3034 Translation Jobs - Page 3

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. Major Accountabilities of Position : a AI/ML Architect must have Defining, designing, and delivering ML architecture patterns operable in native and hybrid cloud architectures. Collaborate with Enterprise Architecture, Info Security, DevOps and Data Intelligence team to implement ML Solutions. Defining data augmentation pipelines for unstructured data like Documents, Engineering drawings etc. Build new network architecture in CNN/LSTM/RCNN or Develop wrapper for pre-trained models. Conduct feasibility of transfer learning fitment for given problem. Research, analyze, recommend, and select technical approaches to address challenging development and data integration problems related to ML Model training and deployment in Enterprise Applications. Perform research activities to identify emerging technologies (Generative AI) and trends that may affect the Data Science/ ML life-cycle management in enterprise application portfolio. Design and deploy AI/ML models in real-world environments and integrating AI/ML using Cloud native or hybrid technologies into large-scale enterprise applications .Demonstrated experience developing best practices and recommendations around tools/technologies for ML life-cycle capabilities such as Data collection, Data preparation, Feature Engineering, Model Management, ML Ops, Model Deployment approaches and Model monitoring and tuning. Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise): Hands-on programming and architecture capabilities in Python. Demonstrated technical expertise around architecting solutions around AI, ML, deep learning and Generative AI related technologies. Experience in implementing and deploying Machine Learning solutions (using various models, such as GPT-4, Lama2, Mistral ai, text embedding ada, Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Topic Modeling, Game Theory etc. ) Understanding of Nvidia Enterprise NEMO Suite. Expertise in popular deep learning frameworks, such as TensorFlow, PyTorch, and Keras, for building, training, and deploying neural network models. Experience in AI solution development with external SaaS products like Azure OCR Experience in the AI/ML components like Azure ML studio, Jupyter Hub, TensorFlow & Sci-Kit Learn Hands-on knowledge of API frameworks. Familiarity with the transformer architecture and its applications in natural language processing (NLP), such as machine translation, text summarization, and question-answering systems. 10. Expertise in designing and implementing CNNs for computer vision tasks, such as image classification, object detection, and semantic segmentation. Hands on experience in RDBMS, NoSQL, big data stores like: Elastic, Cassandra. Experience with open source software Experience using the cognitive APIs machine learning studios on cloud. Hands-on knowledge of image processing with deep learning ( CNN,RNN,LSTM,GAN) Familiarity with GPU computing and tools like CUDA and cu DNN to accelerate deep learning computations and reduce training times. Understanding of complete AI/ML project life cycle Understanding of data structures, data modelling and software architecture Good understanding of containerization and experience working with Docker, AKS. People Skills Clear and concise communication is vital for explaining complex machine learning concepts to non-technical stakeholders, presenting results, and collaborating with cross-functional teams. Ability to work independently and as part of a team. Being open to new ideas, embracing change, and adapting to evolving technologies and methodologies are crucial for staying relevant and effective in the rapidly changing field of machine learning. Cooperative mindset, flexibility, and the ability to work effectively in a team. Professional and open communication to all internal and external interfaces. Balancing multiple projects, prioritizing tasks, and meeting deadlines while maintaining a high standard of work requires effective time management and organizational skills. Accurately report to management in a timely and effective manner. Other Skills Outstanding analytical and problem-solving skills Education – Qualifications, Accreditation, Training Master’s in Information Technology / Big Data/Data Science/AI/Computer Science Minimum 4- Maximum 7 year experience as AI/ML Architect on AI and ML projects. Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-WB-Kolkata, IND-MM-Mumbai, IND-MM-Pune, IND-TN-Chennai Job Digital Solutions Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Head of Data Intelligence Duration of Contract 0

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. Worley Digital At Worley, our Digital team collaborates closely with the business to deliver efficient, technology-enabled sustainable solutions, that will be transformational for Worley. This team, aptly named Worley Digital, is currently seeking talented individuals who would be working on a wide range of latest technologies, including solutions based on Automation, Generative AI. What drives us at Worley Digital? It’s our shared passion for pushing the boundaries of technological innovation, embracing best practices, and propelling Worley to the forefront of industry advancements. If you’re naturally curious, open-minded, and a self-motivated learner - one who’s ready to invest time and effort to stay future-ready - then Worley could be your ideal workplace. Major Accountabilities of Position: AI/ML Architect must have Defining, designing, and delivering ML architecture patterns operable in native and hybrid cloud architectures. Collaborate with Enterprise Architecture, Info Security, DevOps and Data Intelligence team to implement ML Solutions. Defining data augmentation pipelines for unstructured data like Documents, Engineering drawings etc. Build new network architecture in CNN/LSTM/RCNN or Develop wrapper for pre-trained models. Conduct feasibility of transfer learning fitment for given problem. Research, analyze, recommend, and select technical approaches to address challenging development and data integration problems related to ML Model training and deployment in Enterprise Applications. Perform research activities to identify emerging technologies (Generative AI) and trends that may affect the Data Science/ ML life-cycle management in enterprise application portfolio. Design and deploy AI/ML models in real-world environments and integrating AI/ML using Cloud native or hybrid technologies into large-scale enterprise applications .Demonstrated experience developing best practices and recommendations around tools/technologies for ML life-cycle capabilities such as Data collection, Data preparation, Feature Engineering, Model Management, ML Ops, Model Deployment approaches and Model monitoring and tuning. Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise): Hands-on programming and architecture capabilities in Python. Demonstrated technical expertise around architecting solutions around AI, ML, deep learning and Generative AI related technologies. Experience in implementing and deploying Machine Learning solutions (using various models, such as GPT-4, Lama2, Mistral ai, text embedding ada, Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Topic Modeling, Game Theory etc. ) Understanding of Nvidia Enterprise NEMO Suite. Expertise in popular deep learning frameworks, such as TensorFlow, PyTorch, and Keras, for building, training, and deploying neural network models. Experience in AI solution development with external SaaS products like Azure OCR Experience in the AI/ML components like Azure ML studio, Jupyter Hub, TensorFlow & Sci-Kit Learn Hands-on knowledge of API frameworks. Familiarity with the transformer architecture and its applications in natural language processing (NLP), such as machine translation, text summarization, and question-answering systems. 10. Expertise in designing and implementing CNNs for computer vision tasks, such as image classification, object detection, and semantic segmentation. Hands on experience in RDBMS, NoSQL, big data stores like: Elastic, Cassandra. Experience with open source software Experience using the cognitive APIs machine learning studios on cloud. Hands-on knowledge of image processing with deep learning ( CNN,RNN,LSTM,GAN) Familiarity with GPU computing and tools like CUDA and cu DNN to accelerate deep learning computations and reduce training times. Understanding of complete AI/ML project life cycle Understanding of data structures, data modelling and software architecture Good understanding of containerization and experience working with Docker, AKS. People Skills Clear and concise communication is vital for explaining complex machine learning concepts to non-technical stakeholders, presenting results, and collaborating with cross-functional teams. Ability to work independently and as part of a team. Being open to new ideas, embracing change, and adapting to evolving technologies and methodologies are crucial for staying relevant and effective in the rapidly changing field of machine learning. Cooperative mindset, flexibility, and the ability to work effectively in a team. Professional and open communication to all internal and external interfaces. Balancing multiple projects, prioritizing tasks, and meeting deadlines while maintaining a high standard of work requires effective time management and organizational skills. Accurately report to management in a timely and effective manner. Other Skills Outstanding analytical and problem-solving skills Education – Qualifications, Accreditation, Training Master’s in Information Technology / Big Data/Data Science/AI/Computer Science Minimum 4- Maximum 7 year experience as AI/ML Architect on AI and ML projects. Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-WB-Kolkata, IND-MM-Pune, IND-TN-Chennai Job Digital Solutions Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Head of Data Intelligence Duration of Contract 0

