26966 Ml Jobs - Page 13

Job Title: Software Engineer Consultant/Expert 34192 Location: Chennai (Onsite) Compensation: Up to ₹22 LPA Employment Type: Contract Notice Period: Immediate Joiners or Candidates Serving Notice (Up to 30 Days) Position Overview This is a Tech Anchor role requiring expertise in Python and Full Stack Development with a focus on end-to-end deployment and ML Ops within Google Cloud Platform (GCP) . Key Responsibilities Lead and contribute to the design, development, and deployment of full-stack applications. Build and manage ML Ops pipelines on GCP. Collaborate with cross-functional teams for delivering high-quality, scalable, and maintainable solutions. Take ownership of technical decision-making and architecture for assigned modules and systems. Experience And Skills Required 7+ years of software development experience. Strong programming skills in Python. Experience in full stack development, including front-end and back-end. Hands-on experience in GCP services and cloud-native development. Deep understanding of ML Ops tools and best practices. Familiarity with DevOps tools, CI/CD pipelines, and containerization is a plus. Ability to work independently in a fast-paced environment. Work Mode Onsite – Chennai Full-time engagement with a focus on immediate availability. Skills: cloud,containerization,ops,ml,google cloud platform (gcp),ci/cd pipelines,python,devops tools,ml ops,full stack development,software

About Us nCircle Tech Private Limited (Incorporated in 2012) empowers passionate innovators to create impactful 3D visualization software for desktop, mobile and cloud. Our domain expertise in CAD and BIM customization is driving automation with the ability to integrate advanced technologies like AI/ML and AR/VR, which empowers our clients to reduce time to market and meet business goals. nCircle has a proven track record of technology consulting and advisory services for AEC and Manufacturing industry across the globe. Our team of dedicated engineers, partner ecosystem and industry veterans are on a mission to redefine how you design and visualize. Job Description Email Marketing & Automation Plan, design, and execute email marketing campaigns to drive engagement and lead generation Segment lists, personalize content, and analyze campaign metrics to optimize performance Manage email platforms (e.g., Mailchimp, Brevo, HubSpot, etc.) and ensure compliance with data protection laws Content Creation Write and edit high-quality marketing content including blogs, newsletters, case studies, and social media posts Support campaign planning with engaging content tailored for different audiences and platforms Coordinate with design teams to deliver visually aligned content Requirements Bachelor’s degree in Marketing, Communications, Business, or a related field 4–5 years of relevant marketing experience in a B2B or tech-driven environment Proven experience in planning and executing multi-channel marketing campaigns Strong written and verbal communication skills Proficiency in tools like Google Analytics, SEO tools (Ahrefs, Moz, SEMrush), Canva, or Adobe Suite Strong organizational and time management skills with attention to detail Preferred Qualifications Experience working with CRM and automation platforms (HubSpot, Zoho, Salesforce Marketing Cloud, Brevo) Exposure to global events and tech industry marketing Ability to work collaboratively across departments check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#6875E2;border-color:#6875E2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered="">

Credit Card Portfolio Manager – Strategy & Analytics FPL is growing rapidly and is strengthening its Portfolio Management & Analytics team to fuel the next phase of its credit card business. This role is critical in shaping the credit card portfolio strategy across the entire customer lifecycle — from activation to spend growth, retention, and balance build — while ensuring profitability and risk balance. Key Responsibilities Full Lifecycle Ownership : Drive key credit card portfolio activities including: New customer activation Credit line management Risk-based pricing strategies Spend stimulation and usage uplift Balance build and revolver growth Cross-sell and retention programs KPI Ownership : Own and deliver on key metrics including: Activation rate Monthly spend per active card Revolver rate Cost per acquired account Net credit loss EMI Book Strategic Analysis & Opportunity Identification : Perform deep-dive analysis to uncover trends, risks, and opportunities across segments and lifecycle stages. Experimentation & Personalization : Design and evaluate A/B tests to drive credit line changes, pricing offers, personalized nudges, and behavioral interventions using behavioral economics and neuroscience principles. Advanced Analytics & Recommender Systems : Build recommender systems to identify hidden spend potential and customer affinity across categories and merchants. ML/AI Solutioning : Leverage machine learning and deep learning to design models for customer segmentation, risk prediction, and spend propensity to power differentiated strategies. Stakeholder Collaboration : Partner with Product, Risk, Technology, and Marketing teams to translate analytics into high-impact, customer-facing programs. Qualifications Experience 8+ years of experience in consumer lending, payments, or credit cards Proven experience in credit card portfolio analytics, modeling, or lifecycle strategy Exposure to designing and implementing experiments (A/B, DoE) Technical Skills Strong hands-on expertise in SQL and Python Exposure to ML/AI modeling and deployment App Analytics is a plus Educational Background Degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field Preferred Attributes Strong commercial acumen with ability to balance growth and profitability trade-offs Data-driven mindset with proven ability to translate insights into business action Excellent stakeholder communication and storytelling skills Detail-oriented with strong ownership of output quality Team-first mindset with collaborative and flexible working style Intellectual curiosity and drive for innovation Why Join Us? This is a high-impact, visible role for someone who thrives at the intersection of data, strategy, and business growth. You’ll have the opportunity to build cutting-edge credit strategies, work with rich customer data, and directly influence the performance of a growing credit card portfolio. Preferred Industry Background Fintech Credit card startups Consumer NBFCs Digital-first banking

