1965 Preprocessing Jobs - Page 21

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. PwC US - Acceleration Center is seeking a highly skilled and experienced GenAI Data Scientist to join our team at Senior Associate level. As a GenAI Data Scientist, you will play a critical role in developing and implementing machine learning models and algorithms for our GenAI projects. The ideal candidate should have a strong background in data science, with a focus on GenAI technologies, and possess a solid understanding of statistical analysis, machine learning, data visualization, and application programming. Years of Experience: Candidates with 4+ years of hands on experience Responsibilities Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies. Develop and implement machine learning models and algorithms for GenAI projects. Perform data cleaning, preprocessing, and feature engineering to prepare data for analysis. Collaborate with data engineers to ensure efficient data processing and integration into machine learning pipelines. Validate and evaluate model performance using appropriate metrics and techniques. Develop and deploy production-ready machine learning applications and solutions. Utilize object-oriented programming skills to build robust and scalable software components. Utilize Kubernetes for container orchestration and deployment. Design and build chatbots using GenAI technologies. Communicate findings and insights to stakeholders through data visualizations, reports, and presentations. Stay up-to-date with the latest advancements in GenAI technologies and recommend innovative solutions to enhance data science processes. Requirements 3-5 years of relevant technical/technology experience, with a focus on GenAI projects. Strong programming skills in languages such as Python, R, or Scala. Proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn. Experience with data preprocessing, feature engineering, and data wrangling techniques. Solid understanding of statistical analysis, hypothesis testing, and experimental design. Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud. Knowledge of data visualization tools and techniques. Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Ability to work in a fast-paced and dynamic environment. Preferred Qualifications Experience with object-oriented programming languages such as Java, C++, or C#. Experience with developing and deploying machine learning applications in production environments. Understanding of data privacy and compliance regulations. Relevant certifications in data science or GenAI technologies. Nice To Have Skills Experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock. Familiarity with LLM backed agent frameworks such as Autogen, Langchain, Semantic Kernel, etc. Experience in chatbot design and development. Professional And Educational Background Any graduate /BE / B.Tech / MCA / M.Sc / M.E / M.Tech /Master’s Degree /MBA

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. PwC US - Acceleration Center is seeking a highly skilled and experienced GenAI Data Scientist to join our team at Senior Associate level. As a GenAI Data Scientist, you will play a critical role in developing and implementing machine learning models and algorithms for our GenAI projects. The ideal candidate should have a strong background in data science, with a focus on GenAI technologies, and possess a solid understanding of statistical analysis, machine learning, data visualization, and application programming. Years of Experience: Candidates with 4+ years of hands on experience Responsibilities Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies. Develop and implement machine learning models and algorithms for GenAI projects. Perform data cleaning, preprocessing, and feature engineering to prepare data for analysis. Collaborate with data engineers to ensure efficient data processing and integration into machine learning pipelines. Validate and evaluate model performance using appropriate metrics and techniques. Develop and deploy production-ready machine learning applications and solutions. Utilize object-oriented programming skills to build robust and scalable software components. Utilize Kubernetes for container orchestration and deployment. Design and build chatbots using GenAI technologies. Communicate findings and insights to stakeholders through data visualizations, reports, and presentations. Stay up-to-date with the latest advancements in GenAI technologies and recommend innovative solutions to enhance data science processes. Requirements 3-5 years of relevant technical/technology experience, with a focus on GenAI projects. Strong programming skills in languages such as Python, R, or Scala. Proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn. Experience with data preprocessing, feature engineering, and data wrangling techniques. Solid understanding of statistical analysis, hypothesis testing, and experimental design. Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud. Knowledge of data visualization tools and techniques. Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Ability to work in a fast-paced and dynamic environment. Preferred Qualifications Experience with object-oriented programming languages such as Java, C++, or C#. Experience with developing and deploying machine learning applications in production environments. Understanding of data privacy and compliance regulations. Relevant certifications in data science or GenAI technologies. Nice To Have Skills Experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock. Familiarity with LLM backed agent frameworks such as Autogen, Langchain, Semantic Kernel, etc. Experience in chatbot design and development. Professional And Educational Background Any graduate /BE / B.Tech / MCA / M.Sc / M.E / M.Tech /Master’s Degree /MBA