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. At Worley, our Digital team collaborates closely with the business to deliver efficient, technology-enabled sustainable solutions, that will be transformational for Worley. This team, aptly named Worley Digital, is currently seeking talented individuals who would be working on a wide range of latest technologies, including solutions based on Automation, Generative AI. What drives us at Worley Digital? It’s our shared passion for pushing the boundaries of technological innovation, embracing best practices, and propelling Worley to the forefront of industry advancements. If you’re naturally curious, open-minded, and a self-motivated learner - one who’s ready to invest time and effort to stay future-ready - then Worley could be your ideal workplace. Position Title (Global): Sr ML Engineer MAJOR ACCOUNTABILITIES OF POSITION: Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress Utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise class Managing Data Science project life cycle from exploratory data analysis to productization (Alpha/Beta Release) .Manage small team to collaborate with Architecture, Data Warehouse, Data Governance teams for providing analytics as service. Mentor team member for AI/ML development Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Finding available datasets online that could be used for training Defining validation strategies Defining the preprocessing or feature engineering to be done on a given dataset. Defining data augmentation pipelines Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production. Development of the ML algorithms that could be used to solve a given problem and ranking them by their success probability. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise): Proven experience as a Data Scientist– AI/ML or similar role Ability to write robust code in Python. Experience in the Generative AI components like LLMs, LangChain, LlamaIndex, OpenAI, Mistral, Llama etc. Experience in supervised/semi-supervised and unsupervised machine learning algorithms. Experience using the cognitive APIs machine learning studios on cloud. Up to speed on NLP (Summarization, Translation models, Named Entity Recognition) Hands-on knowledge of image processing with deep learning (CNN, RNN, LSTM, GAN) Understanding of complete AI/ML project life cycle. Understanding of data structures, data modelling and software architecture. People Skills: Ability to communicate clearly and concisely and a flexible mindset to handle a quickly changing culture Ability to work independently and/or as part of cross-domain big team Professional and open communication to all internal and external interfaces. Accurately report to management in a timely and effective manner. Other Skills: Outstanding analytical and problem-solving skills Taking ownership of the tasks in hand and being accountable for deliverables. Education – Qualifications, Accreditation, Training: Minimum 4–7 years’ experience as a Data Scientist on AI and ML projects. Master’s in information technology / Big Data/Data Science/AI/Computer Science or related field Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Education – Qualifications, Accreditation, Training: Master’s in Information Technology / Big Data/Data Science/AI/Computer Science Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-MM-Pune, IND-TN-Chennai, IND-GJ-Vadodara, IND-AP-Hyderabad, IND-WB-Kolkata Job Digital Platforms & Data Science Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Senior Manager

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. Worley Digital At Worley, our Digital team collaborates closely with the business to deliver efficient, technology-enabled sustainable solutions, that will be transformational for Worley. This team, aptly named Worley Digital, is currently seeking talented individuals who would be working on a wide range of latest technologies, including solutions based on Automation, Generative AI. What drives us at Worley Digital? It’s our shared passion for pushing the boundaries of technological innovation, embracing best practices, and propelling Worley to the forefront of industry advancements. If you’re naturally curious, open-minded, and a self-motivated learner - one who’s ready to invest time and effort to stay future-ready - then Worley could be your ideal workplace. Position Title (Global): Data Scientist II MAJOR ACCOUNTABILITIES OF POSITION: Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress Utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise class Managing Data Science project life cycle from exploratory data analysis to productization (Alpha/Beta Release) .Manage small team to collaborate with Architecture, Data Warehouse, Data Governance teams for providing analytics as service. Mentor team member for AI/ML development Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Finding available datasets online that could be used for training Defining validation strategies Defining the preprocessing or feature engineering to be done on a given dataset. Defining data augmentation pipelines Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production. Development of the ML algorithms that could be used to solve a given problem and ranking them by their success probability. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise): Proven experience as a Data Scientist– AI/ML or similar role Ability to write robust code in Python. Experience in the Generative AI components like LLMs, LangChain, LlamaIndex, OpenAI, Mistral, Llama etc. Experience in supervised/semi-supervised and unsupervised machine learning algorithms. Experience using the cognitive APIs machine learning studios on cloud. Up to speed on NLP (Summarization, Translation models, Named Entity Recognition) Hands-on knowledge of image processing with deep learning (CNN, RNN, LSTM, GAN) Understanding of complete AI/ML project life cycle. Understanding of data structures, data modelling and software architecture. People Skills: Ability to communicate clearly and concisely and a flexible mindset to handle a quickly changing culture Ability to work independently and/or as part of cross-domain big team Professional and open communication to all internal and external interfaces. Accurately report to management in a timely and effective manner. Other Skills: Outstanding analytical and problem-solving skills Taking ownership of the tasks in hand and being accountable for deliverables. Education – Qualifications, Accreditation, Training: Minimum 4–7 years’ experience as a Data Scientist on AI and ML projects. Master’s in information technology / Big Data/Data Science/AI/Computer Science or related field Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Education – Qualifications, Accreditation, Training: Master’s in information technology / Big Data/Data Science/AI/Computer Science or related field Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-MM-Pune, IND-TN-Chennai, IND-GJ-Vadodara, IND-AP-Hyderabad, IND-WB-Kolkata Job Digital Platforms & Data Science Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Senior Manager

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. At Worley, our Digital team collaborates closely with the business to deliver efficient, technology-enabled sustainable solutions, that will be transformational for Worley. This team, aptly named Worley Digital, is currently seeking talented individuals who would be working on a wide range of latest technologies, including solutions based on Automation, Generative AI. What drives us at Worley Digital? It’s our shared passion for pushing the boundaries of technological innovation, embracing best practices, and propelling Worley to the forefront of industry advancements. If you’re naturally curious, open-minded, and a self-motivated learner - one who’s ready to invest time and effort to stay future-ready - then Worley could be your ideal workplace. Position Title (Global): Sr ML Engineer MAJOR ACCOUNTABILITIES OF POSITION: Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress Utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise class Managing Data Science project life cycle from exploratory data analysis to productization (Alpha/Beta Release) .Manage small team to collaborate with Architecture, Data Warehouse, Data Governance teams for providing analytics as service. Mentor team member for AI/ML development Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Finding available datasets online that could be used for training Defining validation strategies Defining the preprocessing or feature engineering to be done on a given dataset. Defining data augmentation pipelines Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production. Development of the ML algorithms that could be used to solve a given problem and ranking them by their success probability. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise): Proven experience as a Data Scientist– AI/ML or similar role Ability to write robust code in Python. Experience in the Generative AI components like LLMs, LangChain, LlamaIndex, OpenAI, Mistral, Llama etc. Experience in supervised/semi-supervised and unsupervised machine learning algorithms. Experience using the cognitive APIs machine learning studios on cloud. Up to speed on NLP (Summarization, Translation models, Named Entity Recognition) Hands-on knowledge of image processing with deep learning (CNN, RNN, LSTM, GAN) Understanding of complete AI/ML project life cycle. Understanding of data structures, data modelling and software architecture. People Skills: Ability to communicate clearly and concisely and a flexible mindset to handle a quickly changing culture Ability to work independently and/or as part of cross-domain big team Professional and open communication to all internal and external interfaces. Accurately report to management in a timely and effective manner. Other Skills: Outstanding analytical and problem-solving skills Taking ownership of the tasks in hand and being accountable for deliverables. Education – Qualifications, Accreditation, Training: Minimum 4–7 years’ experience as a Data Scientist on AI and ML projects. Master’s in information technology / Big Data/Data Science/AI/Computer Science or related field Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Education – Qualifications, Accreditation, Training: Master’s in Information Technology / Big Data/Data Science/AI/Computer Science Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-MM-Pune, IND-TN-Chennai, IND-GJ-Vadodara, IND-AP-Hyderabad, IND-WB-Kolkata Job Digital Platforms & Data Science Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Senior Manager

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. Worley Digital At Worley, our Digital team collaborates closely with the business to deliver efficient, technology-enabled sustainable solutions, that will be transformational for Worley. This team, aptly named Worley Digital, is currently seeking talented individuals who would be working on a wide range of latest technologies, including solutions based on Automation, Generative AI. What drives us at Worley Digital? It’s our shared passion for pushing the boundaries of technological innovation, embracing best practices, and propelling Worley to the forefront of industry advancements. If you’re naturally curious, open-minded, and a self-motivated learner - one who’s ready to invest time and effort to stay future-ready - then Worley could be your ideal workplace. Position Title (Global): Data Scientist II MAJOR ACCOUNTABILITIES OF POSITION: Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress Utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise class Managing Data Science project life cycle from exploratory data analysis to productization (Alpha/Beta Release) .Manage small team to collaborate with Architecture, Data Warehouse, Data Governance teams for providing analytics as service. Mentor team member for AI/ML development Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Finding available datasets online that could be used for training Defining validation strategies Defining the preprocessing or feature engineering to be done on a given dataset. Defining data augmentation pipelines Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production. Development of the ML algorithms that could be used to solve a given problem and ranking them by their success probability. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise): Proven experience as a Data Scientist– AI/ML or similar role Ability to write robust code in Python. Experience in the Generative AI components like LLMs, LangChain, LlamaIndex, OpenAI, Mistral, Llama etc. Experience in supervised/semi-supervised and unsupervised machine learning algorithms. Experience using the cognitive APIs machine learning studios on cloud. Up to speed on NLP (Summarization, Translation models, Named Entity Recognition) Hands-on knowledge of image processing with deep learning (CNN, RNN, LSTM, GAN) Understanding of complete AI/ML project life cycle. Understanding of data structures, data modelling and software architecture. People Skills: Ability to communicate clearly and concisely and a flexible mindset to handle a quickly changing culture Ability to work independently and/or as part of cross-domain big team Professional and open communication to all internal and external interfaces. Accurately report to management in a timely and effective manner. Other Skills: Outstanding analytical and problem-solving skills Taking ownership of the tasks in hand and being accountable for deliverables. Education – Qualifications, Accreditation, Training: Minimum 4–7 years’ experience as a Data Scientist on AI and ML projects. Master’s in information technology / Big Data/Data Science/AI/Computer Science or related field Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Education – Qualifications, Accreditation, Training: Master’s in information technology / Big Data/Data Science/AI/Computer Science or related field Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-MM-Pune, IND-TN-Chennai, IND-GJ-Vadodara, IND-AP-Hyderabad, IND-WB-Kolkata Job Digital Platforms & Data Science Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Senior Manager

