14538 Ml Jobs - Page 13

Job Summary: Job Title: Senior Data Engineer – Machine Learning & Data Engineering Location: Gurgaon [IND] Department: Data Engineering / Data Science Employment Type: Full-Time YoE: 5-10 About the Role: We are looking for a Senior Data Engineer with a strong background in machine learning infrastructure , data pipeline development , and collaboration with data scientists to drive the deployment and scalability of advanced analytics and AI solutions. You will play a pivotal role in building and optimizing data systems that power ML models, dashboards, and strategic insights across the company. Key Responsibilities: Design, develop, and optimize scalable data pipelines and ETL/ELT processes to support ML workflows and analytics. Collaborate with data scientists to operationalize machine learning models in production environments (batch, real-time). Build and maintain data lakes, data warehouses, and feature stores using modern cloud technologies (e.g., AWS/GCP/Azure, Snowflake, Databricks). Implement and maintain ML infrastructure, including model versioning, CI/CD for ML, and monitoring tools (MLflow, Airflow, Kubeflow, etc.). Develop and enforce data quality, governance, and security standards. Troubleshoot data issues and support the lifecycle of model development to deployment. Partner with software engineers and DevOps teams to ensure data systems are robust, scalable, and secure. Mentor junior engineers and provide technical leadership on data and ML infrastructure. Qualifications: Required: 5+ years of experience in data engineering, ML infrastructure, or a related field. Proficient in Python, SQL, and big data processing frameworks (Spark, Flink, or similar). Experience with orchestration tools like Apache Airflow, Prefect, or Luigi. Hands-on experience deploying and managing machine learning models in production. Deep knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Familiarity with CI/CD tools for data and ML pipelines. Experience with version control, testing, and reproducibility in data workflows. Preferred: Experience with feature stores (e.g., Feast), ML experiment tracking (e.g., MLflow), and monitoring solutions. Background in supporting NLP, computer vision, or time-series ML models. Strong communication skills and ability to work cross-functionally with data scientists, analysts, and engineers. Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Machine Learning Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary Responsible for designing, developing, and overseeing the implementation of artificial intelligence solutions within an organization. This role involves strategizing the use of AI to solve complex business challenges, ensuring the integration of AI systems with existing infrastructure, and leading initiatives to innovate and improve through AI technologies. Roles & Responsibilities:1. AI architects are responsible for designing data architectures that support the effective deployment of AI models. Involves everything from selecting appropriate data storage technologies, employing efficient data cleansing strategies, and designing data pipelines. 2. Deep understanding of AI and machine learning technologies such as deep learning frameworks, ML algorithms, cognitive computing and natural language processing (NLP) techniques 3. Ensure seamless integration of AI technologies with existing systems and databases, maintaining data integrity and system performance. 4. Continuously evaluate and refine AI systems, ensuring they deliver the desired outcomes and remain up to date with the latest technological advancements. Professional & Technical skills:1. Must have Skills: Knowledge of Agentic AI architecture frameworks including autonomous agents for Simulation in Manufacturing/Engineering. 2. Domain knowledge in areas of Manufacturing Operations - Automotive, Discrete Manufacturing, Consumer Packaged Goods, Life Science etc., 3. Knowledge of Gen AI, VLM, LLM, Agentic AI, architecture framework including autonomous agents for Simulation in Manufacturing/Engineering. 4. Significant experience in AI, machine learning, and data science, with a proven track record of successful AI implementations. 5. Deep understanding of AI technologies, algorithms, and computational statistics. 6. Proficiency in programming languages commonly used in AI, such as Python, R, and Java. along with applied mathematics, ML and Deep Learning frameworks (such as TensorFlow) and ML techniques (such as random forest and neural networks). 7. Understand the workflow and pipeline architectures of ML and deep learning workloads. An in-depth knowledge of components and architectural trade-offs involved across the data management, governance, model building, deployment and production workflows of AI is a must. 8. Software engineering and DevOps principles, including knowledge of DevOps workflows and tools, such as Git, containers, Kubernetes and CI/CD. Additional Information:1. The candidate should have a minimum of 12-16 years of experience in AI/ML field. 2. A 15 years full-time education is required. 3. This position is based at Bengaluru location. 4. Must have good communications skills and ability to manage team members. Qualification 15 years full time education