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Years of Experience: Candidates with 4+ years of hands on experience PwC US - Acceleration Center is seeking a highly skilled and experienced GenAI Data Scientist to join our team at Senior Associate level. As a GenAI Data Scientist, you will play a critical role in developing and implementing machine learning models and algorithms for our GenAI projects. The ideal candidate should have a strong background in data science, with a focus on GenAI technologies, and possess a solid understanding of statistical analysis, machine learning, data visualization, and application programming. Responsibilities Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies. Develop and implement machine learning models and algorithms for GenAI projects. Perform data cleaning, preprocessing, and feature engineering to prepare data for analysis. Collaborate with data engineers to ensure efficient data processing and integration into machine learning pipelines. Validate and evaluate model performance using appropriate metrics and techniques. Develop and deploy production-ready machine learning applications and solutions. Utilize object-oriented programming skills to build robust and scalable software components. Utilize Kubernetes for container orchestration and deployment. Design and build chatbots using GenAI technologies. Communicate findings and insights to stakeholders through data visualizations, reports, and presentations. Stay up-to-date with the latest advancements in GenAI technologies and recommend innovative solutions to enhance data science processes. Requirements Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. 3-5 years of relevant technical/technology experience, with a focus on GenAI projects. Strong programming skills in languages such as Python, R, or Scala. Proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn. Experience with data preprocessing, feature engineering, and data wrangling techniques. Solid understanding of statistical analysis, hypothesis testing, and experimental design. Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud. Knowledge of data visualization tools and techniques. Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Ability to work in a fast-paced and dynamic environment. Preferred Qualifications Experience with object-oriented programming languages such as Java, C++, or C#. Experience with developing and deploying machine learning applications in production environments. Understanding of data privacy and compliance regulations. Relevant certifications in data science or GenAI technologies. Nice To Have Skills Experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock. Familiarity with LLM backed agent frameworks such as Autogen, Langchain, Semantic Kernel, etc. Experience in chatbot design and development. Professional And Educational Background BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Azure Cloud and Python Developer for ML - Senior 1/2 EY GDS Consulting digital engineering, is seeking an experienced Azure Cloud and Python Developer for ML to join our Emerging Technologies team in DET, GDS. This role presents an exciting opportunity to contribute to innovative projects and be a key player in shaping our technological advancements. The opportunity We are seeking an experienced Azure Cloud and Python Developer with 6-8 years of hands-on experience in machine learning (ML) development. This role involves developing and deploying ML models on the Azure cloud platform, designing efficient data pipelines, and collaborating with data scientists and stakeholders to deliver technical solutions. Your Key Responsibilities Develop and deploy machine learning models on Azure cloud platform using Python programming language, ensuring scalability and efficiency. Design and implement scalable and efficient data pipelines for model training and inference, optimizing data processing workflows. Collaborate closely with data scientists and business stakeholders to understand requirements, translate them into technical solutions, and deliver high-quality ML solutions. Implement best practices for ML development, including version control using tools like Git, testing methodologies, and documentation to ensure reproducibility and maintainability. Design and optimize ML algorithms and data structures for performance and accuracy, leveraging Azure cloud services and Python libraries such as TensorFlow, PyTorch, or scikit-learn. Monitor and evaluate model performance, conduct experiments, and iterate on models to improve predictive accuracy and business outcomes. Work on feature engineering, data preprocessing, and feature selection techniques to enhance model performance and interpretability. Collaborate with DevOps teams to deploy ML models into production environments, ensuring seamless integration and continuous monitoring. Stay updated with the latest advancements in ML, Azure cloud services, and Python programming, and apply them to enhance ML capabilities and efficiency. Provide technical guidance and mentorship to junior developers and data scientists, fostering a culture of continuous learning and innovation. Skills And Attributes Soft Skills Bachelor's or master's degree in computer science, data science, or related field, with a strong foundation in ML algorithms, statistics, and programming concepts. Minimum 6-8 years of hands-on experience in developing and deploying ML models on Azure cloud platform using Python programming language. Expertise in designing and implementing scalable data pipelines for ML model training and inference, utilizing Azure Data Factory, Azure Databricks, or similar tools. Proficiency in Python programming language, including libraries such as TensorFlow, PyTorch, scikit-learn, pandas, and NumPy for ML model development and data manipulation. Strong understanding of ML model evaluation metrics, feature engineering techniques, and data preprocessing methods for structured and unstructured data. Experience with cloud-native technologies and services, including Azure Machine Learning, Azure Kubernetes Service (AKS), Azure Functions, and Azure Storage. Familiarity with DevOps practices, CI/CD pipelines, and containerization tools like Docker for ML model deployment and automation. Excellent problem-solving skills, analytical thinking, and attention to detail, with the ability to troubleshoot and debug complex ML algorithms and systems. Effective communication skills, both verbal and written, with the ability to explain technical concepts to non-technical stakeholders and collaborate in cross-functional teams. Proactive and self-motivated attitude, with a passion for learning new technologies and staying updated with industry trends in ML, cloud computing, and software development. Strong organizational skills and the ability to manage multiple projects, prioritize tasks, and deliver results within project timelines and specifications. Business acumen and understanding of the impact of ML solutions on business operations and decision-making processes, with a focus on delivering value and driving business outcomes. Collaboration and teamwork skills, with the ability to work effectively in a global, diverse, and distributed team environment, fostering a culture of innovation and continuous improvement.. To qualify for the role, you must have A bachelor's or master's degree in computer science, data science, or related field, along with a minimum of 6-8 years of experience in ML development and Azure cloud platform expertise. Strong communication skills and consulting experience are highly desirable for this position. Ideally, you’ll also have Analytical ability to manage complex ML projects and prioritize tasks efficiently. Experience operating independently or with minimal supervision, demonstrating strong problem-solving skills. Familiarity with other cloud platforms and technologies such as AWS, Google Cloud Platform (GCP), or Kubernetes is a plus. What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Azure Cloud and Python Developer for ML - Senior 1/2 EY GDS Consulting digital engineering, is seeking an experienced Azure Cloud and Python Developer for ML to join our Emerging Technologies team in DET, GDS. This role presents an exciting opportunity to contribute to innovative projects and be a key player in shaping our technological advancements. The opportunity We are seeking an experienced Azure Cloud and Python Developer with 6-8 years of hands-on experience in machine learning (ML) development. This role involves developing and deploying ML models on the Azure cloud platform, designing efficient data pipelines, and collaborating with data scientists and stakeholders to deliver technical solutions. Your Key Responsibilities Develop and deploy machine learning models on Azure cloud platform using Python programming language, ensuring scalability and efficiency. Design and implement scalable and efficient data pipelines for model training and inference, optimizing data processing workflows. Collaborate closely with data scientists and business stakeholders to understand requirements, translate them into technical solutions, and deliver high-quality ML solutions. Implement best practices for ML development, including version control using tools like Git, testing methodologies, and documentation to ensure reproducibility and maintainability. Design and optimize ML algorithms and data structures for performance and accuracy, leveraging Azure cloud services and Python libraries such as TensorFlow, PyTorch, or scikit-learn. Monitor and evaluate model performance, conduct experiments, and iterate on models to improve predictive accuracy and business outcomes. Work on feature engineering, data preprocessing, and feature selection techniques to enhance model performance and interpretability. Collaborate with DevOps teams to deploy ML models into production environments, ensuring seamless integration and continuous monitoring. Stay updated with the latest advancements in ML, Azure cloud services, and Python programming, and apply them to enhance ML capabilities and efficiency. Provide technical guidance and mentorship to junior developers and data scientists, fostering a culture of continuous learning and innovation. Skills And Attributes Soft Skills Bachelor's or master's degree in computer science, data science, or related field, with a strong foundation in ML algorithms, statistics, and programming concepts. Minimum 6-8 years of hands-on experience in developing and deploying ML models on Azure cloud platform using Python programming language. Expertise in designing and implementing scalable data pipelines for ML model training and inference, utilizing Azure Data Factory, Azure Databricks, or similar tools. Proficiency in Python programming language, including libraries such as TensorFlow, PyTorch, scikit-learn, pandas, and NumPy for ML model development and data manipulation. Strong understanding of ML model evaluation metrics, feature engineering techniques, and data preprocessing methods for structured and unstructured data. Experience with cloud-native technologies and services, including Azure Machine Learning, Azure Kubernetes Service (AKS), Azure Functions, and Azure Storage. Familiarity with DevOps practices, CI/CD pipelines, and containerization tools like Docker for ML model deployment and automation. Excellent problem-solving skills, analytical thinking, and attention to detail, with the ability to troubleshoot and debug complex ML algorithms and systems. Effective communication skills, both verbal and written, with the ability to explain technical concepts to non-technical stakeholders and collaborate in cross-functional teams. Proactive and self-motivated attitude, with a passion for learning new technologies and staying updated with industry trends in ML, cloud computing, and software development. Strong organizational skills and the ability to manage multiple projects, prioritize tasks, and deliver results within project timelines and specifications. Business acumen and understanding of the impact of ML solutions on business operations and decision-making processes, with a focus on delivering value and driving business outcomes. Collaboration and teamwork skills, with the ability to work effectively in a global, diverse, and distributed team environment, fostering a culture of innovation and continuous improvement.. To qualify for the role, you must have A bachelor's or master's degree in computer science, data science, or related field, along with a minimum of 6-8 years of experience in ML development and Azure cloud platform expertise. Strong communication skills and consulting experience are highly desirable for this position. Ideally, you’ll also have Analytical ability to manage complex ML projects and prioritize tasks efficiently. Experience operating independently or with minimal supervision, demonstrating strong problem-solving skills. Familiarity with other cloud platforms and technologies such as AWS, Google Cloud Platform (GCP), or Kubernetes is a plus. What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Company Description I Vision Infotech is a full-fledged IT company delivering high-quality, cost-effective, and reliable web and e-commerce solutions. Founded in 2011 and based in India, the company serves both domestic and international clients from countries including the USA, Malaysia, Australia, Canada, and the United Kingdom. We specialize in web design, development, e-commerce, and mobile app services across various platforms such as Android, iOS, Windows, and Blackberry. Role Description This is a full-time role for an AI/ML Developer, based on-site in Ahmedabad. The AI/ML Developer will work on designing and implementing machine learning models and algorithms. Day-to-day tasks include developing software applications, conducting research on pattern recognition and neural networks, and performing tasks related to Natural Language Processing (NLP). The developer will collaborate closely with other team members to ensure the successful deployment and integration of AI/ML solutions. Key Responsibilities Develop and deploy machine learning models to solve real-world problems. Work on data preprocessing, feature engineering, and model optimization. Collaborate with cross-functional teams (UI/UX, Backend) to integrate AI/ML solutions. Conduct experiments and performance tuning of ML models. Stay updated with the latest research and development in AI/ML. Required Skills & Experience Proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn). Strong knowledge of Supervised and Unsupervised Learning algorithms. Experience with data visualization and tools like Pandas, NumPy, Matplotlib. Experience in NLP, Computer Vision, or Recommendation Systems is a plus. Familiarity with Jupyter, Google Colab, or similar platforms. Understanding of model deployment and REST API integration is an advantage. Qualifications Bachelor’s or Master’s in Computer Science, IT, Data Science, or related field. Minimum 2 years of relevant AI/ML development experience. Strong problem-solving and analytical thinking. Good communication and team collaboration skills. Perks Fixed working hours Friendly team & work culture Exposure to real projects Growth in AI/ML domain Note: This is an urgent requirement. Only serious and immediate joiners apply and local candidates will be considered for this role. Skills:- Python