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. Major Accountabilities of Position : a AI/ML Architect must have Defining, designing, and delivering ML architecture patterns operable in native and hybrid cloud architectures. Collaborate with Enterprise Architecture, Info Security, DevOps and Data Intelligence team to implement ML Solutions. Defining data augmentation pipelines for unstructured data like Documents, Engineering drawings etc. Build new network architecture in CNN/LSTM/RCNN or Develop wrapper for pre-trained models. Conduct feasibility of transfer learning fitment for given problem. Research, analyze, recommend, and select technical approaches to address challenging development and data integration problems related to ML Model training and deployment in Enterprise Applications. Perform research activities to identify emerging technologies (Generative AI) and trends that may affect the Data Science/ ML life-cycle management in enterprise application portfolio. Design and deploy AI/ML models in real-world environments and integrating AI/ML using Cloud native or hybrid technologies into large-scale enterprise applications .Demonstrated experience developing best practices and recommendations around tools/technologies for ML life-cycle capabilities such as Data collection, Data preparation, Feature Engineering, Model Management, ML Ops, Model Deployment approaches and Model monitoring and tuning. Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise): Hands-on programming and architecture capabilities in Python. Demonstrated technical expertise around architecting solutions around AI, ML, deep learning and Generative AI related technologies. Experience in implementing and deploying Machine Learning solutions (using various models, such as GPT-4, Lama2, Mistral ai, text embedding ada, Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Topic Modeling, Game Theory etc. ) Understanding of Nvidia Enterprise NEMO Suite. Expertise in popular deep learning frameworks, such as TensorFlow, PyTorch, and Keras, for building, training, and deploying neural network models. Experience in AI solution development with external SaaS products like Azure OCR Experience in the AI/ML components like Azure ML studio, Jupyter Hub, TensorFlow & Sci-Kit Learn Hands-on knowledge of API frameworks. Familiarity with the transformer architecture and its applications in natural language processing (NLP), such as machine translation, text summarization, and question-answering systems. 10. Expertise in designing and implementing CNNs for computer vision tasks, such as image classification, object detection, and semantic segmentation. Hands on experience in RDBMS, NoSQL, big data stores like: Elastic, Cassandra. Experience with open source software Experience using the cognitive APIs machine learning studios on cloud. Hands-on knowledge of image processing with deep learning ( CNN,RNN,LSTM,GAN) Familiarity with GPU computing and tools like CUDA and cu DNN to accelerate deep learning computations and reduce training times. Understanding of complete AI/ML project life cycle Understanding of data structures, data modelling and software architecture Good understanding of containerization and experience working with Docker, AKS. People Skills Clear and concise communication is vital for explaining complex machine learning concepts to non-technical stakeholders, presenting results, and collaborating with cross-functional teams. Ability to work independently and as part of a team. Being open to new ideas, embracing change, and adapting to evolving technologies and methodologies are crucial for staying relevant and effective in the rapidly changing field of machine learning. Cooperative mindset, flexibility, and the ability to work effectively in a team. Professional and open communication to all internal and external interfaces. Balancing multiple projects, prioritizing tasks, and meeting deadlines while maintaining a high standard of work requires effective time management and organizational skills. Accurately report to management in a timely and effective manner. Other Skills Outstanding analytical and problem-solving skills Education – Qualifications, Accreditation, Training Master’s in Information Technology / Big Data/Data Science/AI/Computer Science Minimum 4- Maximum 7 year experience as AI/ML Architect on AI and ML projects. Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-WB-Kolkata, IND-MM-Mumbai, IND-MM-Pune, IND-TN-Chennai Job Digital Solutions Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Head of Data Intelligence Duration of Contract 0

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. Worley Digital At Worley, our Digital team collaborates closely with the business to deliver efficient, technology-enabled sustainable solutions, that will be transformational for Worley. This team, aptly named Worley Digital, is currently seeking talented individuals who would be working on a wide range of latest technologies, including solutions based on Automation, Generative AI. What drives us at Worley Digital? It’s our shared passion for pushing the boundaries of technological innovation, embracing best practices, and propelling Worley to the forefront of industry advancements. If you’re naturally curious, open-minded, and a self-motivated learner - one who’s ready to invest time and effort to stay future-ready - then Worley could be your ideal workplace. Major Accountabilities of Position: AI/ML Architect must have Defining, designing, and delivering ML architecture patterns operable in native and hybrid cloud architectures. Collaborate with Enterprise Architecture, Info Security, DevOps and Data Intelligence team to implement ML Solutions. Defining data augmentation pipelines for unstructured data like Documents, Engineering drawings etc. Build new network architecture in CNN/LSTM/RCNN or Develop wrapper for pre-trained models. Conduct feasibility of transfer learning fitment for given problem. Research, analyze, recommend, and select technical approaches to address challenging development and data integration problems related to ML Model training and deployment in Enterprise Applications. Perform research activities to identify emerging technologies (Generative AI) and trends that may affect the Data Science/ ML life-cycle management in enterprise application portfolio. Design and deploy AI/ML models in real-world environments and integrating AI/ML using Cloud native or hybrid technologies into large-scale enterprise applications .Demonstrated experience developing best practices and recommendations around tools/technologies for ML life-cycle capabilities such as Data collection, Data preparation, Feature Engineering, Model Management, ML Ops, Model Deployment approaches and Model monitoring and tuning. Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise): Hands-on programming and architecture capabilities in Python. Demonstrated technical expertise around architecting solutions around AI, ML, deep learning and Generative AI related technologies. Experience in implementing and deploying Machine Learning solutions (using various models, such as GPT-4, Lama2, Mistral ai, text embedding ada, Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Topic Modeling, Game Theory etc. ) Understanding of Nvidia Enterprise NEMO Suite. Expertise in popular deep learning frameworks, such as TensorFlow, PyTorch, and Keras, for building, training, and deploying neural network models. Experience in AI solution development with external SaaS products like Azure OCR Experience in the AI/ML components like Azure ML studio, Jupyter Hub, TensorFlow & Sci-Kit Learn Hands-on knowledge of API frameworks. Familiarity with the transformer architecture and its applications in natural language processing (NLP), such as machine translation, text summarization, and question-answering systems. 10. Expertise in designing and implementing CNNs for computer vision tasks, such as image classification, object detection, and semantic segmentation. Hands on experience in RDBMS, NoSQL, big data stores like: Elastic, Cassandra. Experience with open source software Experience using the cognitive APIs machine learning studios on cloud. Hands-on knowledge of image processing with deep learning ( CNN,RNN,LSTM,GAN) Familiarity with GPU computing and tools like CUDA and cu DNN to accelerate deep learning computations and reduce training times. Understanding of complete AI/ML project life cycle Understanding of data structures, data modelling and software architecture Good understanding of containerization and experience working with Docker, AKS. People Skills Clear and concise communication is vital for explaining complex machine learning concepts to non-technical stakeholders, presenting results, and collaborating with cross-functional teams. Ability to work independently and as part of a team. Being open to new ideas, embracing change, and adapting to evolving technologies and methodologies are crucial for staying relevant and effective in the rapidly changing field of machine learning. Cooperative mindset, flexibility, and the ability to work effectively in a team. Professional and open communication to all internal and external interfaces. Balancing multiple projects, prioritizing tasks, and meeting deadlines while maintaining a high standard of work requires effective time management and organizational skills. Accurately report to management in a timely and effective manner. Other Skills Outstanding analytical and problem-solving skills Education – Qualifications, Accreditation, Training Master’s in Information Technology / Big Data/Data Science/AI/Computer Science Minimum 4- Maximum 7 year experience as AI/ML Architect on AI and ML projects. Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-WB-Kolkata, IND-MM-Pune, IND-TN-Chennai Job Digital Solutions Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Head of Data Intelligence Duration of Contract 0