Company Description CapeStart is a global technology and services company specializing in AI, empowering organizations to compete and thrive in the digital economy. With a focus on healthcare, life sciences, telecom, finance, and more, CapeStart delivers end-to-end solutions in AI/ML, data annotation, software development, research, and medical imaging. Headquartered in the United States with delivery centers in India, CapeStart serves over 100 clients worldwide. Role Description This is a full-time on-site role in Nagercoil for a Digital Marketing Specialist at CapeStart India. The Digital Marketing Specialist will be responsible for Social Media Marketing, Web Analytics, Online Marketing, and Communication tasks on a day-to-day basis. Qualifications Social Media Marketing and Digital Marketing skills Web Analytics and Online Marketing skills Strong Communication skills Experience in digital marketing strategies and campaigns Knowledge of SEO and SEM techniques Experience with web analytics tools like Google Analytics Ability to work collaboratively in a team environment Bachelor's degree in Marketing, Communications, or related field

Write in Python to deliver a wide variety of Machine Learning & Data Science solutions Implement models and algorithms on Databricks and H2O Building tools to accelerate feature experimentation and exploration with lineage, data privacy protection and easier model performance debugging. Collaborate with Product Owners to apply Workdays agile processes and be responsible for the initiation, delivery, and communication of projects for the stakeholder organizations Building ML-as-a-service, with the purpose of taking experiments to production quickly. Share learnings and project findings with the wider Workday Machine Learning Community Willing to work across multiple time zones. What You will Bring Proficient experience in Python coding, SQL, Spark and experience developing models and other data science work with Python 3 - 4+ years of experience implementing models or machine learning algorithms in production Experience on any of these cloud platforms (AWS, Azure, GCP)

P1,C2,STS 6+years of Strong hands-on experience in Machine Learning. Experience in Python coding, Data pre-processing , Data Modelling Good experience in Cloud Platfom, Kuberenetes Experience in SQL queries, Snowflake Should be able to perform an Individual role. skills Machine Learning Data Modelling and Analysis SQL Kubernetes

Skillset Requirements Experience: 3.5–5 years in Python Python Programming: Minimum 3.5 years Machine Learning/NLP: At least 1+ years LLM & GenAI: Minimum 1+ years Database Management: At least 2 years Cloud Deployment: 1+ years on Azure or AWS LLMOps: Familiarity is a plus Key Responsibilities Design, develop, and maintain Python-based ML/AI applications Build and optimize ML/NLP models and integrate into production systems Implement and fine-tune LLMs and GenAI solutions for business needs Design and manage database structures for ML applications and data pipelines Deploy and monitor ML models in cloud environments (AWS/Azure) Collaborate with cross-functional teams for solution delivery Write clean, efficient, and well-documented code Participate in code reviews and provide feedback Troubleshoot and resolve technical issues in production Stay updated with trends in ML, NLP, and GenAI

Walk-In Interview – Faculty Positions (CSE & Emerging Tech): NIET Greater Noida is seeking passionate educators for Assistant Professor, Associate Professor, and Professor roles in our CSE & Emerging Technologies departments. Freshers with an M.E./M.Tech (Ph.D. preferred in CSE or a relevant field, as per AICTE/UGC norms) are encouraged to apply for Assistant Professor positions. Preferred Specialisations: * AI/ML | Data Science/Big Data * Cybersecurity | Cloud Computing * IoT/Blockchain | Programming (C/C++, Java, Python) * CSE/IT fundamentals Date & Time: 6 July 2025, 9:30 AM onwards Venue: NIET Main Campus, Plot 19, Knowledge Park II, Greater Noida Documents to Carry: * Updated Resume * Passport-size Photograph * Copies of Educational Certificates * Experience Letters (if applicable) * Valid ID Proof Don’t miss this opportunity to join an institute committed to innovation and excellence. Walk in with your credentials, meet our academic leadership, and explore your future with NIET! For more information, contact us at +919311337162 or email chetan.teotia@niet.co.in / recruitment@niet.co.in. #NIETHiring #WalkInInterview #FacultyPositions #CSE #EmergingTech #AssistantProfessor #AssociateProfessor #Professor #CareerAtNIET #AcademicJobs #TechEducation #NIET #NIETGreaternoida