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

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

As the Head of Digital, the Deputy General Manager will be responsible for leading the digital transformation of the organization. This role will involve developing and implementing digital strategies that align with the company's business objectives. The candidate will be expected to leverage their expertise in Smart Manufacturing, Industry 4.0, Digital Manufacturing, Analytics, Machine Learning, Artificial Intelligence, Augmented Reality, and Virtual Reality to drive innovation and efficiency across all operations. Lead the adoption of digital technologies such as Smart Manufacturing, Industry 4.0, Digital Manufacturing, Augmented Reality, Virtual Reality, AI/ML, Analytics, and Digital Analytics Collaborate with different departments to identify opportunities for process improvements and cost reductions through digital transformation Provide leadership and coaching to the digital team, fostering an environment of collaboration and innovation Stay updated with the latest digital trends and technologies and assess their applicability to our business Manage digital projects, ensuring they are delivered on time and within budget Work closely with the manufacturing department, with a special focus on discrete manufacturing and/or steel products industry Measure and report on the success of digital initiatives, using these insights to drive continuous improvement Promote a culture of innovation and digital thinking across the organization Ensure compliance with digital standards and regulations The ideal candidate for this role should have a strong background in digital technologies, with a special emphasis on their application in the manufacturing industry They should also possess strong leadership skills and the ability to drive digital innovation. Key Interactions* 1. Stakeholder Engagement 2. Risk Assessment 3. Data Analysis 4. Senior Management

Summary Position Summary Job title : AML Analytics-Sr.Consultant Position Summary: We are growing rapidly and need a motivated, technical, highly skilled, and experienced Analytics/Tech Senior Staff to support our AML Transaction Monitoring and Sanctions engagement teams. The ideal candidate will have a strong background in AML compliance, Transaction Monitoring, Sanctions screening, and/or Financial Crime Prevention, particularly in delivering Technology/Systems Implementation, AML technology enhancements, Model Validation, Data Validations, Rules/Parameter Tuning, Coverage Assessment, and/or Transaction Monitoring Lookback Analysis. Preferred technical skills include proficiency in data analytics, SQL, SSIS, Python, AI/ML models, statistical methods for tuning, and a thorough understanding of US AML and Sanctions regulations. Technical experience with prominent AML platforms/solutions (e.g., Actimize, Oracle FCCM, SAS AML, Fircosoft, Quantexa, Fenergo) and knowledge of banking data (e.g., SWIFT, ISO 20022, ACH) is preferred. Key Responsibilities: Transaction Monitoring Implementation: Design, development, and implementation of transaction monitoring systems. Ensure that monitoring systems are effectively identifying suspicious activities and are compliant with regulatory requirements. Transaction Monitoring Model Validation: Conduct comprehensive validation of transaction monitoring models to ensure accuracy and effectiveness. Develop and execute testing plans to assess model performance and identify areas for improvement. Document validation processes and findings, providing recommendations for model enhancements. Transaction Monitoring Lookback Analysis: Conduct lookback analyses to review historical transaction data for potential missed suspicious activities. Develop and customize rules in SQL to enhance transaction monitoring capabilities. Tune thresholds using statistical methods to optimize the detection of suspicious activities while minimizing false positives. Document lookback analysis processes, findings, and recommendations. Regulatory Compliance: Stay current with US AML regulations and ensure transaction monitoring practices are compliant. Provide guidance and training to team members on regulatory requirements and best practices. Participate in regulatory examinations and audits, providing necessary documentation and responses. Qualifications: Bachelor's degree in Computer Science, or a related field. Minimum 5 years of experience in data analytics. Minimum of 3 years of experience in AML compliance, with a focus on transaction monitoring and sanctions screening. Experience with AML transaction monitoring software (e.g., Actimize, Oracle FCCM, Fircosoft, SAS AML). Proficiency in SQL, SSIS, and Python for data extraction, transformation, and data analysis. Extensive experience with data analytics tools and techniques. Excellent analytical, problem-solving, and decision-making skills. Excellent communication and interpersonal skills. Preferred Skills: Familiarity with machine learning and artificial intelligence applications in transaction monitoring. Relevant certifications such as CAMS (Certified Anti-Money Laundering Specialist) are a plus. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 300975