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Azure Cloud and Python Developer for ML - Senior 1/2 EY GDS Consulting digital engineering, is seeking an experienced Azure Cloud and Python Developer for ML to join our Emerging Technologies team in DET, GDS. This role presents an exciting opportunity to contribute to innovative projects and be a key player in shaping our technological advancements. The opportunity We are seeking an experienced Azure Cloud and Python Developer with 6-8 years of hands-on experience in machine learning (ML) development. This role involves developing and deploying ML models on the Azure cloud platform, designing efficient data pipelines, and collaborating with data scientists and stakeholders to deliver technical solutions. Your Key Responsibilities Develop and deploy machine learning models on Azure cloud platform using Python programming language, ensuring scalability and efficiency. Design and implement scalable and efficient data pipelines for model training and inference, optimizing data processing workflows. Collaborate closely with data scientists and business stakeholders to understand requirements, translate them into technical solutions, and deliver high-quality ML solutions. Implement best practices for ML development, including version control using tools like Git, testing methodologies, and documentation to ensure reproducibility and maintainability. Design and optimize ML algorithms and data structures for performance and accuracy, leveraging Azure cloud services and Python libraries such as TensorFlow, PyTorch, or scikit-learn. Monitor and evaluate model performance, conduct experiments, and iterate on models to improve predictive accuracy and business outcomes. Work on feature engineering, data preprocessing, and feature selection techniques to enhance model performance and interpretability. Collaborate with DevOps teams to deploy ML models into production environments, ensuring seamless integration and continuous monitoring. Stay updated with the latest advancements in ML, Azure cloud services, and Python programming, and apply them to enhance ML capabilities and efficiency. Provide technical guidance and mentorship to junior developers and data scientists, fostering a culture of continuous learning and innovation. Skills And Attributes Soft Skills Bachelor's or master's degree in computer science, data science, or related field, with a strong foundation in ML algorithms, statistics, and programming concepts. Minimum 6-8 years of hands-on experience in developing and deploying ML models on Azure cloud platform using Python programming language. Expertise in designing and implementing scalable data pipelines for ML model training and inference, utilizing Azure Data Factory, Azure Databricks, or similar tools. Proficiency in Python programming language, including libraries such as TensorFlow, PyTorch, scikit-learn, pandas, and NumPy for ML model development and data manipulation. Strong understanding of ML model evaluation metrics, feature engineering techniques, and data preprocessing methods for structured and unstructured data. Experience with cloud-native technologies and services, including Azure Machine Learning, Azure Kubernetes Service (AKS), Azure Functions, and Azure Storage. Familiarity with DevOps practices, CI/CD pipelines, and containerization tools like Docker for ML model deployment and automation. Excellent problem-solving skills, analytical thinking, and attention to detail, with the ability to troubleshoot and debug complex ML algorithms and systems. Effective communication skills, both verbal and written, with the ability to explain technical concepts to non-technical stakeholders and collaborate in cross-functional teams. Proactive and self-motivated attitude, with a passion for learning new technologies and staying updated with industry trends in ML, cloud computing, and software development. Strong organizational skills and the ability to manage multiple projects, prioritize tasks, and deliver results within project timelines and specifications. Business acumen and understanding of the impact of ML solutions on business operations and decision-making processes, with a focus on delivering value and driving business outcomes. Collaboration and teamwork skills, with the ability to work effectively in a global, diverse, and distributed team environment, fostering a culture of innovation and continuous improvement.. To qualify for the role, you must have A bachelor's or master's degree in computer science, data science, or related field, along with a minimum of 6-8 years of experience in ML development and Azure cloud platform expertise. Strong communication skills and consulting experience are highly desirable for this position. Ideally, you’ll also have Analytical ability to manage complex ML projects and prioritize tasks efficiently. Experience operating independently or with minimal supervision, demonstrating strong problem-solving skills. Familiarity with other cloud platforms and technologies such as AWS, Google Cloud Platform (GCP), or Kubernetes is a plus. What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

AI-First. Future-Driven. Human-Centered. At OpenText, AI is at the heart of everything we do—powering innovation, transforming work, and empowering digital knowledge workers. We're hiring talent that AI can't replace to help us shape the future of information management. Join us. Opentext OpenText is a global leader in information management, where innovation, creativity, and collaboration are the key components of our corporate culture. As a member of our team, you will have the opportunity to partner with the most highly regarded companies in the world, tackle complex issues, and contribute to projects that shape the future of digital transformation. Your Impact: Opentext is seeking a highly motivated and experienced Senior Software Engineer with a strong background in Java and a passion for leveraging Python-based Machine Learning (ML), Deep Learning (DL), and Artificial Intelligence (AI) technologies. You will be a key member of our engineering team, responsible for designing, developing, and deploying scalable and robust software solutions that integrate intelligent features. You will contribute to the full software development lifecycle, from requirements gathering to deployment and maintenance. What The Role Offers: Design, develop, and implement high-performance and scalable software applications. Develop and integrate Machine Learning, Deep Learning, and AI models using Python and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn). Contribute to the architecture and design of intelligent systems, ensuring scalability, reliability, and maintainability. Work closely with data scientists and other engineers to understand data requirements and integrate ML/DL models into production systems. Write clean, well-documented, and testable code following best practices and coding standards. Participate in code reviews to ensure code quality and knowledge sharing. Troubleshoot and debug complex software issues across different layers of the application. Optimize application performance and identify bottlenecks. Stay up-to-date with the latest advancements in Python, ML, DL, and AI technologies. Contribute to the continuous improvement of our development processes and tools. Provide technical guidance and mentorship to junior engineers. Participate in agile development methodologies, including sprint planning, daily stand-ups, and retrospectives. Collaborate effectively with cross-functional teams, including product managers, designers, and QA engineers. What You Need To Succeed Bachelor's or Master's degree in Computer Science or a related field. Minimum of 7+ years of professional software development experience. Proven experience in developing and implementing Machine Learning, Deep Learning, and/or AI solutions using Python. Hands-on experience with relevant Python libraries such as TensorFlow, PyTorch, scikit-learn, NumPy, Pandas. Understanding of various ML/DL algorithms and techniques (e.g., classification, regression, clustering, neural networks, natural language processing, computer vision). Experience with data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their ML/AI services is a plus. Strong understanding of software development lifecycle and agile methodologies. Excellent problem-solving, analytical, and debugging skills. Passion for learning and applying new technologies. OpenText's efforts to build an inclusive work environment go beyond simply complying with applicable laws. Our Employment Equity and Diversity Policy provides direction on maintaining a working environment that is inclusive of everyone, regardless of culture, national origin, race, color, gender, gender identification, sexual orientation, family status, age, veteran status, disability, religion, or other basis protected by applicable laws. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please submit a ticket atAsk HR. Our proactive approach fosters collaboration, innovation, and personal growth, enriching OpenText's vibrant workplace.