Educational Bachelor of Engineering Service Line Enterprise Package Application Services Responsibilities As a Technical Architect, lead the engagement efforts at different stages from problem definition to diagnosis to technical design, development & deployment in large S/4 HANA transformation programs. Create detailed technical design and architecture, and process artifacts, implement the solution and the deployment plan. Connect with senior client business and IT stakeholders, demonstrating thought leadership in New offerings of SAP technology like S/4 HANA, BTP and guiding them on end to end SAP architecture including SaaS and On premise components Contribute to Unit and Organizational initiatives and COEs. Lead the design and implementation of SAP BTP solutions, integrating AI and automation capabilities. Architect and implement SAP solutions that seamlessly integrate with SAP BTP services and components. Provide technical leadership and guidance to the team on BTP architecture and implementation. Design, develop, and implement complex SAP BTP solutions, leveraging services like Cloud Foundry, SAP Integration Suite, and AI/ML capabilities. Additional Responsibilities: Ability to lead large programs and diverse teams across the geographies. Innovative mindset & stay up-to-date on the latest advancements in BTP, AI, and automation technologies. Ability to lead and present proposals and solutions. Strong Client Facing experience, great communication and presentations skills. Strong analytical and decision-making skills Experience in working in Global delivery model (GDM). Ability to lead quality initiatives. Technical and Professional : Minimum 12+ years of SAP extensive experience including SAP ABAP HANA, Fiori or RAP or CAPM, Odata & BTP, Automation & AI/ML. All technical aspects like SAP RAP or CAPM, SAP ABAP OOPS, ODATA, CDS Views, BRF+, S/4 HANA ABAP 7.5 or ABAP on Cloud Coding standards, must have experience in WRICEFS. Good knowledge and experience in one or more functional modules like SD, MM, FICO, EAM, PS, ISU etc. In depth knowledge and experience in Fiori, BTP and integration with 3rd parties Must have done at least one S/4 HANA greenfield or brownfield implementation. Experience with SPAU & SPDD in SAP upgrade and Migration programs. Should possess experience in SAP BTP Administration & BTP Account setup. Experience working on SAP AI Core, AI launchpad, SAP GenAI Hub, SAP Build Portfolio including SAP Build Process Automation, Build Apps & Build Workzone. Experience with API design and management. Preferred Skills: Technology-SAP Technical-SAP Business Technology Platform (SAP BTP)

Educational Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities Responsible for successful delivery of MLOps solutions and services in client consulting environments; Define key business problems to be solved; formulate high level solution approaches and identify data to solve those problems, develop, analyze/draw conclusions and present to client. Assist clients with operationalization metrics to track performance of ML Models Agile trained to manage team effort and track through JIRA High Impact Communication- Assesses the target audience need, prepares and practices a logical flow, answers audience questions appropriately and sticks to timeline. Additional Responsibilities: Master’s degree in Computer Science Engineering, with Relevant experience in the field of MLOps / Cloud Domain experience in Capital Markets, Banking, Risk and Compliance etc. Exposure to US/ overseas markets is preferred Azure Certified – DP100, AZ/AI900 Domain / Technical / Tools KnowledgeObject oriented programming, coding standards, architecture & design patterns, Config management, Package Management, Logging, documentation Experience in Test Driven Development and experience in using Pytest frameworks, git version control, Rest APIs Azure ML best practices in environment management, run time configurations (Azure ML & Databricks clusters), alerts. Experience designing and implementing ML Systems & pipelines, MLOps practices Exposure to event driven orchestration, Online Model deployment Contribute towards establishing best practices in MLOps Systems development Proficiency with data analysis tools (e.g., SQL, R & Python) High level understanding of database concepts/reporting & Data Science concepts Hands on experience in working with client IT/Business teams in gathering business requirement and converting into requirement for development team Experience in managing client relationship and developing business cases for opportunities Azure AZ-900 Certification with Azure Architecture understanding is a plus Technical and Professional : Technical knowledge- has expertise in cloud technologies, specifically MS Azure, and services with hands on coding to – Python Programming - Expert and Experienced - 4 -5 years DevOps Working knowledge with implementation experience - 1 or 2 projects a minimum Hands-On MS Azure Cloud knowledge Understand and take requirements on Operationalization of ML Models from Data Scientist Help team with ML Pipelines from creation to execution List Azure services required for deployment, Azure Data bricks and Azure DevOps Setup Assist team to coding standards (flake8 etc) Guide team to debug on issues with pipeline failures Engage with Business / Stakeholders with status update on progress of development and issue fix Automation, Technology and Process Improvement for the deployed projects Setup Standards related to Coding, Pipelines and Documentation Adhere to KPI / SLA for Pipeline Run, Execution Research on new topics, services and enhancements in Cloud Technologies Preferred Skills: Technology-Machine Learning-Python