Job Title: DevOps Engineer – Tool Installation & Configuration Specialist Location: New Delhi Employment Type: Full-time Experience Required: 4–8 years Job Summary: We are seeking a highly skilled and detail-oriented DevOps Engineer with proven experience in installing, configuring, and managing a diverse range of development, testing, deployment, and monitoring tools. The ideal candidate will play a critical role in streamlining the DevOps & CI - CD pipeline and ensuring the smooth functioning of various open-source and enterprise tools used across our software development lifecycle. Key Responsibilities: Tool Installation & Configuration: Install, configure, and maintain a wide range of tools and platforms used for project management, development, testing, CI/CD, monitoring, and infrastructure automation. Ensure all systems are properly integrated, secured, and optimized for performance and scalability. System Administration & Support: Provide hands-on support for tool-related issues and troubleshoot environment problems. Maintain documentation for installations, configurations, best practices, and procedures. Automation & Scripting: Create scripts or templates (Bash, Python, YAML, etc.) for automated deployment and configuration of tools wherever possible. Security & Access Control: Configure proper user roles, permissions, and authentication integrations (e.g., Keycloak) to manage secure access to tools and environments. Performance Monitoring & Optimization: Use observability tools like Prometheus , Grafana , and Loki to monitor system health, application logs, and alerts. Tools Knowledge Required: Project Management & Design: OpenProject – Installation, workflow setup, user/group configuration Figma – Integration support for design-development pipelines Development Tools: Sublime Text – License management and plugin configurations Open Project , Figma, VS Code, Postman, Nexus Load Runner, Cucumber, Promethus, Loki, Gafana, Bhashini/Sarvam ,drupal Laravel Postman – Environment setups, API testing collections PHPUnit / Behat / Cucumber – Test suite integration and configuration GitHub – Repo management, Git workflows, Webhooks Jenkins – CI/CD pipelines, plugin configurations, jobs setup Docker – Containerization, custom image building, Docker Compose Kubernetes – Helm charts, cluster management, deployment setups Repository & Artifact Management: Nexus – Repository creation, access control, artifact management Performance & Load Testing: LoadRunner – Test scenario setup, result analysis Monitoring & Logging: Prometheus – Metric scraping, alert rules Loki – Log aggregation and configuration Grafana – Dashboard creation and data source configuration Language & AI Tools: Bhashini – Integration for language translation/voice services Tesseract – OCR installation and tuning Search & Indexing: Apache Solr – Core configuration, schema setup, tuning Database & Storage: MySQL – Database setup, backup/restore, performance tuning EISEN Vault – Secure document storage configuration Helpdesk & Ticketing: OS Tickets – Helpdesk system configuration, automation rules CMS & Frameworks: Drupal – Site setup, module configuration, deployment Laravel – Application setup, Artisan commands, environment configs Access & Security: Keycloak – Identity and access management configuration Apache APISIX – API gateway setup, plugin configuration Memcached – Installation, cache tuning, integration with applications Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field 4+ years of experience in DevOps or System Administration roles Strong Linux/Unix administration background Experience with automation and IaC tools is a plus (e.g., Ansible, Terraform) Familiarity with software development lifecycle (SDLC) and agile methodologies Good scripting and troubleshooting skills Soft Skills: Strong analytical and problem-solving skills Excellent communication and documentation abilities Ability to manage multiple tasks and priorities in a fast-paced environment Team-oriented with a proactive attitude Job Type: Full-time Pay: ₹80,000.00 - ₹120,000.00 per month Benefits: Health insurance Schedule: Day shift Work Location: In person Speak with the employer +91 9873665633

Description Translation Services seeks a passionate Software Development Engineer to drive innovations in translation to reach every Amazon customer in their own language. Key job responsibilities Are you passionate about creating high-performance, large-scale language translation services to support Amazon's current and future growth? Do you thrive in environments where you can lead innovation? If so, we're seeking a software engineer to join the Translation Services (TS) team. TS provides technology solutions and services that deliver quality translations at the lowest possible cost for Amazon businesses. As a Software Development Engineer, you'll help drive efforts to build translations solutions at Amazon scale with 100% translations coverage, eventually making translations a no-op for developers so that they can focus on business logic and application building. We're seeking a self-starting individual comfortable with ambiguity, possessing strong attention to detail, and dedicated to ensuring that secondary language experiences match the excellence of primary language experiences, even at Amazon's vast scale. About The Team We have multiple talented engineering teams with four based in Seattle, WA and five based in HYD and a great office space where we collaborate. Our vision: Language will not stand in the way of anyone on earth using Amazon products and services. Our mission: We are the enablers and guardians of translation for Amazon's customers. We do this by offering hands-off-the-wheel service to all Amazon teams, optimizing translation quality and speed at the lowest cost possible. Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming language Preferred Qualifications 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 13 SEZ Job ID: A3031292

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. Worley Digital At Worley, our Digital team collaborates closely with the business to deliver efficient, technology-enabled sustainable solutions, that will be transformational for Worley. This team, aptly named Worley Digital, is currently seeking talented individuals who would be working on a wide range of latest technologies, including solutions based on Automation, Generative AI. What drives us at Worley Digital? It’s our shared passion for pushing the boundaries of technological innovation, embracing best practices, and propelling Worley to the forefront of industry advancements. If you’re naturally curious, open-minded, and a self-motivated learner - one who’s ready to invest time and effort to stay future-ready - then Worley could be your ideal workplace. Position Title (Global): Data Scientist II MAJOR ACCOUNTABILITIES OF POSITION: Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress Utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise class Managing Data Science project life cycle from exploratory data analysis to productization (Alpha/Beta Release) .Manage small team to collaborate with Architecture, Data Warehouse, Data Governance teams for providing analytics as service. Mentor team member for AI/ML development Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Finding available datasets online that could be used for training Defining validation strategies Defining the preprocessing or feature engineering to be done on a given dataset. Defining data augmentation pipelines Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production. Development of the ML algorithms that could be used to solve a given problem and ranking them by their success probability. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise): Proven experience as a Data Scientist– AI/ML or similar role Ability to write robust code in Python. Experience in the Generative AI components like LLMs, LangChain, LlamaIndex, OpenAI, Mistral, Llama etc. Experience in supervised/semi-supervised and unsupervised machine learning algorithms. Experience using the cognitive APIs machine learning studios on cloud. Up to speed on NLP (Summarization, Translation models, Named Entity Recognition) Hands-on knowledge of image processing with deep learning (CNN, RNN, LSTM, GAN) Understanding of complete AI/ML project life cycle. Understanding of data structures, data modelling and software architecture. People Skills: Ability to communicate clearly and concisely and a flexible mindset to handle a quickly changing culture Ability to work independently and/or as part of cross-domain big team Professional and open communication to all internal and external interfaces. Accurately report to management in a timely and effective manner. Other Skills: Outstanding analytical and problem-solving skills Taking ownership of the tasks in hand and being accountable for deliverables. Education – Qualifications, Accreditation, Training: Minimum 4–7 years’ experience as a Data Scientist on AI and ML projects. Master’s in information technology / Big Data/Data Science/AI/Computer Science or related field Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Education – Qualifications, Accreditation, Training: Master’s in information technology / Big Data/Data Science/AI/Computer Science or related field Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-MM-Pune, IND-TN-Chennai, IND-GJ-Vadodara, IND-AP-Hyderabad, IND-WB-Kolkata Job Digital Platforms & Data Science Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Senior Manager

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. At Worley, our Digital team collaborates closely with the business to deliver efficient, technology-enabled sustainable solutions, that will be transformational for Worley. This team, aptly named Worley Digital, is currently seeking talented individuals who would be working on a wide range of latest technologies, including solutions based on Automation, Generative AI. What drives us at Worley Digital? It’s our shared passion for pushing the boundaries of technological innovation, embracing best practices, and propelling Worley to the forefront of industry advancements. If you’re naturally curious, open-minded, and a self-motivated learner - one who’s ready to invest time and effort to stay future-ready - then Worley could be your ideal workplace. Position Title (Global): Sr ML Engineer MAJOR ACCOUNTABILITIES OF POSITION: Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress Utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise class Managing Data Science project life cycle from exploratory data analysis to productization (Alpha/Beta Release) .Manage small team to collaborate with Architecture, Data Warehouse, Data Governance teams for providing analytics as service. Mentor team member for AI/ML development Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Finding available datasets online that could be used for training Defining validation strategies Defining the preprocessing or feature engineering to be done on a given dataset. Defining data augmentation pipelines Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production. Development of the ML algorithms that could be used to solve a given problem and ranking them by their success probability. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise): Proven experience as a Data Scientist– AI/ML or similar role Ability to write robust code in Python. Experience in the Generative AI components like LLMs, LangChain, LlamaIndex, OpenAI, Mistral, Llama etc. Experience in supervised/semi-supervised and unsupervised machine learning algorithms. Experience using the cognitive APIs machine learning studios on cloud. Up to speed on NLP (Summarization, Translation models, Named Entity Recognition) Hands-on knowledge of image processing with deep learning (CNN, RNN, LSTM, GAN) Understanding of complete AI/ML project life cycle. Understanding of data structures, data modelling and software architecture. People Skills: Ability to communicate clearly and concisely and a flexible mindset to handle a quickly changing culture Ability to work independently and/or as part of cross-domain big team Professional and open communication to all internal and external interfaces. Accurately report to management in a timely and effective manner. Other Skills: Outstanding analytical and problem-solving skills Taking ownership of the tasks in hand and being accountable for deliverables. Education – Qualifications, Accreditation, Training: Minimum 4–7 years’ experience as a Data Scientist on AI and ML projects. Master’s in information technology / Big Data/Data Science/AI/Computer Science or related field Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Education – Qualifications, Accreditation, Training: Master’s in Information Technology / Big Data/Data Science/AI/Computer Science Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-MM-Pune, IND-TN-Chennai, IND-GJ-Vadodara, IND-AP-Hyderabad, IND-WB-Kolkata Job Digital Platforms & Data Science Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Senior Manager