Key Responsibilities: Identify, define, and deliver AI/ML and GenAI use cases in collaboration with business and technical stakeholders Design, develop, and deploy models using Google Cloud’s Vertex AI platform Fine-tune and evaluate Large Language Models (LLMs) for domain-specific applications Ensure responsible AI practices and governance in solution delivery Collaborate with data engineers and architects to ensure robust and scalable pipelines Document workflows and experiments for reproducibility and handover readiness Apply strong knowledge in supervised, unsupervised, and reinforcement learning Utilize Vertex AI features including AutoML, Pipelines, Model Registry, and Generative AI Studio Work on GenAI workflows: prompt engineering, fine-tuning, and model evaluation Develop in Python using ML frameworks like TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers Communicate and collaborate across product, data, and business teams Required Skills: Hands-on experience with Vertex AI on GCP – model training, deployment, endpoint management, MLOps Practical knowledge of PaLM, Gemini, or other LLMs via Vertex AI or open-source Proficiency in Python for ML pipeline scripting, data preprocessing, and evaluation Expertise in ML/GenAI libraries: scikit-learn, TensorFlow, PyTorch, Hugging Face, LangChain Exposure to CI/CD for ML, containerization using Docker/Kubernetes Familiarity with GCP services like BigQuery, Cloud Functions, Cloud Storage Experience with media datasets and real-world ML applications in OTT, DTH, Web platforms Qualifications Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related fields 3+ years of hands-on experience in ML/AI or GenAI projects Any relevant certifications in ML, GCP, or GenAI technologies are a plus

The Applications Development Intermediate Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities. Responsibilities: Utilize knowledge of applications development procedures and concepts, and basic knowledge of other technical areas to identify and define necessary system enhancements, including using script tools and analyzing/interpreting code Consult with users, clients, and other technology groups on issues, and recommend programming solutions, install, and support customer exposure systems Apply fundamental knowledge of programming languages for design specifications. Analyze applications to identify vulnerabilities and security issues, as well as conduct testing and debugging Serve as advisor or coach to new or lower level analysts Identify problems, analyze information, and make evaluative judgements to recommend and implement solutions Resolve issues by identifying and selecting solutions through the applications of acquired technical experience and guided by precedents Has the ability to operate with a limited level of direct supervision. Can exercise independence of judgement and autonomy. Acts as SME to senior stakeholders and /or other team members. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Key Responsibilities: Design and implement ETL pipelines using PySpark and Big Data tools on platforms like Hadoop, Hive, HDFS etc.Write scalable Python code for Machine Learning preprocessing tasks and work with libraries such as pandas, Scikit-learn etc.Develop data pipelines to support model training, evaluation and inference. Skills: Proficiency in Python programming with experience in PySpark for large-scale data processing.Hands-on experience in Big Data technologies: Hadoop, Hive HDFS etc.Exposure to machine learning workflows, model lifecycle and data preparation.Experience with ML libraries: Scikit-learn, XGBoost, Tensorflow, PyTorch etc.Exposure to cloud platforms (AWS/GCP) for data and AI workloads. Qualifications: 4-8 years of relevant experience in the Financial Service industry Intermediate level experience in Applications Development role Consistently demonstrates clear and concise written and verbal communication Demonstrated problem-solving and decision-making skills Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements Education: Bachelor’s degree/University degree or equivalent experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. - Job Family Group: Technology - Job Family: Applications Development - Time Type: Full time - Most Relevant Skills Please see the requirements listed above. - Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. - Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Designing and Developing AI Models: AI developers select and configure methods for AI systems to handle data and learn from it. Writing Code: They write the instructions that enable AI to function, often using programming languages like Python or Java. Training Models: They use large datasets to "train" the AI, enabling it to handle various situations effectively. Testing and Improving AI: They evaluate the AI's performance and make improvements to enhance its accuracy and efficiency. Integrating AI into Applications: They incorporate AI into new or existing business software. Staying Up-to-Date: AI developers need to stay current with the latest AI research and technologies. Data Handling: They are responsible for acquiring, cleaning, and preprocessing data, as well as analyzing datasets to identify patterns and extract insights. Problem-Solving: They use their analytical and problem-solving skills to identify the most appropriate AI models and algorithms for specific tasks. Deployment and Maintenance: AI developers deploy trained models into production environments and integrate them into applications or systems. Collaboration: They work closely with stakeholders to understand business challenges and identify opportunities for AI solutions. Job Types: Full-time, Permanent Pay: From ₹25,000.00 per month Benefits: Paid time off Schedule: Monday to Friday Rotational shift US shift Supplemental Pay: Shift allowance Work Location: In person

Position :AI / ML Intern JOB ROLE : What You’ll Do: Work on machine learning and AI models for real-world use cases (NLP, classification, recommendations, etc.). Assist in data collection, preprocessing, model training, and evaluation. Collaborate on APIs and model deployment using tools like Flask or FastAPI. Experiment with frameworks such as scikit-learn, TensorFlow, or PyTorch. Conduct exploratory data analysis and participate in feature engineering. Stay up-to-date with the latest in AI/ML research and tools. What We’re Looking For: Good knowledge of Python and basic ML libraries (NumPy, pandas, scikit-learn). Understanding of core ML concepts like supervised/unsupervised learning, overfitting, etc. Enthusiasm for AI/ML problem-solving and learning on the job. Bonus: Experience with TensorFlow, PyTorch, NLP, or side projects. What You’ll Gain: Hands-on experience building AI solutions for production use. Mentorship from experienced engineers and startup founders. Real exposure to startup pace, decision-making, and ownership. Certificate, Letter of Recommendation, and potential PPO (Pre-Placement Offer). Job Types: Full-time, Fresher, Internship Contract length: 6 months Pay: ₹5,000.00 - ₹8,000.00 per month Work Location: In person