Responsible for designing and delivering AI/ML use cases aligned with business needs and extracting actionable insights. EducationBachelors in Data Science, Business Analytics, or related field Skills: Python, Power BI, Azure ML, Databricks Integrations/GenAICollaboration on LLM use cases and prompt design Collaboration ToolsAzure DevOps, Confluence

CREQ224603

AIML Lead/ ArchitectJDDesign, develop, and deploy machine learning models and algorithms using Python. Develop natural language processing (NLP) applications for text analysis and understanding. Utilize analytics workbench tools to create and manage data pipelines and workflows. Collaborate with data scientists, software engineers, and other stakeholders to understand project requirements and deliver effective solutions. Conduct research and stay updated with the latest advancements in AI and ML technologies. Ensure the scalability and performance of AI/ML solutions through rigorous testing and optimization. : Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience as an AI/ML Engineer or similar role. Strong proficiency in Python and its libraries (e.g., TensorFlow, PyTorch, scikit-learn). Experience with NLP frameworks and libraries (e.g., NLTK, spaCy, Transformers). Familiarity with analytics workbench tools and data pipeline management. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Preferred Qualifications: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying AI/ML solutions. Knowledge of Gen AI/ LLMs Preferrable. Certification in AI/ML or related technologies.

Research Engineer position at IBM India Research Lab is a challenging, dynamic and highly innovative role. Some of our current areas of work where we are actively looking for top talent are: Optimized runtime stacks for foundation model workloads including fine-tuning, inference serving and large-scale data engineering, with a focus on multi-stage tuning including reinforcement learning, inference-time compute, and data preparation needs for complex AI systems. Optimizing models to run on multiple accelerators including IBM’s AIU accelerator leveraging compiler optimizations, specialized kernels, libraries and tools. Developing use cases that effectively leverage the infrastructure and models to deliver value Pre-training language and multi-modal foundation models working with large scale distributed training procedures, model alignment, creating specialized pipelines for various tasks including effective LLM-generated data pipelines, creating frameworks for collecting human data and deploying models in user-centric platforms. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise You should have one or more of the following: A master’s degree in computer science, AI or related fields from a top institution 0-8 years of experience working with modern ML techniques including but not limited to model architectures, data processing, fine-tuning techniques, reinforcement learning, distributed training, inference optimizations Experience with big data platforms like Ray and Spark Experience working with Pytorch FSDP and HuggingFace libraries Programming experience in one of the followingPython, web development technologies Growth mindset and a pragmatic attitude Preferred technical and professional experience Peer-reviewed research at top machine learning or systems conferences Experience working with pytorch.compile, CUDA, triton kernels, GPU scheduling, memory management Experience working with open-source communities

Research Scientist position at IBM India Research Lab is a challenging, dynamic and highly innovative role, where you will be responsible for coming up with new innovative ideas, developing solutions working as a team, building prototypes, publishing research papers and demonstrating the value of your ideas in an enterprise setting. Some of our current areas of work where we are actively looking for top researchers are: Optimized runtime stacks for foundation model workloads including fine-tuning, inference serving and large-scale data engineering, with a focus on multi-stage tuning including reinforcement learning, inference-time compute, and data preparation needs for complex AI systems. Optimizing models to run on multiple accelerators including IBM’s AIU accelerator leveraging compiler optimizations, specialized kernels, libraries and tools. Innovative use cases that effectively leverage the infrastructure and models to deliver value Pre-training language and multi-modal foundation models working with large scale distributed training procedures, model alignment, and creating specialized pipelines for various tasks including effective LLM-generated data pipelines. Required education Bachelor's Degree Required technical and professional expertise You should have one or more of the following: A master’s degree in computer science, AI or related fields from a top institution 0-8 years of experience working with modern ML techniques including but not limited to model architectures, data processing, fine-tuning techniques, reinforcement learning, distributed training, inference optimizations Experience with big data platforms like Ray and Spark Experience working with Pytorch FSDP and HuggingFace libraries Programming experience in one of the followingPython, web development technologies Growth mindset and a pragmatic attitude Preferred technical and professional experience Peer-reviewed research at top machine learning or systems conferences Experience working with pytorch.compile, CUDA, triton kernels, GPU scheduling, memory management Experience working with open-source communities