🚀 We're Hiring: Operations Manager – Data Annotation, Transcription & AI Projects 📍 Location: Salem / Erode | 🕒 Full-Time | 🏢 On-Premise | 📅 Day Shift | Weekend Availability Info G Innovative Solutions is looking for a dynamic and experienced Operations Manager to lead the execution of diverse client projects across data annotation, transcription, and data collection. If you're a hands-on leader who thrives in fast-paced environments and can build scalable workflows from scratch—this role is for you! 🔍 Position Summary As an Operations Manager, you’ll own project delivery, mentor teams, and collaborate cross-functionally to ensure high-quality execution across multiple domains including Generative AI, LLM data prep, and multilingual workflows. 🧠 Key Responsibilities 📦 Lead end-to-end execution of annotation, transcription, and data collection projects 🛠️ Build scalable SOPs, trackers, and delivery pipelines tailored to each project type 👥 Mentor and manage teams of SMEs, TLs, and annotators; oversee onboarding and training 🤝 Collaborate with Business Development to convert client needs into actionable plans 🚨 Handle escalations, ensure quality control, and drive continuous improvement 📊 Prepare reports, delivery documentation, and support client audits and reviews 🧪 Project Areas Exposure 🖼️ Annotation: Image, Video, Audio, Text, 3D 🗣️ Language: Transcription, Translation (human & machine-aided) 📸 Data Collection: Field data, user-generated content 🤖 Generative AI: Prompt creation, evaluation, LLM data prep (preferred) 📊 Key Performance Indicators (KPIs) Timely execution of diverse project types SOP setup and standardization Delivery quality and client satisfaction Efficient project ramp-up and team readiness Smooth collaboration with BD, HR, and Tech teams 🎓 Required Skills & Qualifications Bachelor’s/Master’s in Business, Technology, or related field 6–8 years total experience, with 4–5 years in operations for data/AI/language services Proven expertise in managing annotation, transcription, and multilingual data projects Strong planning, team management, and delivery metric skills Excellent communication and coordination abilities Exposure to Generative AI or LLM workflows is a plus 🗣️ Languages Required Tamil (oral communication must) English Hindi (good to have) 📧 Interested candidates can share their resume at: hr@infogsolution.com 📞 Contact: 9489979523 (HR) 📢 Know someone perfect for this role? Tag them or share this opportunity #OperationsManager #AIJobs #AnnotationProjects #TranscriptionJobs #DataCollection #GenerativeAI #LLM #HiringNow #SalemJobs #ErodeJobs #TeamLeadership #ProjectManagement #TechCareers #TamilJobs #JobOpening #JoinOurTeam #LinkedInJobs #DataOps #AIProjects #LanguageData #SOP #QualityControl #ClientDelivery #InfoGInnovativeSolutionsThe ideal candidate will have an ability to create and maintain an efficient system of operation to support the business needs. The candidate should be comfortable multitasking and working cross-functionally with different business units. The ideal candidate will have previous experience in related fields.

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. Worley Digital At Worley, our Digital team collaborates closely with the business to deliver efficient, technology-enabled sustainable solutions, that will be transformational for Worley. This team, aptly named Worley Digital, is currently seeking talented individuals who would be working on a wide range of latest technologies, including solutions based on Automation, Generative AI. What drives us at Worley Digital? It’s our shared passion for pushing the boundaries of technological innovation, embracing best practices, and propelling Worley to the forefront of industry advancements. If you’re naturally curious, open-minded, and a self-motivated learner - one who’s ready to invest time and effort to stay future-ready - then Worley could be your ideal workplace. Major Accountabilities of Position: AI/ML Architect must have Defining, designing, and delivering ML architecture patterns operable in native and hybrid cloud architectures. Collaborate with Enterprise Architecture, Info Security, DevOps and Data Intelligence team to implement ML Solutions. Defining data augmentation pipelines for unstructured data like Documents, Engineering drawings etc. Build new network architecture in CNN/LSTM/RCNN or Develop wrapper for pre-trained models. Conduct feasibility of transfer learning fitment for given problem. Research, analyze, recommend, and select technical approaches to address challenging development and data integration problems related to ML Model training and deployment in Enterprise Applications. Perform research activities to identify emerging technologies (Generative AI) and trends that may affect the Data Science/ ML life-cycle management in enterprise application portfolio. Design and deploy AI/ML models in real-world environments and integrating AI/ML using Cloud native or hybrid technologies into large-scale enterprise applications .Demonstrated experience developing best practices and recommendations around tools/technologies for ML life-cycle capabilities such as Data collection, Data preparation, Feature Engineering, Model Management, ML Ops, Model Deployment approaches and Model monitoring and tuning. Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise): Hands-on programming and architecture capabilities in Python. Demonstrated technical expertise around architecting solutions around AI, ML, deep learning and Generative AI related technologies. Experience in implementing and deploying Machine Learning solutions (using various models, such as GPT-4, Lama2, Mistral ai, text embedding ada, Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Topic Modeling, Game Theory etc. ) Understanding of Nvidia Enterprise NEMO Suite. Expertise in popular deep learning frameworks, such as TensorFlow, PyTorch, and Keras, for building, training, and deploying neural network models. Experience in AI solution development with external SaaS products like Azure OCR Experience in the AI/ML components like Azure ML studio, Jupyter Hub, TensorFlow & Sci-Kit Learn Hands-on knowledge of API frameworks. Familiarity with the transformer architecture and its applications in natural language processing (NLP), such as machine translation, text summarization, and question-answering systems. 10. Expertise in designing and implementing CNNs for computer vision tasks, such as image classification, object detection, and semantic segmentation. Hands on experience in RDBMS, NoSQL, big data stores like: Elastic, Cassandra. Experience with open source software Experience using the cognitive APIs machine learning studios on cloud. Hands-on knowledge of image processing with deep learning ( CNN,RNN,LSTM,GAN) Familiarity with GPU computing and tools like CUDA and cu DNN to accelerate deep learning computations and reduce training times. Understanding of complete AI/ML project life cycle Understanding of data structures, data modelling and software architecture Good understanding of containerization and experience working with Docker, AKS. People Skills Clear and concise communication is vital for explaining complex machine learning concepts to non-technical stakeholders, presenting results, and collaborating with cross-functional teams. Ability to work independently and as part of a team. Being open to new ideas, embracing change, and adapting to evolving technologies and methodologies are crucial for staying relevant and effective in the rapidly changing field of machine learning. Cooperative mindset, flexibility, and the ability to work effectively in a team. Professional and open communication to all internal and external interfaces. Balancing multiple projects, prioritizing tasks, and meeting deadlines while maintaining a high standard of work requires effective time management and organizational skills. Accurately report to management in a timely and effective manner. Other Skills Outstanding analytical and problem-solving skills Education – Qualifications, Accreditation, Training Master’s in Information Technology / Big Data/Data Science/AI/Computer Science Minimum 4- Maximum 7 year experience as AI/ML Architect on AI and ML projects. Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-WB-Kolkata, IND-MM-Pune, IND-TN-Chennai Job Digital Solutions Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Head of Data Intelligence Duration of Contract 0