At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. Those in software engineering at PwC will focus on developing innovative software solutions to drive digital transformation and enhance business performance. In this field, you will use your knowledge to design, code, and test cutting-edge applications that revolutionise industries and deliver exceptional user experiences. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Job Level : Senior Associates Line of Service : Business services support At PwC, our people in the AI, Technology and Innovation team are part of a Global team with our team members sitting across our Acceleration Center (AC) locations including India. This team is focused on leveraging advanced technologies and techniques to design and develop robust data solutions for the Acceleration centre . They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth by creating products and platforms that re-imagine the way we drive our clients to the Leading edge. Scope Of Responsibility Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies. Design, develop, and maintain software solutions for GenAI projects. Implement event-driven architectures to enable real-time data processing and analysis. Utilize containerization technologies for efficient deployment and scalability. Develop and maintain data lakes for storing and managing large volumes of structured and unstructured data. Utilize Python as the primary programming language for software development. Stay up-to-date with the latest advancements in GenAI technologies and recommend innovative solutions to enhance software engineering processes. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Document software engineering processes, methodologies, and best practices. Maintain solution architecture certificates and stay current with industry best practices. Strategic & Technical Orientation / Job Content Proficiency in Python and software engineering best practices for AI systems is a must 3+ years of hands-on experience developing and deploying AI models in production environments with 1 year of experience in developing generative AI pilots, proofs of concept, and prototypes 1+ years experience in designing, developing, and implementing generative AI models and algorithms utilizing state-of-the-art techniques such as GPT Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services. Optimizing existing generative AI models for improved performance, scalability, and efficiency. Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation. Range Of Impact Deep understanding of state-of-the-art AI architectures Proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras. Have strong knowledge of data structures, algorithms, and software engineering principles. Have strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. Possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Familiar with cloud-based platforms and services, such as Azure or AWS

At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions. Those in software engineering at PwC will focus on developing innovative software solutions to drive digital transformation and enhance business performance. In this field, you will use your knowledge to design, code, and test cutting-edge applications that revolutionise industries and deliver exceptional user experiences. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Job Level : Senior Associates Line of Service : Business services support At PwC, our people in the AI, Technology and Innovation team are part of a Global team with our team members sitting across our Acceleration Center (AC) locations including India. This team is focused on leveraging advanced technologies and techniques to design and develop robust data solutions for the Acceleration centre . They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth by creating products and platforms that re-imagine the way we drive our clients to the Leading edge. Scope Of Responsibility Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies. Design, develop, and maintain software solutions for GenAI projects. Implement event-driven architectures to enable real-time data processing and analysis. Utilize containerization technologies for efficient deployment and scalability. Develop and maintain data lakes for storing and managing large volumes of structured and unstructured data. Utilize Python as the primary programming language for software development. Stay up-to-date with the latest advancements in GenAI technologies and recommend innovative solutions to enhance software engineering processes. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Document software engineering processes, methodologies, and best practices. Maintain solution architecture certificates and stay current with industry best practices. Strategic & Technical Orientation / Job Content Proficiency in Python and software engineering best practices for AI systems is a must 3+ years of hands-on experience developing and deploying AI models in production environments with 1 year of experience in developing generative AI pilots, proofs of concept, and prototypes 1+ years experience in designing, developing, and implementing generative AI models and algorithms utilizing state-of-the-art techniques such as GPT Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services. Optimizing existing generative AI models for improved performance, scalability, and efficiency. Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation. Range Of Impact Deep understanding of state-of-the-art AI architectures Proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras. Have strong knowledge of data structures, algorithms, and software engineering principles. Have strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. Possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Familiar with cloud-based platforms and services, such as Azure or AWS

Job Title : AI/ML Engineer Experience : 5- 8 Years Location : Hybrid Pune / Bangalore / Hyderabad (12 days/week onsite) About The Role We are looking for an experienced AI/ML Engineer to join our growing team. This role demands a strong foundation in Generative AI, LLMs, and RAG pipelines, coupled with robust software engineering and backend development skills. You will be responsible for building scalable AI solutions, contributing to system architecture, and driving end-to-end project ownership from design to deployment. Key Responsibilities Design, develop, and deploy Generative AI applications using LLMs, LangChain, LangGraph, and RAG pipelines. Build scalable backend services and APIs using FastAPI in a microservices architecture. Collaborate with cross-functional teams to translate business requirements into robust AI/ML solutions. Own end-to-end technical delivery of AI projects, including architectural decisions, implementation, and deployment. Apply strong ML/NLP fundamentals to build and fine-tune models that solve real-world problems. Write clean, modular, and scalable Python code with a strong focus on performance and reliability. Mentor junior engineers and contribute to engineering best practices. Required Skills & Qualifications 5- 8 years of experience in AI/ML engineering or software development with a focus on machine learning and backend systems. Strong hands-on experience with Generative AI technologies: LLMs, LangChain, LangGraph, and RAG. Proficiency in FastAPI and building production-ready microservices. Deep understanding of ML/NLP concepts, data preprocessing, and model deployment. Excellent Python programming skills and a solid grasp of algorithmic problem-solving. Proven ability to take technical ownership and clearly explain project architecture and components. Experience with version control (Git), CI/CD pipelines, and cloud-based development (AWS/GCP/Azure) is a plus. Preferred Qualifications Prior experience deploying AI/ML solutions in enterprise environments. Familiarity with vector databases, embeddings, and model monitoring tools. Exposure to MLOps tools and frameworks (e.g., MLflow, Weights & Biases). (ref:hirist.tech)

The Applications Development Intermediate Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities. Responsibilities: Utilize knowledge of applications development procedures and concepts, and basic knowledge of other technical areas to identify and define necessary system enhancements, including using script tools and analyzing/interpreting code Consult with users, clients, and other technology groups on issues, and recommend programming solutions, install, and support customer exposure systems Apply fundamental knowledge of programming languages for design specifications. Analyze applications to identify vulnerabilities and security issues, as well as conduct testing and debugging Serve as advisor or coach to new or lower level analysts Identify problems, analyze information, and make evaluative judgements to recommend and implement solutions Resolve issues by identifying and selecting solutions through the applications of acquired technical experience and guided by precedents Has the ability to operate with a limited level of direct supervision. Can exercise independence of judgement and autonomy. Acts as SME to senior stakeholders and /or other team members. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Key Responsibilities: Design and implement ETL pipelines using PySpark and Big Data tools on platforms like Hadoop, Hive, HDFS etc. Write scalable Python code for Machine Learning preprocessing tasks and work with libraries such as pandas, Scikit-learn etc. Develop data pipelines to support model training, evaluation and inference. Skills: Proficiency in Python programming with experience in PySpark for large-scale data processing. Hands-on experience in Big Data technologies: Hadoop, Hive HDFS etc. Exposure to machine learning workflows, model lifecycle and data preparation. Experience with ML libraries: Scikit-learn, XGBoost, Tensorflow, PyTorch etc. Exposure to cloud platforms (AWS/GCP) for data and AI workloads. Qualifications: 4-8 years of relevant experience in the Financial Service industry Intermediate level experience in Applications Development role Consistently demonstrates clear and concise written and verbal communication Demonstrated problem-solving and decision-making skills Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements Education: Bachelor’s degree/University degree or equivalent experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