Description We are seeking a skilled OT Network Traffic Analyst with deep expertise in Operational Technology (OT) communication protocols to join our cross-functional security and ML team. The ideal candidate will be responsible for intercepting and analyzing OT network traffic, identifying potential anomalies, and contributing to the development of cutting-edge anomaly detection solutions — even across proprietary and undocumented protocols. This is a hands-on role requiring both technical proficiency in network traffic inspection and the ability to collaborate with machine learning engineers and cybersecurity experts. Responsibilities Intercept, monitor, and analyze traffic from OT/ICS networks in real-time and from historical captures. Perform protocol-level inspection across standard (e.g., Modbus, DNP3, OPC-UA, IEC 61850) and proprietary OT communication protocols. Reverse engineer undocumented or proprietary OT protocols where necessary. Identify and flag anomalous behavior or patterns in the traffic, correlating with known attack vectors or operational deviations. Collaborate with ML engineers to define features and data inputs for anomaly detection models. Contribute domain expertise in OT to refine, validate, and test detection algorithms. Assist in setting up testbeds and simulations to emulate OT environments and collect relevant traffic data. Document findings and create actionable reports for both technical and non-technical stakeholders. Stay current with advancements in OT threat intelligence and anomaly detection research. Eligibility Bachelor's or Master's degree in Computer Science, Electrical Engineering, Cybersecurity, or a related field. 3+ years of experience working in OT/ICS environments. Deep understanding of OT communication protocols (e.g., Modbus, BACnet, PROFINET, OPC, etc.), including the ability to analyze raw packet captures. Experience with network traffic analysis tools (Wireshark, Zeek, tcpdump, etc.). Familiarity with network intrusion detection systems (NIDS) and traffic replay tools. Basic knowledge of machine learning concepts and how data features are derived from raw data. Hands-on experience with packet inspection, protocol dissection, or protocol reverse engineering. Desired Eligibility Experience working with or developing anomaly detection models in cybersecurity. Knowledge of ICS/SCADA systems and the Purdue model. Exposure to proprietary or vendor-specific OT protocols (e.g., Siemens S7, GE, Allen-Bradley, etc.). Familiarity with cybersecurity frameworks like NIST, MITRE ATT&CK for ICS. Scripting or automation skills (Python, Bash) for parsing and transforming traffic data. Prior experience in cross-functional teams, including ML and cybersecurity experts. Why Join Us? Work on cutting-edge anomaly detection in real-world OT environments. Collaborate with a high-caliber team of machine learning and cybersecurity professionals. Tackle novel challenges across legacy and proprietary OT protocols. Flexible work environment and opportunity to influence core security products. Travel As and when required, across the country for project execution and monitoring as well as for coordination with geographically distributed teams. Communication Submit a cover letter summarising your experience in relevant technologies and software, along with a resume and the Latest passport-size photograph.

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description JOB SUMMARY This position participates in the design, build, test, and delivery of Machine Learning (ML) models and software components that solve challenging business problems for the organization, working in collaboration with the Business, Product, Architecture, Engineering, and Data Science teams. This position engages in assessment and analysis of data sources of structured and unstructured data (internal and external) to uncover opportunities for ML and Artificial Intelligence (AI) automation, predictive methods, and quantitative modeling across the organization. This position establishes and configures scalable and cost-effective end to end solution design pattern components to support prediction model transactions. This position designs trials and tests to measure the success of software and systems, and works with teams, or individually, to implement ML/AI models for production scale. Responsibilities The MLOPS developer works on maintaining existing models that are supporting applications such as the digital insurance application and claims recommendation engine. They will be responsible for setting up cloud monitoring jobs, performing quality assurance and testing for edge cases to ensure the ML product works within the application. They are also going to need to be on call on weekends to bring the application back online in case of failure. Studies and transforms data science prototypes into ML systems using appropriate datasets and data representation models. Researches and implements appropriate ML algorithms and tools that creates new systems and processes powered with ML and AI tools and techniques according to business requirements Collaborates with others to deliver ML products and systems for the organization. Designs workflows and analysis tools to streamline the development of new ML models at scale. Creates and evolves ML models and software that enable state-of-the-art intelligent systems using best practices in all aspects of engineering and modelling lifecycles. Extends existing ML libraries and frameworks with the developments in the Data Science and Machine Learning field. Establishes, configures, and supports scalable Cloud components that serve prediction model transactions Integrates data from authoritative internal and external sources to form the foundation of a new Data Product that would deliver insights that supports business outcomes necessary for ML systems. Qualifications Requirements: Ability to code in python/spark with enough knowledge of apache to build apache beam jobs in dataproc to build data transfer jobs. Experience designing and building data-intensive solutions using distributed computing within a multi-line business environment. Familiarity in Machine Learning and Artificial Intelligence frameworks (i.e., Keras, PyTorch), libraries (i.e., scikit-learn), and tools and Cloud-AI technologies that aids in streamlining the development of Machine Learning or AI systems. Experience in establishing and configuring scalable and cost-effective end to end solution design pattern components to support the serving of batch and live streaming prediction model transactions Possesses creative and critical thinking skills. Experience in developing Machine Learning models such as: Classification/Regression Models, NLP models, and Deep Learning models; with a focus on productionizing those models into product features. Experience with scalable data processing, feature development, and model optimization. Solid understanding of statistics such as forecasting, time series, hypothesis testing, classification, clustering or regression analysis, and how to apply that knowledge in understanding and evaluating Machine Learning models. Knowledgeable in software development lifecycle (SDLM), Agile development practices and cloud technology infrastructures and patterns related to product development Advanced math skills in Linear Algebra, Bayesian Statistics, Group Theory. Works collaboratively, both in a technical and cross-functional context. Strong written and verbal communication. Bachelors’ (BS/BA) degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Employee Type Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