As a Watson AI Developer, you would be responsible for developing and deploying challenging AI /Chatbot solutions using IBM Watson suite of products with flair knowledge on Python/Java. Be a trusted Advisor of the Customer for AI / Conversational use cases. Work for smooth delivery of assigned projects Research and implement appropriate Watson AI algorithms and tools Design and solutioning of new requirements Develop machine learning applications according to requirements Ability to work independently and as part of a team in a fast-paced, dynamic development environment. Mentor / lead team in the engagements Be a hands-on person and deliver. Will be involved in product installation/ configurations, troubleshooting (performance, 3rd party integrations, security) Based on customer requirements, deliver the deployment Work across timezones based on customer requirements Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise 10+ years’ experience of overall experience 4+ years Experience in AI and ML technology Knowledge on Generative AI Watson Assistant, Watson Discovery, Watson Studio, Watsonx.ai ETL Databand Soul Machines Digital Avatar Integrations Any courses on Cloud, IBM products from coursera, Udemy, IBM cognitive etc Quick Learner, willingness to learn, hardworking and explore/pick-up the skills on their own. Working knowledge on Linux (RHEL, CoreOS, Ubuntu) Deploying software’s on top of Linux and troubleshoot linux related issues. Good hands-on Shell scripting, Python, Ansible, Java Working knowledge with Git, eclipse, docker/podman, kubernets, Jenkins. Knowledge on Dev/ops & Monitoring. Preferred technical and professional experience NA

As a key member of our dynamic team, you will play a vital role in crafting exceptional software experiences. Your responsibilities will encompass the design and implementation of innovative features, fine-tuning and sustaining existing code for optimal performance, and guaranteeing top-notch quality through rigorous testing and debugging. Collaboration is at the heart of what we do, and you'll be working closely with fellow developers, designers, and product managers to ensure our software aligns seamlessly with user expectations. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise * 2-4 years of hands-on experience with 2 or more of the following languagesJava, JavaScript, TypeScript, Kotlin, Python * Experience with web development, API's, and web services* Exposure to AI/ML framework for app development LangChain, CrewAI, and LlamaIndex, others * Exposure to Cloud deployment technologies Kubernetes, AWS, Azure, others * Integration skills with SQL / NoSQL databases (DB2 and Couchbase) backend infrastructure to pull data that feeds insights Preferred technical and professional experience * Exposure to Agile development practices * Having knowledge with EDI software infrastructures * Knowledge in distributed systems and SaaS infrastructure * Knowledge in SaaS automation and monitoring tools * Familiarity with various file transfer protocol standards like FTP(S), SFTP, HTTP(s), REST

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Computer Vision Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :Accenture Center for Advance AI (CAAI) focuses on building scalable enterprise AI and Gen AI based solutions for various industries such as - Financial Services, Utilities, Energy, Manufacturing, Retail, Communications, Heath & Public Services, and Products. The Applied AI Research and Innovation Group, within CAAI, is focusing on foundational and applied research in the various fields of AI Gen AI, Model building/training/finetuning, Agentic AI, etc. to develops offerings which can be utilized for complex and challenging client delivery projects. We are hiring an AI Research and Innovation Sr. Principal to focus on model refinement, including fine-tuning, alignment, safety, and evaluation of AI models. This role is critical for ensuring our models are robust, responsible, and aligned with human values. Roles & Responsibilities:- Lead efforts in supervised fine-tuning, reinforcement learning from human feedback (RLHF), and instruction tuning. Innovate on techniques for continual learning and domain adaptation.-- Understand LLM fine tuning techniques such as PEFT, LoRA, QLoRA etc-- Develop evaluation frameworks for model safety, bias, and performance.- Collaborate with multiple stakeholders like policy and Responsible AI teams to ensure responsible AI practices, consulting team to provide technical depth in AI, studio team to position our findings for client pitches, business team to arrive at a research roadmap, academia and industry partners for pushing the research boundaries.- Publish and present novel and innovative research findings in top AI venues.- Develop an internal AI talent and foster a culture of continuous learning across practice and organization. Mentor a team of researchers and engineers.- Support client engagements by providing consulting and solutioning for complex client problems by brining in niche AI skills and utilizing advanced internal and external frameworks and accelerators. Professional & Technical Skills: - A Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics and Statistics from premium institutes IITs, IISc, IIIT and ISI- Overall experience 10-12 years and Relevant experience (post PhD) 5+ years.- Experience with evaluation metrics and safety benchmarks.- Familiarity with human-in-the-loop systems and feedback collection.- Multi Modal AI Model Building and Fine tuning- Proven track record of innovation and publications. Additional Information:- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