About the Role: We are hiring AI/ML Engineers to join a growing remote-first product and research team working on various AI/ML-driven applications across domains like: • Real Estate Intelligence • Fintech • Predictive Analytics • Generative AI • AI Assistants & Agents • Data Automation Tools This is a hands-on engineering role best suited for freshers or early-stage professionals looking to gain deep experience with practical ML model development, LLM integrations, and production deployment. ⸻ 🛠 Responsibilities: • Assist in training and tuning ML models using scikit-learn, TensorFlow, or PyTorch • Work with structured and unstructured datasets using Pandas, NumPy, SQL, and APIs • Build and test AI pipelines: preprocessing → modeling → evaluation → deployment • Integrate AI models into microservices (FastAPI/Flask) • Use LLM APIs (OpenAI, Anthropic, Gemini, Mistral) for building AI assistants and tools • Implement vector search and semantic search using Pinecone or ChromaDB • Write clean, reusable, and well-documented code in Python ⸻ ✅ Requirements: • Degree in Computer Science, Data Science, Engineering, or equivalent practical skills • Solid understanding of ML concepts: regression, classification, clustering, etc. • Experience with: • Python and Jupyter notebooks • Pandas, Numpy, Matplotlib • At least one ML library: scikit-learn, TensorFlow, or PyTorch • Good grasp of APIs and working with JSON/REST endpoints • Strong problem-solving ability and attention to detail • Basic version control with Git ⸻ 🌟 Nice-to-Haves: • Exposure to OpenAI, LangChain, Hugging Face, or LlamaIndex • Familiarity with Pinecone, ChromaDB, or vector databases • Understanding of cloud deployment (Google Cloud, AWS, or Firebase) • Participation in hackathons, Kaggle competitions, or personal ML projects • Interest in domain-specific AI (real estate, finance, e-commerce, etc.) ⸻ 🧠 You’ll Learn & Work With: • AI prompt engineering & chaining logic • LLM-driven workflows using LangChain / RAG pipelines • End-to-end ML lifecycle (train → deploy → monitor) • Generative AI and AI copilots • FastAPI for microservice integration

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. In SAP data and analytics at PwC, you will specialise in providing consulting services for data and analytics solutions using SAP technologies. You will analyse client requirements, design and implement data management and analytics solutions, and provide training and support for effective utilisation of SAP data and analytics tools. Working in this area, you will work closely with clients to understand their data needs, develop data models, perform data analysis, and create visualisations and reports to support data-driven decision-making, helping them optimise their data management processes, enhance data quality, and derive valuable insights from their data to achieve their strategic objectives. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: -BW on HANA/BW4HANA implementation in key SAP modules -Requirement’s analysis, conception, implementation/development of solution as per requirement. Create HLD and then convert them to LLD. -Data extraction from SAP and non-SAP systems, data modelling and reports delivery. -Work closely with Project leaders, Business teams, SAP functional counterparts to Architect, Design, Develop SAP BW4 HANA Solutions -Understand the integration and consumption of BW data models/repots with other Tools Responsibilities: -Hands-on experience in SAP BW/4HANA or SAP BW ON HANA and strong understanding of usage of objects like Composite providers, Open ODS view, advanced DSOs, Transformations, exposing BW models as HANA views, mixed scenarios, and performance optimization concepts such as data tiering optimization. -Experience in integration of BW with various SAP and Non-SAP backend systems/sources of data and good knowledge of different data acquisition techniques in BW/4HANA. -knowledge of available SAP BW/4HANA tools and its usage like BW/4HANA Web Cockpit. -Full life cycle Implementation experience in SAP BW4HANA or SAP BW on HANA -Hands on Experience in data extraction using standard or generic data sources. Good Knowledge of data source enhancement. Mandatory skill sets: -Strong experience in writing ABAP/AMDP code for exits, Transformation. -Strong understanding CKF, RKF, Formula, Selections, Variables and other components used for reporting. -Understanding of LSA/LSA++ architecture and its development standards. -Good understanding of BW4 Application and Database security concepts. -Functional Knowledge of various Modules like SD, MM, FI. Preferred skill sets: -Hands on experience for SAP BW for almost 7-10 years of experience. Years of experience required: -6-10 years experience on SAP BW. Education qualification: -B.Tech / M.Tech (Computer Science, Mathematics & Scientific Computing etc.) Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology, Master of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills SAP Business Warehouse Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data Analysis Software, Data Collection, Data-Driven Consulting, Data Integration, Data Mining, Data Modeling, Data Preprocessing, Data Quality, Data Quality Improvement Plans (DQIP), Data Security, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Learning Agility {+ 15 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. In SAP data and analytics at PwC, you will specialise in providing consulting services for data and analytics solutions using SAP technologies. You will analyse client requirements, design and implement data management and analytics solutions, and provide training and support for effective utilisation of SAP data and analytics tools. Working in this area, you will work closely with clients to understand their data needs, develop data models, perform data analysis, and create visualisations and reports to support data-driven decision-making, helping them optimise their data management processes, enhance data quality, and derive valuable insights from their data to achieve their strategic objectives. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: -BW on HANA/BW4HANA implementation in key SAP modules -Requirement’s analysis, conception, implementation/development of solution as per requirement. Create HLD and then convert them to LLD. -Data extraction from SAP and non-SAP systems, data modelling and reports delivery. -Work closely with Project leaders, Business teams, SAP functional counterparts to Architect, Design, Develop SAP BW4 HANA Solutions -Understand the integration and consumption of BW data models/repots with other Tools Responsibilities: -Hands-on experience in SAP BW/4HANA or SAP BW ON HANA and strong understanding of usage of objects like Composite providers, Open ODS view, advanced DSOs, Transformations, exposing BW models as HANA views, mixed scenarios, and performance optimization concepts such as data tiering optimization. -Experience in integration of BW with various SAP and Non-SAP backend systems/sources of data and good knowledge of different data acquisition techniques in BW/4HANA. -knowledge of available SAP BW/4HANA tools and its usage like BW/4HANA Web Cockpit. -Full life cycle Implementation experience in SAP BW4HANA or SAP BW on HANA -Hands on Experience in data extraction using standard or generic data sources. Good Knowledge of data source enhancement. Mandatory skill sets: -Strong experience in writing ABAP/AMDP code for exits, Transformation. -Strong understanding CKF, RKF, Formula, Selections, Variables and other components used for reporting. -Understanding of LSA/LSA++ architecture and its development standards. -Good understanding of BW4 Application and Database security concepts. -Functional Knowledge of various Modules like SD, MM, FI. Preferred skill sets: -Hands on experience for SAP BW for almost 7-10 years of experience. Years of experience required: -6-10 years experience on SAP BW. Education qualification: -B.Tech / M.Tech (Computer Science, Mathematics & Scientific Computing etc.) Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology, Master of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills SAP Business Warehouse Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data Analysis Software, Data Collection, Data-Driven Consulting, Data Integration, Data Mining, Data Modeling, Data Preprocessing, Data Quality, Data Quality Improvement Plans (DQIP), Data Security, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Learning Agility {+ 15 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. In SAP data and analytics at PwC, you will specialise in providing consulting services for data and analytics solutions using SAP technologies. You will analyse client requirements, design and implement data management and analytics solutions, and provide training and support for effective utilisation of SAP data and analytics tools. Working in this area, you will work closely with clients to understand their data needs, develop data models, perform data analysis, and create visualisations and reports to support data-driven decision-making, helping them optimise their data management processes, enhance data quality, and derive valuable insights from their data to achieve their strategic objectives. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary: -BW on HANA/BW4HANA implementation in key SAP modules -Requirement’s analysis, conception, implementation/development of solution as per requirement. Create HLD and then convert them to LLD. -Data extraction from SAP and non-SAP systems, data modelling and reports delivery. -Work closely with Project leaders, Business teams, SAP functional counterparts to Architect, Design, Develop SAP BW4 HANA Solutions -Understand the integration and consumption of BW data models/repots with other Tools Responsibilities: -Hands-on experience in SAP BW/4HANA or SAP BW ON HANA and strong understanding of usage of objects like Composite providers, Open ODS view, advanced DSOs, Transformations, exposing BW models as HANA views, mixed scenarios, and performance optimization concepts such as data tiering optimization. -Experience in integration of BW with various SAP and Non-SAP backend systems/sources of data and good knowledge of different data acquisition techniques in BW/4HANA. -knowledge of available SAP BW/4HANA tools and its usage like BW/4HANA Web Cockpit. -Full life cycle Implementation experience in SAP BW4HANA or SAP BW on HANA -Hands on Experience in data extraction using standard or generic data sources. Good Knowledge of data source enhancement. Mandatory skill sets: -Strong experience in writing ABAP/AMDP code for exits, Transformation. -Strong understanding CKF, RKF, Formula, Selections, Variables and other components used for reporting. -Understanding of LSA/LSA++ architecture and its development standards. -Good understanding of BW4 Application and Database security concepts. -Functional Knowledge of various Modules like SD, MM, FI. Preferred skill sets: -Hands on experience for SAP BW for almost 4-7 years of experience. Years of experience required: -4-7 years experience on SAP BW. Education qualification: -B.Tech / M.Tech (Computer Science, Mathematics & Scientific Computing etc.) Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Engineering, Bachelor of Technology Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills SAP Business Warehouse Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Communication, Complex Data Analysis, Creativity, Data Analysis Software, Data Collection, Data-Driven Consulting, Data Integration, Data Mining, Data Modeling, Data Preprocessing, Data Quality, Data Quality Improvement Plans (DQIP), Data Security, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Learning Agility, Optimism {+ 10 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