Summary Position Summary Job title : AML Analytics-Sr.Consultant Position Summary: We are growing rapidly and need a motivated, technical, highly skilled, and experienced Analytics/Tech Senior Staff to support our AML Transaction Monitoring and Sanctions engagement teams. The ideal candidate will have a strong background in AML compliance, Transaction Monitoring, Sanctions screening, and/or Financial Crime Prevention, particularly in delivering Technology/Systems Implementation, AML technology enhancements, Model Validation, Data Validations, Rules/Parameter Tuning, Coverage Assessment, and/or Transaction Monitoring Lookback Analysis. Preferred technical skills include proficiency in data analytics, SQL, SSIS, Python, AI/ML models, statistical methods for tuning, and a thorough understanding of US AML and Sanctions regulations. Technical experience with prominent AML platforms/solutions (e.g., Actimize, Oracle FCCM, SAS AML, Fircosoft, Quantexa, Fenergo) and knowledge of banking data (e.g., SWIFT, ISO 20022, ACH) is preferred. Key Responsibilities: Transaction Monitoring Implementation: Design, development, and implementation of transaction monitoring systems. Ensure that monitoring systems are effectively identifying suspicious activities and are compliant with regulatory requirements. Transaction Monitoring Model Validation: Conduct comprehensive validation of transaction monitoring models to ensure accuracy and effectiveness. Develop and execute testing plans to assess model performance and identify areas for improvement. Document validation processes and findings, providing recommendations for model enhancements. Transaction Monitoring Lookback Analysis: Conduct lookback analyses to review historical transaction data for potential missed suspicious activities. Develop and customize rules in SQL to enhance transaction monitoring capabilities. Tune thresholds using statistical methods to optimize the detection of suspicious activities while minimizing false positives. Document lookback analysis processes, findings, and recommendations. Regulatory Compliance: Stay current with US AML regulations and ensure transaction monitoring practices are compliant. Provide guidance and training to team members on regulatory requirements and best practices. Participate in regulatory examinations and audits, providing necessary documentation and responses. Qualifications: Bachelor's degree in Computer Science, or a related field. Minimum 5 years of experience in data analytics. Minimum of 3 years of experience in AML compliance, with a focus on transaction monitoring and sanctions screening. Experience with AML transaction monitoring software (e.g., Actimize, Oracle FCCM, Fircosoft, SAS AML). Proficiency in SQL, SSIS, and Python for data extraction, transformation, and data analysis. Extensive experience with data analytics tools and techniques. Excellent analytical, problem-solving, and decision-making skills. Excellent communication and interpersonal skills. Preferred Skills: Familiarity with machine learning and artificial intelligence applications in transaction monitoring. Relevant certifications such as CAMS (Certified Anti-Money Laundering Specialist) are a plus. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 300975

Description The OPTIMA team is seeking an Instructional Designer. OPTIMA is a global team and enables Amazon to deliver a superior shopping experience to customers worldwide. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging cuttingedge technology alongside our operational excellence. We enable shopping feature teams deliver superior CX quality by providing them reliable and comprehensive insights and ground truth data to measure and train ML (Machine Learning) models and handle annotation and Root Cause Analysis (RCA) across 10 different languages. The Instructional Designer will have an imaginative and creative mindset regarding the development of innovative and value-add learning content for curriculum/initiatives that impact strategic capabilities within the OPTIMA organization. The candidate must be driven, talented, comfortable and experienced with all elements of graphic, visual design, branding, animation, and video creation. In addition to strong graphic and media design skills, the candidate must have strong strategic and systems thinking, organizational skills, experience managing small and large projects, and acute attention to detail. They must have excellent communication, presentation, and interpersonal skills and the ability to present and defend their design decisions to leadership. HTML and CSS knowledge is a preferred qualification in order to support the creation of web-style pages as part of the team branding and communication strategy. Key job responsibilities Key job responsibilities Design templates, graphic content, illustrations, infographics, animations, video and web-style pages within Amazon intranet tools and various other channels. Manage graphic and media designs and multiple complex development projects from conception to delivery. Work with and for various diversified requirements and audience may require multitasking capability. Strong intrinsic design ability, typographic skills, attention to detail, and web expertise with the ability to manage multiple projects and handle large volumes of creative work. Manage the work queue, handle end-to-end design processes, related tools and proactively engage managers and stakeholders when needed. Conduct analysis to identify key tasks/skills to target in the curriculum and perform post implementation evaluation on key performance and business metrics. Communicate and highlight the risks and trade-offs in a project. Leverage technology to improve learner access and provide just in time learning. Incorporate creative execution best practices to ensure high-volume designs are delivered in a timely manner. Basic Qualifications 2+ years of design experience Have an available online portfolio Experience working with a variety of design tools such as Photoshop, Illustrator, and InDesign Preferred Qualifications Knowledge of user-centered design methodologies, usability principles, web-based information architecture and design Experience working in a collaborative team and working directly with developers for implementation of designs Experience in storyboarding Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Karnataka Job ID: A3031422