JD:ML Developers to build prod-ready models that will help with content extraction and classification from images and text based sources. Should have worked on projects related to Intelligent document processing using open source models. Work with business and transformation teams to understand & formulate application specific design. Collaborative with product managers, technical teams. Create, test and iterate new and existing products and features. Design and Build Python/ML/OCR-based components. Completes applications development by coordinating requirements, schedules, and activities; contributing to team meetings, troubleshooting development and production problems across multiple environments and operating platforms. Should be able to troubleshoot development and production problems across multiple environments and operating platforms. Experience is preferred in Agile/DevOps areas.

Gen AI IT is a global leader in industrial packaging products and services. We are committed to providing innovative solutions that enhance our customers productivity and sustainability. Our team is dedicated to excellence, and we strive to create a collaborative and inclusive work environment. Position Overview: It is seeking a skilled and motivated AI Engineer to join our dynamic team. The ideal candidate will have 2 to 4 years of experience in developing and deploying GenAI and AI/ML solutions to production. This requires hands on experience with no code, low code, and SDKs to build AI systems. The candidate should be proficient in working with data platforms such as Microsoft Azure, Snowflake, GenAI platform such as Azure AI Foundry, Azure OpenAI, Copilot Studio, and ChatGPT. The ability to manage small projects with minimal supervision and a working knowledge of the Agile methodology are essential. The candidate must be comfortable with ambiguity and a fastpaced PoC (Proof of Concept) delivery schedule. KeyResponsibilities: Focus on designing and developing proof of concepts (PoCs) and demonstrate the solution on a tight schedule. Utilize GenAI no code, low code, and SDKs to build robust GenAI agents that automate business processes. Work with data platforms such as Microsoft Azure, Snowflake, and integration services like Azure Data Factory to build agentic workflow Embed/integrate GenAI agents (Copilot agents) into business platforms such as Workday, Teams, etc. Manage small to medium-sized projects with minimal supervision. Apply Agile methodology to ensure efficient project delivery. Make informed decisions under uncertainty and adapt to changing project requirements. Qualifications: Bachelor or master degree in AI, computer science, Engineering, mathematics or a related field. 2 to 4 years of experience in developing and deploying AI/ML solutions to production. Hands on experience with no code, low code, and SDKs for AI system development. Proficiency in data platforms such as Microsoft Azure, Snowflake, and integration services like Azure Data Factory. Experience with Azure Cloud, Azure AI Foundry, Copilot Studio, and frameworks such LangChain, LangGraph, MCP for building agentic systems. Strong understanding of Agile methodology and project management. Ability to manage projects independently and make decisions under ambiguity. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Preferred Skills: Automation of complex processes using GenAI agents, especially using the Azure GenAI echo system Advanced Python programming. Handson experience with data storage systems, especially Snowflake, Azure Data Factory, Azure Fabric, and Azure Synapse Building Copilot agents and embedding them into systems such as Workday, Teams, etc. Mandatory Skills Gen AI Python data storage systems - especially Snowflake, Azure Data Factory, Azure Fabric, and Azure Synapse