About The Role PubMatic is looking for engineers with expertise in Generative AI and AI agent development. You will be responsible for building and optimizing advanced AI agents that leverage the latest technologies in Retrieval-Augmented Generation (RAG), vector databases, and large language models (LLMs). You will work on developing state-of-the-art solutions that enhance Generative AI capabilities and enable our platform to handle complex information retrieval, contextual generation, and adaptive interactions.. What You'll Do Be the decision maker for using right set of tools & technology to solve specific problems. Guide & Mentor different team members for using generative AI tools and help the teams build various agents. Provide technical leadership and mentorship to engineering teams while collaborating with architects, product managers, and UX designers to create innovative AI solutions that address complex customer challenges. Lead the design, development, and deployment of AI-driven features. Drive end-to-end ownership—from feasibility analysis and design specifications to execution and release—while ensuring quick iterations based on customer feedback in a fast-paced Agile environment. Spearhead technical design meetings and produce detailed design documents that outline scalable, secure, and robust AI architectures. Ensure that the solutions are aligned with long-term product strategy and technical roadmaps. Implement and optimize LLMs for specific use cases, including fine-tuning models, deploying pre-trained models, and evaluating their performance. Develop AI agents powered by RAG systems, integrating external knowledge sources to improve the accuracy and relevance of generated content. Design, implement, and optimize vector databases (e.g., FAISS, Pinecone, Weaviate) for efficient and scalable vector search, and work on various vector indexing algorithms. Create sophisticated prompts and fine-tune them to improve the performance of LLMs in generating precise and contextually relevant responses. Utilize evaluation frameworks and metrics (e.g., Evals) to assess and improve the performance of generative models and AI systems. Work with data scientists, engineers, and product teams to integrate AI-driven capabilities into customer-facing products and internal tools. Stay up to date with the latest research and trends in LLMs, RAG, and generative AI technologies to drive innovation in the company’s offerings. Continuously monitor and optimize models to improve their performance, scalability, and cost efficiency. We'd Love for You to Have Strong understanding of large language models and their underlying principles, including transformer architecture and hyper-parameter tuning. Proven experience building AI agents with Retrieval-Augmented Generation to enhance model performance using external data sources (documents, databases). In-depth knowledge of vector databases, vector indexing algorithms, and experience with technologies like FAISS, Pinecone, Weaviate, or Milvus. Ability to craft complex prompts to guide the output of LLMs for specific use cases, enhancing model understanding and contextuality. Familiarity with Evals and other performance evaluation tools for measuring model quality, relevance, and efficiency. Proficiency in Python and experience with machine learning libraries such as TensorFlow, PyTorch, and Hugging Face Transformers. Experience with data preprocessing, vectorization, and handling large-scale datasets. Ability to present complex technical ideas and results to both technical and non-technical stakeholders. Curiosity to learn new things and be up to date with market trends in Gen AI technology. Nice-to-Have Experience in building AI agents using graph-based architectures, including knowledge graph embeddings and graph neural networks (GNNs). Experience with training small base models using custom data, including data collection, pre-processing, and fine-tuning models to specific domains or tasks. Familiarity with deploying AI models on cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes). Publication or contributions to research in AI, LLMs, or related fields. Proven record of building enterprise scale generative AI application with specific emphasis on accuracy & cost. Qualifications Should have a bachelor’s degree in engineering (CS / IT) or equivalent degree from a well-known Institute / University. Additional Information Return to Office : PubMatic employees throughout the global have returned to our offices via a hybrid work schedule (3 days “in office” and 2 days “working remotely”) that is intended to maximize collaboration, innovation, and productivity among teams and across functions. Benefits : Our benefits package includes the best of what leading organizations provide, such as paternity/maternity leave, healthcare insurance, broadband reimbursement. As well, when we’re back in the office, we all benefit from a kitchen loaded with healthy snacks and drinks and catered lunches and much more! Diversity and Inclusion : PubMatic is proud to be an equal opportunity employer; we don’t just value diversity, we promote and celebrate it. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. About PubMatic PubMatic is one of the world’s leading scaled digital advertising platforms, offering more transparent advertising solutions to publishers, media buyers, commerce companies and data owners, allowing them to harness the power and potential of the open internet to drive better business outcomes. Founded in 2006 with the vision that data-driven decisioning would be the future of digital advertising, we enable content creators to run a more profitable advertising business, which in turn allows them to invest back into the multi-screen and multi-format content that consumers demand.

Job Title: Trainer – AI/ML/Data Science (Data Focus) Job Location: Chennai (MEPZ – Tambaram) Experience: 4–5 Years Work Mode: Full-Time, Work from Office Job Description: We are seeking a passionate and experienced Trainer in AI/ML/Data Science with a strong focus on data engineering and big data technologies . The ideal candidate will have hands-on experience in delivering technical training and designing engaging learning content. Key Responsibilities: Deliver high-quality training sessions on AI, ML, and Data Science with emphasis on data engineering and big data tools. Design and develop training materials including presentations, labs, assessments, and case studies. Customize training programs based on audience profiles and industry needs. Conduct both classroom and virtual training sessions. Keep content updated with the latest industry trends and technologies. Evaluate learner performance and provide constructive feedback. Collaborate in curriculum development and training effectiveness reviews. Required Skills & Experience: 4–5 years of experience in AI/ML/Data Science with exposure to big data tools. Proficient in Python and libraries like NumPy, Pandas, scikit-learn. Hands-on experience with big data platforms: Hadoop, Spark, Hive, Kafka. Strong understanding of data pipelines, preprocessing, and feature engineering. Experience in training lifecycle: content creation, delivery, and assessment. Excellent communication and presentation skills. Ability to simplify complex concepts for diverse audiences. Preferred Qualifications: Bachelor’s/Master’s/PhD in Data Science, Computer Science, or related fields. Certifications in AI/ML/Data Engineering from reputed platforms. Prior experience in corporate or academic training. Familiarity with cloud platforms like AWS, GCP, or Azure.