DESCRIPTION Do you love creating and editing helpful process documents and strategic, customer-facing communications? Are you passionate about developing clear, concise, and straightforward content for internal and external audiences? Do you have a proven track record of delivery high-quality content in a fast-paced environment? If you enjoy driving improvements in content readability, discoverability, and usability, then we'd love to talk to you about joining Amazon's Customer Trust Content Management (CTCM) team as a Lead Content Developer. A day in the life As a Content Developer, you will be responsible for developing standard operating procedure documents for risk and fraud investigators and email communications for Amazon's customers. With the help of our style guide, you will document operational processes and create messaging for a global audience. You are not a copy editor—you are the owner of the investigator and customer experience. You will work with global stakeholders to understand the business priorities and legal requirements that drive the need for high-quality content. It's important that you are self-motivated to look around corners for ways to improve the reader experience. Amazon is a fast-paced environment, and you must be committed to partnering with internal and external stakeholders to deliver high-quality content that responds to the rapidly changing seller landscape. In addition to working on content projects, you will also contribute to team-level goals and initiatives. You will be expected to work on content projects, team-level goals and initiatives, and ad-hoc tasks simultaneously. You will troubleshoot tool issues impacting content that we support and flag issues to the relevant tech team. About the team The CTCM team supports investigators by updating and managing content to support global operations. We use data to make decisions about our content, and we advocate for the investigator and customer experience while balancing advocacy with the need for action. We measure success by having clear and simple content that answers readers' questions before they arise. We are are a global team based in the US, UK, Costa Rica, Ireland, and India. BASIC QUALIFICATIONS Experience managing complex content projects. Experience with project management. You will be expected to work on content projects, team-level goals and initiatives, and ad-hoc tasks simultaneously. Mastery of verbal and written English communications. Strong editorial background and exceptional proofreading and content creation skills. Strong content strategy and information architecture skills. Demonstrated success at learning and explaining business processes. Ability to prioritize and manage multiple stakeholder relationships and needs in a fast-paced environment. Ability to solve problems and work without close direction in ambiguous environments. Ability to troubleshoot and report issues via the appropriate channels. Good judgment and effective communication. Able to work in a diverse team. PREFERRED QUALIFICATIONS 3+ years experience managing content projects of medium or high complexity. Experience working as part of a global team. Experience in a multi-language publishing environment, including translation memories, terminology databases. Experience creating content for translation and localization. Experience in editorial/peer review. Strong attention to detail and organizational skills. Experience with HTML, XML, DITA, or content management systems (CMS). Bachelor's degree in a related field. Experience with, or exposure to, CTPS Operations or business processes for Amazon customers. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. Major Accountabilities of Position : a AI/ML Architect must have Defining, designing, and delivering ML architecture patterns operable in native and hybrid cloud architectures. Collaborate with Enterprise Architecture, Info Security, DevOps and Data Intelligence team to implement ML Solutions. Defining data augmentation pipelines for unstructured data like Documents, Engineering drawings etc. Build new network architecture in CNN/LSTM/RCNN or Develop wrapper for pre-trained models. Conduct feasibility of transfer learning fitment for given problem. Research, analyze, recommend, and select technical approaches to address challenging development and data integration problems related to ML Model training and deployment in Enterprise Applications. Perform research activities to identify emerging technologies (Generative AI) and trends that may affect the Data Science/ ML life-cycle management in enterprise application portfolio. Design and deploy AI/ML models in real-world environments and integrating AI/ML using Cloud native or hybrid technologies into large-scale enterprise applications .Demonstrated experience developing best practices and recommendations around tools/technologies for ML life-cycle capabilities such as Data collection, Data preparation, Feature Engineering, Model Management, ML Ops, Model Deployment approaches and Model monitoring and tuning. Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise): Hands-on programming and architecture capabilities in Python. Demonstrated technical expertise around architecting solutions around AI, ML, deep learning and Generative AI related technologies. Experience in implementing and deploying Machine Learning solutions (using various models, such as GPT-4, Lama2, Mistral ai, text embedding ada, Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Topic Modeling, Game Theory etc. ) Understanding of Nvidia Enterprise NEMO Suite. Expertise in popular deep learning frameworks, such as TensorFlow, PyTorch, and Keras, for building, training, and deploying neural network models. Experience in AI solution development with external SaaS products like Azure OCR Experience in the AI/ML components like Azure ML studio, Jupyter Hub, TensorFlow & Sci-Kit Learn Hands-on knowledge of API frameworks. Familiarity with the transformer architecture and its applications in natural language processing (NLP), such as machine translation, text summarization, and question-answering systems. 10. Expertise in designing and implementing CNNs for computer vision tasks, such as image classification, object detection, and semantic segmentation. Hands on experience in RDBMS, NoSQL, big data stores like: Elastic, Cassandra. Experience with open source software Experience using the cognitive APIs machine learning studios on cloud. Hands-on knowledge of image processing with deep learning ( CNN,RNN,LSTM,GAN) Familiarity with GPU computing and tools like CUDA and cu DNN to accelerate deep learning computations and reduce training times. Understanding of complete AI/ML project life cycle Understanding of data structures, data modelling and software architecture Good understanding of containerization and experience working with Docker, AKS. People Skills Clear and concise communication is vital for explaining complex machine learning concepts to non-technical stakeholders, presenting results, and collaborating with cross-functional teams. Ability to work independently and as part of a team. Being open to new ideas, embracing change, and adapting to evolving technologies and methodologies are crucial for staying relevant and effective in the rapidly changing field of machine learning. Cooperative mindset, flexibility, and the ability to work effectively in a team. Professional and open communication to all internal and external interfaces. Balancing multiple projects, prioritizing tasks, and meeting deadlines while maintaining a high standard of work requires effective time management and organizational skills. Accurately report to management in a timely and effective manner. Other Skills Outstanding analytical and problem-solving skills Education – Qualifications, Accreditation, Training Master’s in Information Technology / Big Data/Data Science/AI/Computer Science Minimum 4- Maximum 7 year experience as AI/ML Architect on AI and ML projects. Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-WB-Kolkata, IND-MM-Mumbai, IND-MM-Pune, IND-TN-Chennai Job Digital Solutions Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Head of Data Intelligence Duration of Contract 0

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. Worley Digital At Worley, our Digital team collaborates closely with the business to deliver efficient, technology-enabled sustainable solutions, that will be transformational for Worley. This team, aptly named Worley Digital, is currently seeking talented individuals who would be working on a wide range of latest technologies, including solutions based on Automation, Generative AI. What drives us at Worley Digital? It’s our shared passion for pushing the boundaries of technological innovation, embracing best practices, and propelling Worley to the forefront of industry advancements. If you’re naturally curious, open-minded, and a self-motivated learner - one who’s ready to invest time and effort to stay future-ready - then Worley could be your ideal workplace. Position Title (Global): Data Scientist II MAJOR ACCOUNTABILITIES OF POSITION: Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress Utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise class Managing Data Science project life cycle from exploratory data analysis to productization (Alpha/Beta Release) .Manage small team to collaborate with Architecture, Data Warehouse, Data Governance teams for providing analytics as service. Mentor team member for AI/ML development Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Finding available datasets online that could be used for training Defining validation strategies Defining the preprocessing or feature engineering to be done on a given dataset. Defining data augmentation pipelines Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production. Development of the ML algorithms that could be used to solve a given problem and ranking them by their success probability. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise): Proven experience as a Data Scientist– AI/ML or similar role Ability to write robust code in Python. Experience in the Generative AI components like LLMs, LangChain, LlamaIndex, OpenAI, Mistral, Llama etc. Experience in supervised/semi-supervised and unsupervised machine learning algorithms. Experience using the cognitive APIs machine learning studios on cloud. Up to speed on NLP (Summarization, Translation models, Named Entity Recognition) Hands-on knowledge of image processing with deep learning (CNN, RNN, LSTM, GAN) Understanding of complete AI/ML project life cycle. Understanding of data structures, data modelling and software architecture. People Skills: Ability to communicate clearly and concisely and a flexible mindset to handle a quickly changing culture Ability to work independently and/or as part of cross-domain big team Professional and open communication to all internal and external interfaces. Accurately report to management in a timely and effective manner. Other Skills: Outstanding analytical and problem-solving skills Taking ownership of the tasks in hand and being accountable for deliverables. Education – Qualifications, Accreditation, Training: Minimum 4–7 years’ experience as a Data Scientist on AI and ML projects. Master’s in information technology / Big Data/Data Science/AI/Computer Science or related field Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Education – Qualifications, Accreditation, Training: Master’s in information technology / Big Data/Data Science/AI/Computer Science or related field Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-MM-Pune, IND-TN-Chennai, IND-GJ-Vadodara, IND-AP-Hyderabad, IND-WB-Kolkata Job Digital Platforms & Data Science Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Senior Manager

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. At Worley, our Digital team collaborates closely with the business to deliver efficient, technology-enabled sustainable solutions, that will be transformational for Worley. This team, aptly named Worley Digital, is currently seeking talented individuals who would be working on a wide range of latest technologies, including solutions based on Automation, Generative AI. What drives us at Worley Digital? It’s our shared passion for pushing the boundaries of technological innovation, embracing best practices, and propelling Worley to the forefront of industry advancements. If you’re naturally curious, open-minded, and a self-motivated learner - one who’s ready to invest time and effort to stay future-ready - then Worley could be your ideal workplace. Position Title (Global): Sr ML Engineer MAJOR ACCOUNTABILITIES OF POSITION: Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress Utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI applications that scale from multi-user to enterprise class Managing Data Science project life cycle from exploratory data analysis to productization (Alpha/Beta Release) .Manage small team to collaborate with Architecture, Data Warehouse, Data Governance teams for providing analytics as service. Mentor team member for AI/ML development Verifying data quality, and/or ensuring it via data cleaning Supervising the data acquisition process if more data is needed Finding available datasets online that could be used for training Defining validation strategies Defining the preprocessing or feature engineering to be done on a given dataset. Defining data augmentation pipelines Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production. Development of the ML algorithms that could be used to solve a given problem and ranking them by their success probability. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise): Proven experience as a Data Scientist– AI/ML or similar role Ability to write robust code in Python. Experience in the Generative AI components like LLMs, LangChain, LlamaIndex, OpenAI, Mistral, Llama etc. Experience in supervised/semi-supervised and unsupervised machine learning algorithms. Experience using the cognitive APIs machine learning studios on cloud. Up to speed on NLP (Summarization, Translation models, Named Entity Recognition) Hands-on knowledge of image processing with deep learning (CNN, RNN, LSTM, GAN) Understanding of complete AI/ML project life cycle. Understanding of data structures, data modelling and software architecture. People Skills: Ability to communicate clearly and concisely and a flexible mindset to handle a quickly changing culture Ability to work independently and/or as part of cross-domain big team Professional and open communication to all internal and external interfaces. Accurately report to management in a timely and effective manner. Other Skills: Outstanding analytical and problem-solving skills Taking ownership of the tasks in hand and being accountable for deliverables. Education – Qualifications, Accreditation, Training: Minimum 4–7 years’ experience as a Data Scientist on AI and ML projects. Master’s in information technology / Big Data/Data Science/AI/Computer Science or related field Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Education – Qualifications, Accreditation, Training: Master’s in Information Technology / Big Data/Data Science/AI/Computer Science Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-MM-Pune, IND-TN-Chennai, IND-GJ-Vadodara, IND-AP-Hyderabad, IND-WB-Kolkata Job Digital Platforms & Data Science Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Senior Manager