Description The OPTIMA team is seeking an Instructional Designer. OPTIMA is a global team and enables Amazon to deliver a superior shopping experience to customers worldwide. We aspire to provide an end-to-end data solution for the LLM lifecycle, leveraging cuttingedge technology alongside our operational excellence. We enable shopping feature teams deliver superior CX quality by providing them reliable and comprehensive insights and ground truth data to measure and train ML (Machine Learning) models and handle annotation and Root Cause Analysis (RCA) across 10 different languages. The Instructional Designer will have an imaginative and creative mindset regarding the development of innovative and value-add learning content for curriculum/initiatives that impact strategic capabilities within the OPTIMA organization. The candidate must be driven, talented, comfortable and experienced with all elements of graphic, visual design, branding, animation, and video creation. In addition to strong graphic and media design skills, the candidate must have strong strategic and systems thinking, organizational skills, experience managing small and large projects, and acute attention to detail. They must have excellent communication, presentation, and interpersonal skills and the ability to present and defend their design decisions to leadership. HTML and CSS knowledge is a preferred qualification in order to support the creation of web-style pages as part of the team branding and communication strategy. Key job responsibilities Design templates, graphic content, illustrations, infographics, animations, video and web-style pages within Amazon intranet tools and various other channels. Manage graphic and media designs and multiple complex development projects from conception to delivery. Work with and for various diversified requirements and audience may require multitasking capability. Strong intrinsic design ability, typographic skills, attention to detail, and web expertise with the ability to manage multiple projects and handle large volumes of creative work. Manage the work queue, handle end-to-end design processes, related tools and proactively engage managers and stakeholders when needed. Conduct analysis to identify key tasks/skills to target in the curriculum and perform post implementation evaluation on key performance and business metrics. Communicate and highlight the risks and trade-offs in a project. Leverage technology to improve learner access and provide just in time learning. Incorporate creative execution best practices to ensure high-volume designs are delivered in a timely manner. Basic Qualifications 2+ years of design experience Have an available online portfolio Experience working with a variety of design tools such as Photoshop, Illustrator, and InDesign Preferred Qualifications Knowledge of user-centered design methodologies, usability principles, web-based information architecture and design Experience working in a collaborative team and working directly with developers for implementation of designs Experience in storyboarding Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Karnataka Job ID: A3030460

Job Summary: We are seeking a skilled Senior Tableau Developer / Analyst to design, develop, and maintain interactive dashboards and reports. The ideal candidate will have expertise in Tableau, SQL, and data visualization, with a strong analytical mindset to translate complex data into meaningful insights. Key Responsibilities: Develop, design, and maintain Tableau dashboards and reports for business insights. Collaborate with stakeholders to understand reporting needs and translate them into interactive visualizations. Optimize dashboards for performance and usability. Write and optimize SQL queries to extract, transform, and analyze data. Ensure data accuracy, integrity, and consistency in reporting. Work with large datasets from multiple sources, including databases, APIs, and cloud platforms. Support data-driven decision-making by providing insights and actionable recommendations. Stay updated with the latest Tableau features and best practices. Manage and administer Tableau Server including upgrades, deployment, permissions, and performance tuning. Utilize Python for automation, data manipulation, or advanced analytics. Apply general data analysis techniques to extract meaningful business insights. Ensure flexibility with availability during evening hours. Preferred Qualifications: Experience with cloud platforms like AWS is preferred, and AWS Cloud Certification is a plus. Experience with Snowflake SQL is preferred, and experience with dbt is a plus. Experience with Tableau Server management (user access, performance tuning, publishing workbooks). Proficiency in Python for data processing and automation. Exposure to AI/ML models for predictive analytics. Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. The Role As a Data Science Lead with Worley, you will work closely with our existing team to deliver projects for our clients while continuing to develop your skills and experience etc…. Conceptualise, build and manage AI/ML (more focus on unstructured data) platform by evaluating and selecting best in industry AI/ML tools and frameworks Drive and take ownership for developing cognitive solutions for internal stakeholders & external customers. Conduct research in various areas like Explainable AI, Image Segmentation,3D object detections and Statistical Methods Evaluate not only algorithms & models but also available tools & technologies in the market to maximize organizational spend. Utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI/ML applications that scale from multi-user to enterprise class. Analyse marketplace trends - economical, social, cultural and technological - to identify opportunities and create value propositions. Offer a global perspective in stakeholder discussions and when shaping solutions/recommendations Analyse marketplace trends - economical, social, cultural and technological - to identify opportunities and create value propositions. Offer a global perspective in stakeholder discussions and when shaping solutions/recommendations IT Skills & Experience Thorough understanding of complete AI/ML project life cycle to establish processes & provide guidance & expert support to the team. Expert knowledge of emerging technologies in Deep Learning and Reinforcement Learning Knowledge of MLOps process for efficient management of the AI/ML projects. Must have lead project execution with other data scientists/ engineers for large and complex data sets Understanding of machine learning algorithms, such as k-NN, GBM, Neural Networks Naive Bayes, SVM, and Decision Forests. Experience in the AI/ML components like Jupyter Hub, Zeppelin Notebook, Azure ML studio, Spark ML lib, TensorFlow, Tensor flow,Keras, Py-Torch and Sci-Kit Learn etc Strong knowledge of deep learning with special focus on CNN/R-CNN/LSTM/Encoder/Transformer architecture Hands-on experience with large networks like Inseption-Resnets,ResNeXT-50. Demonstrated capability using RNNS for text, speech data, generative models Working knowledge of NoSQL (GraphX/Neo4J), Document, Columnar and In-Memory database models Working knowledge of ETL tools and techniques, such as Talend,SAP BI Platform/SSIS or MapReduce etc. Experience in building KPI /storytelling dashboards on visualization tools like Tableau/Zoom data People Skills Professional and open communication to all internal and external interfaces. Ability to communicate clearly and concisely and a flexible mindset to handle a quickly changing culture Strong analytical skills. Industry Specific Experience 10 -18 Years of experience of AI/ML project execution and AI/ML research Education – Qualifications, Accreditation, Training Master or Doctroate degree Computer Science Engineering/Information Technology /Artificial Intelligence Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-MM-Pune, IND-TN-Chennai, IND-GJ-Vadodara, IND-AP-Hyderabad, IND-WB-Kolkata Job Digital Platforms & Data Science Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Head of Data Intelligence