Intelligent Image Management Inc (IIMI) is an IT Services company reimagines and digitizes data through document automation using modern, cloud-native app development. As one of the world's leading multinational IT services companies with offices in the USA and Singapore, India, Sri Lanka, Bangladesh, Nepal and Kenya. Over 7,000 people are employed by IIMI worldwide whose mission is to advance data process automation. US and European Fortune 500 companies are among our clients. Become part of a team that puts its people first. Founded in 1996, Intelligent Image Management Inc. has always believed in its people. We strive to foster an environment where all feel welcome, supported, and empowered to be innovative and reach their full potential. Website: https://www.iimdirect.com/ About the Role: We are looking for a highly experienced and driven Senior Data Scientist to join our advanced AI and Data Science team. You will play a key role in building and deploying machine learning models—especially in the areas of computer vision, document image processing, and large language models (LLMs) . This role requires a combination of hands-on technical skills and the ability to design scalable ML solutions that solve real-world business problems. Key Responsibilities: Design and develop end-to-end machine learning pipelines, from data preprocessing and feature engineering to model training, evaluation, and deployment. Lead complex ML projects using deep learning, computer vision, and document analysis methods (e.g., object detection, image classification, segmentation, layout analysis). Build solutions for document image processing using tools like Google Cloud Vision, AWS Textract , and OCR libraries. Apply LLMs (Large Language Models), both open-source (e.g., LLaMA, Mistral, Falcon, GPT-NeoX) and closed-source (e.g., OpenAI GPT, Claude, Gemini), to automate text understanding, extraction, summarization, classification, and question-answering tasks. Integrate LLMs into applications for intelligent document processing, NER, semantic search, embeddings, and chat-based interfaces. Use Python (along with libraries such as OpenCV, PyTorch, TensorFlow, Hugging Face Transformers) and for building scalable, multi-threaded data processing pipelines. Implement and maintain ML Ops practices using tools such as MLflow, AWS SageMaker, GCP AI Platform , and containerized deployments. Collaborate with engineering and product teams to embed ML models into scalable production systems. Stay up to date with emerging research and best practices in machine learning, LLMs, and document AI. Required Qualifications: Bachelor’s or master’s degree in computer science, Mathematics, Statistics, Engineering, or a related field. Minimum 5 years of experience in machine learning, data science, or AI engineering roles. Strong background in deep learning, computer vision, and document image processing . Practical experience with LLMs (open and closed source), including fine-tuning, prompt engineering, and inference optimization. Solid grasp of MLOps , model versioning, and model lifecycle management. Expertise in Python , with strong knowledge of ML and CV libraries. Experience with Java and multi-threading is a plus. Familiarity with NLP tasks including Named Entity Recognition , classification, embeddings , and text summarization . Experience with cloud platforms (AWS/GCP) and their ML toolkits Preferred Skills: • Experience with retrieval-augmented generation (RAG), vector databases, and LLM evaluation tools. • Exposure to CI/CD for ML workflows and best practices in production ML. • Ability to mentor junior team members and lead cross-functional AI projects. Work Location: Work from Office Send cover letter, complete resume, and references to email: tech.jobs@iimdirect.com Industry: Outsourcing/Offshoring Employment Type Full-time

About Us: Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data and AI-first scaled operations services. Based in San Francisco and Hyderabad, we are a fast-moving team on a mission to build AI for Good, driving innovation and societal impact. Role Overview :We are seeking a skilled AI/ML Engineer to join our client’s team (Top Tier Consulting Fir m) and operationalize our machine learning workflows. You will work closely with data scientists, engineers, and product teams to design, deploy, monitor, and maintain scalable ML pipelines in production. The ideal candidate has a strong foundation in ML systems, DevOps principles, and cloud-native technologies . Key Responsibilitie s:Collaborate with cross-functional teams to define ML problem statements and translate them into technical task s.Design and implement robust data pipelines for collecting, cleaning, and validating large dataset s.Develop, train, and evaluate machine learning models using appropriate algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch ).Package and deploy ML models as scalable services or APIs, ensuring performance, security, and reliabilit y.Monitor and maintain models in production, including retraining and performance tunin g.Implement best practices in MLOps: experiment tracking, versioning, CI/CD pipelines, and model monitorin g.Document methodologies, workflows, and technical decisions clearly for both technical and non-technical audience s.Stay up to date with industry trends and contribute to evaluating and adopting new tools or frameworks where relevan t.Required Skill s:Strong programming skills in Python and experience with ML libraries (scikit-learn, PyTorch, TensorFlow ).Solid understanding of machine learning fundamentals, including data preprocessing, feature engineering, model selection, and evaluatio n.Hands-on experience with SQL and data manipulation using tools like panda s.Experience deploying models in production environments, including serving models via REST API s.Familiarity with containerization (Docker) and orchestration (Kubernetes is a plus ).Knowledge of cloud platforms (AWS, GCP, or Azure) and experience with relevant ML tools (e.g., SageMaker, Vertex AI) is a plu s.Good understanding of software engineering best practices: version control, testing, code review s.Nice-to-Hav e:Experience with big data frameworks (e.g., Spark) for processing large dataset s.Knowledge of experiment tracking tools (e.g., MLflow, Weights & Biases ).Familiarity with MLOps workflows and tools for monitoring data/model drif t.Domain-specific expertise in NLP, Computer Vision, or Time Series Analysi s.Educational Qualification s:Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related fiel d.

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Title: Data Scientist Location: Bangalore Reporting to: Manager- Analytics/ Senior Manager-Analytics Purpose of the role Contributing to the Data Science efforts of AB InBevʼs global non-commercial analytics capability of Procurement Analytics. Candidate will be required to contribute and may also need to guide the DS team staffed on the area and assess the efforts required to scale and standardize the use of Data Science across multiple ABI markets KEY TASKS AND ACCOUNTABILITIES Understand the business problem and translate that to an analytical problem; participate in the solution design process. Manage the full AI/ML lifecycle, including data preprocessing, feature engineering, model training, validation, deployment, and monitoring. Develop reusable and modular Python code adhering to OOP (Object-Oriented Programming) principles. Design, develop, and deploy machine learning models into production environments on Azure. Collaborate with data scientists, software engineers, and other stakeholders to meet business needs. Ability to communicate findings clearly to both technical and business stakeholders. Qualifications, Experience, Skills Level of educational attainment required (1 or more of the following) B.Tech /BE/ Masters in CS/IS/AI/ML Previous Work Experience Required Minimum 3 years of relevant experience Technical Skills Required Must Have Strong expertise in Python, including advanced knowledge of OOP concepts. Exposure to AI/ML methodologies with a previous hands-on experience in ML concepts like forecasting, clustering, regression, classification, optimization, deep learning , NLP using Python Solid understanding of GenAI concepts and experience in Prompt Engineering and RAG Experience with version control tools such as Git. Consistently display an intent for problem solving Strong communication skills (vocal and written) Ability to effectively communicate and present information at various levels of an organization Good To Have Preferred industry exposure in CPG and experience of working in the domain of Procurement Analytics Product building experience would be a plus Familiarity with Azure Tech Stack, Databricks, ML Flow in any cloud platform Experience with Airflow for orchestrating and automating workflows Familiarity with MLOPS and containerization tools like Docker would be plus. Other Skills Required Passion for solving problems using data Detail oriented, analytical and inquisitive Ability to learn on the go Ability to work independently and with others We dream big to create future with more cheers