DESCRIPTION Are you fascinated by the power of Natural Language Processing (NLP) and Large Language Models (LLM) to transform the way we interact with technology? Are you passionate about applying advanced machine learning techniques to solve complex challenges in the e-commerce space? If so, Amazon's International Seller Services team has an exciting opportunity for you as an Applied Scientist. At Amazon, we strive to be Earth's most customer-centric company, where customers can find and discover anything they want to buy online. Our International Seller Services team plays a pivotal role in expanding the reach of our marketplace to sellers worldwide, ensuring customers have access to a vast selection of products. As an Applied Scientist, you will join a talented and collaborative team that is dedicated to driving innovation and delivering exceptional experiences for our customers and sellers. You will be part of a global team that is focused on acquiring new merchants from around the world to sell on Amazon’s global marketplaces around the world. The position is based in India but will interact with global leaders and teams in US, Europe, Japan, China, Australia, and other regions. Join us at the Central Science Team of Amazon's International Seller Services and become part of a global team that is redefining the future of e-commerce. With access to vast amounts of data, technology, and a diverse community of talented individuals, you will have the opportunity to make a meaningful impact on the way sellers engage with our platform and customers worldwide. Together, we will drive innovation, solve complex problems, and shape the future of e-commerce. Please visit https://www.amazon.science for more information Key job responsibilities Apply your expertise in LLM models to design, develop, and implement scalable machine learning solutions that address complex language-related challenges in the international seller services domain. Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to define project requirements, establish success metrics, and deliver high-quality solutions. Conduct thorough data analysis to gain insights, identify patterns, and drive actionable recommendations that enhance seller performance and customer experiences across various international marketplaces. Continuously explore and evaluate state-of-the-art NLP techniques and methodologies to improve the accuracy and efficiency of language-related systems. Communicate complex technical concepts effectively to both technical and non-technical stakeholders, providing clear explanations and guidance on proposed solutions and their potential impact. BASIC QUALIFICATIONS PhD, or Master's degree and 4+ years of solving business problems through machine learning, data mining and statistical algorithms experience Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience programming in Java, C++, Python or related language Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects) PREFERRED QUALIFICATIONS Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF Experience in NLP, generative AI, LLM, or DL, RL. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Frontend Arts brings together the brightest minds to create breakthrough technology solutions, helping our customers gain a competitive advantage. We are focused in technology innovation to accelerate the digital transformation of our customers, end users with a modern process driven development cycle ensuring high quality and scalable solutions that is compliant, secure, high performance and reliable. Analyze, validate, and troubleshoot EDI transactions (primarily X12 format), resolving data or mapping issues. Configure, maintain, and optimize EDI tools and integrations to support smooth data exchange with internal teams and external trading partners. Collaborate with clients to understand business and technical requirements , with a focus on healthcare workflows and medical data . Monitor and troubleshoot EDI exchanges to ensure timely and accurate processing of files . Navigate Linux/Unix environments for file management, permissions handling, and executing basic shell commands/scripts. Prepare and maintain clear and well-structured integration and implementation documentation . Provide technical support for issues related to EDI, file mappings, and configurations. Assist in onboarding new clients by supporting end-to-end integration processes. Roles & Responsibilities: Solid understanding of EDI standards, segment structures, syntax rules, and validation logic . Strong ability to interpret and troubleshoot EDI messages . Proficient in Excel (formulas, pivot tables) and Word for reporting and documentation. Comfortable navigating file systems, managing permissions, and executing commands/scripts in Linux/Unix. Good knowledge of EDI workflows and file exchange troubleshooting . Excellent spoken English and professional communication skills for client interactions. Strong technical documentation and email correspondence skills. Additional Job Details: Candidate should have expertise in PL/SQL programing, reporting, writing PL/SQL procedure and packages. Understanding of queue setup, configuration, and message flow troubleshooting . Familiarity with MQ queue managers and related concepts . Experience in onboarding and supporting trading partners . Strong collaboration and issue-resolution capabilities. Immediate joiners or candidates with notice period up to 45 days/less are highly preferred Frontend Arts is an Equal Opportunity Employer with a commitment to diversity. We stand against discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status. Job Type: Full-time Education: Bachelor's (Preferred) Experience: EDI X12 (810, 850, 856): 6 years (Preferred) Invoice Integration Healthcare: 6 years (Preferred) EDI ANSI X12: 6 years (Preferred) Standards Mapping & Translation: 6 years (Preferred) SQL / SQLPlus Linux: 6 years (Preferred) Work Location: In person

Role Overview: We are hiring a dynamic and creative Content & Social Media Coordinator to support the execution of a district-wide Information, Education & Communication (IEC) campaign under a solid waste management initiative in Palakkad. The ideal candidate should have a proven track record in executing community campaigns, with expertise in content development and strategic social media outreach. Key Responsibilities: Plan, design, and implement organic and paid social media campaigns (Facebook, Instagram, YouTube) Develop visual content using tools such as Canva, Photoshop, Adobe Spark, or Figma Edit reels, short videos, and field clips using CapCut, InShot, Adobe Premiere Rush, or similar tools Write and translate content in English and Malayalam for social media, print, and digital use Support the field team by capturing photos, stories, and key moments for campaign promotion Coordinate with stakeholders, youth groups, and SHGs for social media feature stories Manage WhatsApp campaigns and digital dissemination of IEC materials Track analytics, prepare engagement reports, and suggest improvements Travel across Palakkad for content collection, campaign documentation, and media support Eligibility Criteria: Any graduate; preference for degrees in Mass Communication, Journalism, Visual Arts, or related fields Minimum 2 years of experience in content creation, social media handling, or community campaign coordination (paid or volunteer) Strong writing, speaking, and translation skills in English and Malayalam Proficiency in Canva, Adobe tools, Figma, or other design platforms Familiarity with video editing tools like CapCut, InShot, or Adobe Premiere Experience in social media analytics and report generation Ability to work independently, meet deadlines, and coordinate with multiple teams Photography or videography skills will be an added advantage Candidates from Palakkad or nearby areas are strongly preferred Desirable Skills: Digital storytelling and visual content ideation Community engagement experience Scriptwriting for short videos or reels Knowledge of local issues and regional cultural context Ability to travel and work on flexible schedules during events or campaigns How to Apply: Interested candidates may WhatsApp their CV to +91 974 522 25 51 Job Types: Full-time, Contractual / Temporary Contract length: 12-18 months Schedule: Rotational shift Weekend availability Work Location: In person Application Deadline: 10/08/2025 Expected Start Date: 10/08/2025