Job Description Backfill leveraging a split of a position into two roles. Former employee was Lukas Ergt based in Prague. Shift of roles to India. HCGT #4605 is other position. Current Employees apply HERE Current Contingent Workers apply HERE Secondary Language(s) Job Description Senior Manager, AI Insights Engineering The Opportunity Based in Hyderabad, join a global healthcare biopharma company and be part of a 130- year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products. Drive innovation and execution excellence. Be a part of a team with passion for using data, analytics, and insights to drive decision-making, and which creates custom software, allowing us to tackle some of the world's greatest health threats. Our Technology Centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of our companys’ IT operating model, Tech Centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy. A focused group of leaders in each Tech Center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers. Role Overview Are you driven to create real-world impact through applied AI, modern analytics, and intelligent automation and passionate about shaping the future of data and analytics in AI era? We are looking for an experienced and forward-thinking Senior AI Engineer / Full-Stack Developer in Data & Analytics to join our global team to help with our transformation from BI to AI. This role combines deep expertise in data engineering, BI/visualization, and AI/GenAI with a hands-on builder mindset. You will lead the design and delivery of next-generation analytics solutions , integrating semantic layers, streaming data, embedded insights, and AI agents. The ideal candidate is equally comfortable writing code, shaping architecture, experimenting with GenAI models, and mentoring teams—bridging BI, ML, engineering in a highly regulated, global pharma environment. What Will You Do In This Role Architect and build data and analytics solutions that align with our transofrmation from BI to AI focusing on Semantic models, governed self-service, and report cataloging Embedded analytics, feedback loops, and personalized insights AI/GenAI orchestration, including RAG, prompt chaining, and Copilot integrations Design and deliver data products and microservices combining BI tools (Power BI, Qlik, ThoughtSpot) Vector databases and LLM-powered APIs Real-time streaming and telemetry (Kafka, Fabric, Snowflake, Databricks) Build and deploy AI models for use cases like Semantic search and insight generation Report summarization and auto-commentary Decision-making agents and anomaly detection Collaborate across data engineering, business, product, and compliance teams to align on technical architecture, governance, and platform scalability. Lead proof-of-concepts, technical pilots, and full-stack AI solutions from ideation to production. Contribute to open discussions and communities of practice around ML Ops, AI tooling, metadata modeling, and observability. Continuously scan the AI/LLM landscape and identify innovative approaches that bring business value. What Should You Have Master degree in Computer Science, Data Engineering, or a related field. 10+ years of experience in data/analytics/AI roles, with demonstrated ability to build complex solutions end-to-end. Deep expertise in Python, SQL, and modern data engineering stacks (e.g., dbt, Snowflake, Databricks, Azure/AWS). Proficiency in AI/ML fundamentals neural networks, vector embeddings, prompt engineering, transformers, evaluation metrics. Hands-on experience with LLMs and GenAI frameworks (GPT-3.5/4, Llama, Claude, RAG, LangChain, Haystack, etc.). Experience building and deploying REST APIs, integrating AI into BI tools or operational systems. Strong background in BI platforms such as Power BI, Qlik, and ThoughtSpot, with experience in data modeling, DAX/set analysis, and performance tuning. Excellent communication skills; able to explain technical designs and model decisions to technical and non-technical stakeholders. Nice to have Experience with agent orchestration platforms, Copilot development, or autonomous decision agents. Familiarity with pharma or life sciences domain and its regulatory requirements (HIPAA, GxP, GDPR). Contributions to open-source AI/analytics tools or frameworks. Experience in multi-tenant SaaS architecture, metadata governance, or telemetry collection for usage-based optimization. Certifications in cloud (AWS, Azure), data engineering, or GenAI technologies. Our technology teams operate as business partners, proposing ideas and innovative solutions that enable new organizational capabilities. We collaborate internationally to deliver services and solutions that help everyone be more productive and enable innovation. Who We Are We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been inventing for life, bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world. What We Look For Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us—and start making your impact today. #HYDIT2025 Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Data Modeling, Design Applications, Release Management, Requirements Management, Solution Architecture, System Designs, Systems Integration Preferred Skills Job Posting End Date 08/15/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R356862

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

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

Description Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Experience with creating complex data for LLM training and evaluation Strong understanding of U.S.-based culture, society, and norms. Comfortable with high-school level STEM* Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 16 SEZ - H83 Job ID: A3030726

Job Title: AI Manager Location: Chennai Salary Range: ₹40,00,000 – ₹65,00,000 per annum Experience: 8 to 16 Years Key Responsibilities Lead and mentor a team of algorithm engineers, fostering growth and high performance. Design and maintain scalable infrastructure for deploying and executing AI/ML algorithms efficiently. Collaborate with cross-functional teams including data scientists, software engineers, and product managers to build robust algorithmic solutions. Optimize algorithm performance for efficiency and resource utilization in line with business goals. Stay current with emerging trends in machine learning, computer vision, and algorithm engineering. Continuously improve development methodologies, tools, and practices to enhance delivery and system reliability. Required Qualifications Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, or a related field. Minimum of: Ph.D. with at least 6 years of industry experience, or Master’s with at least 8 years of experience, or Bachelor’s with at least 10 years of experience. At least 3 years of experience in a formal Managerial role (not just Team Lead). 8+ years of hands-on experience in Machine Learning (ML), Deep Learning (DL), and Artificial Intelligence (AI). Proficient in programming languages such as Python, C++, and/or CUDA. 2–3 years of experience in Computer Vision and Image Processing. Strong understanding of high-performance computing, parallel programming, and distributed systems. Excellent analytical, problem-solving, and communication skills. Experience in managing the full development lifecycle of AI/ML projects in production environments. Preferred Qualifications Proficiency with frameworks such as TensorFlow, PyTorch, Scikit-learn. Hands-on experience with GPU architectures and containerization tools like Docker or Apptainer. Exposure to algorithm optimization and infrastructure design for scalable ML deployments. Academic background from a recognized institute (e.g., IIT, NIT, IIIT, VIT) is preferred. CGPA of 8.0 or above (where applicable) is considered an advantage. Experience in semiconductor, hardware, or product-based engineering companies is highly desirable. Additional Guidelines Must have a minimum of 2 years of stability in recent roles (no frequent job changes). Candidates must be willing to relocate to Chennai (relocation support available). Role requires 3 days/week working from office. Open to candidates currently located anywhere (including international profiles) willing to relocate. Interview Process Three Technical Rounds Fitment Discussion Final HR Round Skills: gpu architectures,ml,computer vision,c++,tensorflow,artificial intelligence,algorithm optimization,high-performance computing,infrastructure,infrastructure design,deep learning,cuda,python,image processing,pytorch,containerization tools (docker, apptainer),parallel programming,distributed systems,scikit-learn,learning,machine learning

Description Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Comfortable with high-school level STEM* Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Experience with creating complex data for LLM training and evaluation Comfortable with high-school level STEM* Strong understanding of U.S.-based culture, society, and norms. Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 16 SEZ - H83 Job ID: A3030705

Description Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities. This is a fixed term contractual role for 12 months. Key job responsibilities As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines Performing audits and quality checks of tasks completed by other specialists, if required Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks Diving deep into issues and implementing solutions independently Identifying and reporting tooling bugs and suggesting improvements A day in the life We are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data. Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial. Basic Qualifications Bachelor’s degree in a relevant field or equivalent professional experience 2+ year of experience working with written language data, including experience with annotation, and other forms of data markup. Strong understanding of U.S.-based culture, society, and norms. Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism. Excellent attention to details and ability to focus for a long period of time Comfortable with high-school level STEM* Ability to effectively write and evaluate diverse subject matter across various domains* Ability to adapt writing style to suit various style guidelines and customers. Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy Preferred Qualifications Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C1 level in the Common European Framework CEFR scale). Experience with creating complex data for LLM training and evaluation 1+ year(s) of experience working with command line interfaces and basic UNIX commands Familiarity with common markup languages such as HTML, XML, Markdown Familiarity with common standard text formats such as JSON, CSV, RTF Working knowledge of Python or another scripting language Familiarity with regular expressions syntax Familiarity with Large Language Models Comfort in annotation work that may include sensitive content Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI HYD 16 SEZ - H83 Job ID: A3030751

Company Description EnQuest PetroSolutions is dedicated to providing comprehensive Total E&P solutions with a focus on delivering value through fit for purpose programs. Our team of experienced professionals uses best in class technologies and innovative approaches to manage projects of all scales efficiently. With over 20 years of industry experience and more than 200 years of cumulative operational expertise, we ensure client satisfaction and maximum productivity. Our services span the entire project chain, including seismic acquisition, drilling operations, production management, and advisory services, as well as marine logistics for offshore projects. Role Description This is a full-time on-site role for an AI ML Developer located in New Delhi. The AI ML Developer will be responsible for designing, implementing, and deploying machine learning models to solve complex problems. This includes working with pattern recognition, neural networks, and natural language processing (NLP). The developer will collaborate with cross-functional teams to integrate ML models into software applications and contribute to developing innovative solutions for various projects. Qualifications Strong understanding of Pattern Recognition, Neural Networks, and Natural Language Processing (NLP) Solid background in Computer Science and Software Development Proficiency in relevant programming languages and ML frameworks Excellent problem-solving and analytical skills Ability to work collaboratively in a team environment Good communication skills to explain complex concepts Minimum 2-3 Experience in AI and ML Bachelor's degree in Computer Science, Engineering, or a related field