India LOCATION Kochi, Kerala Bangalore, Karnataka WORK LOCATION TYPE On-site DATE POSTED 2025-07-18 CATEGORY Marketing Job summary: We seek a highly motivated and experienced Digital Marketer/Digital Marketing Specialist to build & supercharge our digital marketing efforts, drive business growth, and make our customers' digital journeys amazing! You will be responsible for designing & executing innovative digital strategies to generate and nurture leads, drive engagement, and help maximize sales conversions collaborating with business teams. Key Responsibilities: Sales and Business Build & maintain company websites, develop engaging content, drive traffic, improve user engagement. Improves search engine optimization by recommending changes to website architecture, content, linking, keywords and other factors. Strategize, Develop and execute innovative digital / social media campaigns to enhance market presence and lead generation for company products and services in alignment with overall marketing goals. Conduct market research and competitor analysis to stay up to date with trends and best practices. Monitor and analyse marketing channel performance, adjusting strategies as needed to improve ROI. Create, curate, and manage content (images, video, written) across social media platforms. Track, collect, analyse and report data, identifies trends and insights and evaluates results to achieve maximum Return on Investment (ROI) for all campaigns as well as actionable insights and recommendations. Manage digital marketing agencies, budgets and partners, any third-party provider e-commerce feeds, vendor payment and initiative planning. JOB SKILLS & KNOWLEDGE REQUIRED Digital Literacy, Business Savvy, Research ability Demonstrable Content creation experience – preferably in healthcare Demonstrable experience in marketing data analytics and tools and translation into actionable insights Solid computer skills including MS Office, Adobe creative suite and CRM and applications (Web analytics, Google AdWords, Insights etc) and social media management tools (Hootsuite, Buffer etc) Familiarity with marketing automation tools (e.g., HubSpot, Zoho, Marketo, Pardot) and CRM systems Excellent communication and collaboration skills. Ability to manage multiple projects and meet deadlines in a fast-paced environment. Experience in social media management, advertising and analytics Exceptional communication skills – verbal and writing ADDITIONAL PREFERRED SKILLS/EXPERIENCE Good working knowledge/experience in photography, videography and editing. Experience working in healthcare/medtech industry Project Management Experience and detail orientation Knowledge of HTML, CSS and Web Development Tools desired. Commercial awareness partnered with a creative mind. E-commerce development experience Qualifications and Skills: Bachelor’s degree in marketing, business, or English with digital marketing certification 4-5 years of proven digital marketing, content creation and lead generation experience Thorough understanding of marketing elements including traditional and digital marketing and market research methods. No. of positions: 1

About DigitalTolk At DigitalTolk , we help thousands of people every day by breaking down language barriers. Our smart, tech-driven platform connects language professionals with customers across Sweden through a seamless matching system — it’s like Uber for interpretation and translation services. We’ve been recognized with several prestigious awards, including: Super Gazelle 2021 – Dagens Industri Future Gazelle 2021 – Dagens Industri Best in Industry 2018 – Post and Telecom Authority Young Entrepreneur of the Year 2022 Lately we have strengthened our team and expanded to Europe by winning key contracts in the UK and acquiring companies in the German speaking countries. We now have offices in Stockholm, Hamburg and St Gallen (Switzerland) and remote operations in several countries in Asia. About the Role We are seeking a highly skilled and detail-oriented Bid Manager who is fluent in both German and English to join our remote team. The ideal candidate will have a strong track record of managing German-language bids for services businesses , ideally across both private and public sector clients in DACH regions and in UK. You will play a key role in coordinating and developing winning proposals, managing the end-to-end bid process, and ensuring compliance with tender requirements in a fast-paced international environment. Responsibilities Continuously track and evaluate incoming bid opportunities in target markets Lead and manage the full bid lifecycle for non Scandinavian opportunties, including RFIs, RFPs, and tender responses Work closely with internal stakeholders (Sales, Legal, Operations, Finance) to gather required content and align on delivery strategy Translate or draft bid content in fluent German and English, ensuring linguistic accuracy and cultural relevance Analyze tender documents, evaluate bid requirements, and develop tailored responses aligned with client needs Maintain and update bid libraries and reusable content databases Track bid performance, post-submission clarifications, and support contract handover when required Ensure all bids are submitted on time, compliant, and meet both technical and commercial requirements Requirements Proven experience (3–7 years) managing German-language bids, ideally for B2B services businesses Experience working with German or DACH-based clients in either public or private sector tenders Fluency in written and spoken German and English is essential Strong writing, editing, and proofreading skills in both languages Familiarity with procurement portals and compliance processes in Germany or DACH markets Highly organized, deadline-driven, and proactive communicator Ability to work independently in a remote, multicultural team environment Bachelor's degree in business, Communications, Languages, or related field preferred Nice to Have Understanding of localization, language services, or tech-enabled service sectors Familiarity with European procurement frameworks and tendering systems (e.g., TED, DTVP, or eVergabe platforms) What We Offer Opportunity to work with a globally distributed, impact-driven team Work on high-value bids that directly influence business growth Exposure to international markets and leading-edge service solutions Flexible remote working arrangements

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. Major Accountabilities of Position : a AI/ML Architect must have Defining, designing, and delivering ML architecture patterns operable in native and hybrid cloud architectures. Collaborate with Enterprise Architecture, Info Security, DevOps and Data Intelligence team to implement ML Solutions. Defining data augmentation pipelines for unstructured data like Documents, Engineering drawings etc. Build new network architecture in CNN/LSTM/RCNN or Develop wrapper for pre-trained models. Conduct feasibility of transfer learning fitment for given problem. Research, analyze, recommend, and select technical approaches to address challenging development and data integration problems related to ML Model training and deployment in Enterprise Applications. Perform research activities to identify emerging technologies (Generative AI) and trends that may affect the Data Science/ ML life-cycle management in enterprise application portfolio. Design and deploy AI/ML models in real-world environments and integrating AI/ML using Cloud native or hybrid technologies into large-scale enterprise applications .Demonstrated experience developing best practices and recommendations around tools/technologies for ML life-cycle capabilities such as Data collection, Data preparation, Feature Engineering, Model Management, ML Ops, Model Deployment approaches and Model monitoring and tuning. Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise): Hands-on programming and architecture capabilities in Python. Demonstrated technical expertise around architecting solutions around AI, ML, deep learning and Generative AI related technologies. Experience in implementing and deploying Machine Learning solutions (using various models, such as GPT-4, Lama2, Mistral ai, text embedding ada, Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Topic Modeling, Game Theory etc. ) Understanding of Nvidia Enterprise NEMO Suite. Expertise in popular deep learning frameworks, such as TensorFlow, PyTorch, and Keras, for building, training, and deploying neural network models. Experience in AI solution development with external SaaS products like Azure OCR Experience in the AI/ML components like Azure ML studio, Jupyter Hub, TensorFlow & Sci-Kit Learn Hands-on knowledge of API frameworks. Familiarity with the transformer architecture and its applications in natural language processing (NLP), such as machine translation, text summarization, and question-answering systems. 10. Expertise in designing and implementing CNNs for computer vision tasks, such as image classification, object detection, and semantic segmentation. Hands on experience in RDBMS, NoSQL, big data stores like: Elastic, Cassandra. Experience with open source software Experience using the cognitive APIs machine learning studios on cloud. Hands-on knowledge of image processing with deep learning ( CNN,RNN,LSTM,GAN) Familiarity with GPU computing and tools like CUDA and cu DNN to accelerate deep learning computations and reduce training times. Understanding of complete AI/ML project life cycle Understanding of data structures, data modelling and software architecture Good understanding of containerization and experience working with Docker, AKS. People Skills Clear and concise communication is vital for explaining complex machine learning concepts to non-technical stakeholders, presenting results, and collaborating with cross-functional teams. Ability to work independently and as part of a team. Being open to new ideas, embracing change, and adapting to evolving technologies and methodologies are crucial for staying relevant and effective in the rapidly changing field of machine learning. Cooperative mindset, flexibility, and the ability to work effectively in a team. Professional and open communication to all internal and external interfaces. Balancing multiple projects, prioritizing tasks, and meeting deadlines while maintaining a high standard of work requires effective time management and organizational skills. Accurately report to management in a timely and effective manner. Other Skills Outstanding analytical and problem-solving skills Education – Qualifications, Accreditation, Training Master’s in Information Technology / Big Data/Data Science/AI/Computer Science Minimum 4- Maximum 7 year experience as AI/ML Architect on AI and ML projects. Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-WB-Kolkata, IND-MM-Mumbai, IND-MM-Pune, IND-TN-Chennai Job Digital Solutions Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 3, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Head of Data Intelligence Duration of Contract 0

DESCRIPTION Translation Services seeks a passionate Software Development Engineer to drive innovations in translation to reach every Amazon customer in their own language. Key job responsibilities Are you passionate about creating high-performance, large-scale language translation services to support Amazon's current and future growth? Do you thrive in environments where you can lead innovation? If so, we're seeking a software engineer to join the Translation Services (TS) team. TS provides technology solutions and services that deliver quality translations at the lowest possible cost for Amazon businesses. As a Software Development Engineer, you'll help drive efforts to build translations solutions at Amazon scale with 100% translations coverage, eventually making translations a no-op for developers so that they can focus on business logic and application building. We're seeking a self-starting individual comfortable with ambiguity, possessing strong attention to detail, and dedicated to ensuring that secondary language experiences match the excellence of primary language experiences, even at Amazon's vast scale. About the team We are a globally distributed engineering organization with teams in Seattle, WA and Hyderabad, India. Our collaborative culture and low operational overhead create a startup-like environment that encourages innovation. Our vision: Language will not stand in the way of anyone on earth using Amazon products and services. Our mission: We are the enablers and guardians of translation for Amazon's customers. We do this by offering hands-off-the-wheel service to all Amazon teams, optimizing translation quality and speed at the lowest cost possible. BASIC QUALIFICATIONS 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience programming with at least one software programming language PREFERRED QUALIFICATIONS 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.