About Hannoworks Hannoworks designs cutting-edge AI solutions, blending business strategy and advanced technology. As part of our mission-driven team, you’ll help decode the world’s most innovative company business models and dissect the tech driving them forward. Job Description As AI Research Analyst (Intern) at Hannoworks, you will dive deep into how different companies operate, analyze their core business models, and investigate the underlying tech stacks—especially in digital and AI-powered products. You’ll not just skim the surface but explore the granular details that set successful business and technology strategies apart in a competitive world. Responsibilities Analyze and Compare Business Models: Explore, document, and contrast diverse company business models such as product, service, subscription, marketplace, and bundling. Deep Tech Stack Research: Map out typical technology stacks for AI companies (including infrastructure, data pipelines, ML frameworks, cloud platforms) and assess how these choices align with products and business value. RAG Systems & AI Native Products: Research RAG (Retrieval-Augmented Generation) architectures and the ecosystem of AI-native digital products, identifying what makes advanced AI integration successful or innovative. Real-World Product Insight: Study digital products—from cloud SaaS to consumer AI tools—to understand market fit, monetization, and the tech powering them. Present Research: Summarize findings in clear, well-structured reports (written and visual), and present insights to research and product teams. Qualification Open qualification —if you have the skills, you are welcome. Skills and Requirements Python Basics: Comfortable using Python for research, scripting, or automation tasks. Project Portfolio: At least one AI or tech project demonstrable on your GitHub profile. Curiosity for Tech & AI: Genuinely passionate about technology, with a habit of exploring, tinkering, and learning—especially around latest AI/ML and digital product trends. Understanding of Digital AI Products: Familiar with modern digital tools and platforms leveraging AI (can explain the value they create). Knowledge of RAG Systems: Understand how retrieval-augmented generation works, and can discuss its application in AI products. AI-Native Mindset: An “AI native”—someone who intuitively grasps how AI stacks, agents, and emerging products come together to create business and technical value. Communication: Ability to document research clearly and share insights—both in writing and when presenting. Self-driven: Independent learner, able to set research direction with minimal supervision. Bonus Points Familiarity with business frameworks (e.g., B2B, B2C, SaaS, freemium, marketplace, etc.). Experience with data visualization or reporting tools. Prior work on AI-powered or digital products—even if just prototypes.

Deliver captivating classroom instruction on subject of emerging technologies like Computer science,Artificial Intelligence and Machine learning. Collaborate on developing and refining the curriculum as per latest emerging technologies. Conduct research, secure funding for projects, and contribute to the advancement of the domain knowledge. Provide guidance and mentorship to students, fostering their academic and professional growth. Contribute to the creation of innovative learning materials and laboratories. Participation in examinations & academic work of the university. Actively participate in co-curricular and extra-curricular activities, including Faculty Development Programs. Requirement: Must have B.tech/M.tech CS/AI/ ML or MCA Accommodation will be provided Must have experience in teaching Candidate can apply from anywhere in india Job Type: Full-time Pay: ₹20,000.00 - ₹35,000.00 per month Benefits: Food provided Application Question(s): What is your qualification? Do you have experience in teaching, as faculty/assistant professor ? Are you immediate joiner ? Work Location: In person

Key Responsibilities: Design and develop full-stack web applications using the MERN (MongoDB, Express, React, Node.js) stack. Build RESTful APIs and integrate front-end and back-end systems. Deploy and manage applications using AWS services such as EC2, S3, Lambda, API Gateway, DynamoDB, CloudFront, RDS, etc. Implement CI/CD pipelines using AWS CodePipeline, CodeBuild, or other DevOps tools. Monitor, optimize, and scale applications for performance and availability. Ensure security best practices in both code and AWS infrastructure. Write clean, modular, and maintainable code with proper documentation. Work closely with product managers, designers, and QA to deliver high-quality products on schedule. Required Skills & Qualifications: Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience). 3+ years of professional experience with MERN Stack development. Strong knowledge of JavaScript (ES6+), React.js (Hooks, Redux), and Node.js. Hands-on experience with MongoDB and writing complex queries and aggregations. Proficiency in deploying and managing applications on AWS. Experience with AWS services like EC2, S3, Lambda, API Gateway, RDS, CloudWatch, etc. Knowledge of Git, Docker, and CI/CD pipelines. Understanding of RESTful API design, microservices architecture, and serverless computing. Strong debugging and problem-solving skills. Preferred Qualifications: AWS Certification (e.g., AWS Certified Developer – Associate). Experience with Infrastructure as Code (IaC) using Terraform or AWS CloudFormation. Experience with GraphQL and WebSockets. Familiarity with container orchestration tools like Kubernetes or AWS ECS/EKS. Exposure to Agile/Scrum methodologies. Company overview: smartData is a leader in global software business space when it comes to business consulting and technology integrations making business easier, accessible, secure and meaningful for its target segment of startups to small & medium enterprises. As your technology partner, we provide both domain and technology consulting and our inhouse products and our unique productized service approach helps us to act as business integrators saving substantial time to market for our esteemed customers. With 8000+ projects, vast experience of 20+ years, backed by offices in the US, Australia, and India, providing next door assistance and round-the-clock connectivity, we ensure continual business growth for all our customers. Our business consulting and integrator services via software solutions focus on important industries of healthcare, B2B, B2C, & B2B2C platforms, online delivery services, video platform services, and IT services. Strong expertise in Microsoft, LAMP stack, MEAN/MERN stack with mobility first approach via native (iOS, Android, Tizen) or hybrid (React Native, Flutter, Ionic, Cordova, PhoneGap) mobility stack mixed with AI & ML help us to deliver on the ongoing needs of customers continuously. Job Type: Full-time Pay: Up to ₹1,800,000.00 per year Benefits: Health insurance Provident Fund Schedule: Day shift Monday to Friday Supplemental Pay: Performance bonus Work Location: In person