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Computer Vision Good to have skills : NAMinimum 18 year(s) of experience is required Educational Qualification : 15 years full time education Summary :Accenture Center for Advance AI (CAAI) focuses on building scalable enterprise AI and Gen AI based solutions for various industries such as - Financial Services, Utilities, Energy, Manufacturing, Retail, Communications, Heath & Public Services, and Products. The Applied AI Research and Innovation Group, within CAAI, is focusing on foundational and applied research in the various fields of AI Gen AI, Model building/training/finetuning, Agentic AI, etc. to develops offerings which can be utilized for complex and challenging client delivery projects.AI Research and Innovation Lead Agentic AI (Experienced PhDs from Premium Institutes) - We are seeking a visionary AI Research and Innovation Lead to spearhead our efforts inAgentic AIdeveloping autonomous, goal-driven AI systems capable of reasoning, planning, and interacting in complex environments. This role is ideal for a thought leader passionate about pushing the boundaries of intelligent agents. Roles & Responsibilities:-Lead R&D in agentic architectures, autonomous agents, including planning, memory, tool use, and self-reflection, human agent collaboration, model/agent drift detection.-Design and prototype autonomous agents for real-world applications (e.g., enterprise automation, digital assistants, healthcare autonomous agents).-Collaborate with solutioning, delivery and engineering teams to integrate agentic capabilities into scalable systems across various industries, collaborate with Responsible AI team to ensure the polices are baked in the solutions, consulting team to provide technical depth in AI, academia and industry partners for pushing the research boundaries.-Publish and present novel and innovative research findings in top AI venues.-Develop a larger AI talent and foster a culture of continuous learning across practice and organization. Mentor a team of researchers and engineers.-Support client engagements by providing consulting and solutioning for complex client problems by bringing in niche AI skills and utilizing advanced internal and external frameworks and accelerators. Professional & Technical Skills: -A Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics and Statistics from premium institutes IITs, IISc, IIIT and ISI-Overall experience 10-15 years and Relevant experience (post PhD) 5+ years.-Deep expertise in reinforcement learning, autonomous agents, and multi-agent systems.-Strong understanding of LLMs and their integration into agentic workflows.-Experience with frameworks like LangChain, AutoGPT, or similar.-Proven track record of innovation and publications. Additional Information:- The candidate should have minimum 18 years of experience in Computer Vision.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Natural Language Processing (NLP) Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :Accenture Center for Advance AI (CAAI) focuses on building scalable enterprise AI and Gen AI based solutions for various industries such as - Financial Services, Utilities, Energy, Manufacturing, Retail, Communications, Heath & Public Services, and Products. The Applied AI Research and Innovation Group, within CAAI, is focusing on foundational and applied research in the various fields of AI Gen AI, Model building/training/finetuning, Agentic AI, etc. to develops offerings which can be utilized for complex and challenging client delivery projects. We are seeking a visionary AI Research and Innovation Principal to spearhead our efforts in Agentic AIdeveloping autonomous, goal-driven AI systems capable of reasoning, planning, and interacting in complex environments. This role is ideal for a thought leader passionate about pushing the boundaries of intelligent agents. Roles & Responsibilities:- Lead R&D in agentic architectures, autonomous agents, including planning, memory, tool use, and self-reflection, human agent collaboration, model/agent drift detection.- Design and prototype autonomous agents for real-world applications (e.g., enterprise automation, digital assistants, healthcare autonomous agents).- Collaborate with solutioning, delivery and engineering teams to integrate agentic capabilities into scalable systems across various industries, collaborate with Responsible AI team to ensure the polices are baked in the solutions, consulting team to provide technical depth in AI, academia and industry partners for pushing the research boundaries.- Publish and present novel and innovative research findings in top AI venues.- Develop a larger AI talent and foster a culture of continuous learning across practice and organization. Mentor a team of researchers and engineers.- Support client engagements by providing consulting and solutioning for complex client problems by bringing in niche AI skills and utilizing advanced internal and external frameworks and accelerators. Professional & Technical Skills: - A Ph.D. in Computer Science, Electrical Engineering, Electronics, Electronics and Communication, Data Science/AI, Mathematics and Statistics from premium institutes IITs, IISc, IIIT and ISI.- Overall experience 8-10 years and Relevant experience (post PhD) 5+ years.- Deep expertise in reinforcement learning, autonomous agents, and multi-agent systems.- Strong understanding of LLMs and their integration into agentic workflows.- Experience with frameworks like LangChain, AutoGPT, or similar.- Proven track record of innovation and publications. Additional Information:- The candidate should have minimum 15 years of experience in Computer Vision.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Description Retail Business Services (RBS) supports Amazon’s Retail business growth WW through three core tasks. These are (a) Selection, where RBS sources, creates and enrich ASINs to drive GMS growth; (b) Defect Elimination: where RBS resolves inbound supply chain defects and develops root cause fixes to improve free cash flow and (c) supports operational process for WW Retail teams where there is an air gap in the tech stack. The tech team in RBS develops automation that leverages Machine/Deep Learning to scale execution of these high complex tasks that currently require human cognitive skills. Our solutions ensure that information in Amazon's catalog is complete, correct and, comprehensive enough to give Amazon customers a great shopping experience every time. That's where you can help. We believe in “Work Hard. Have Fun. Make History” value by having a focus on sharing learning experiences from the front line with the development teams. So, the options for people in the team are vast. If you like mastering a domain and going deep, we need you. If you can juggle three tasks and coordinate with multiple people in the heat of an incident, we need you. If you love the benefits of process and methodical improvement, you will love it here. If you want to keep your head down, headphones on, and bash out code to support the team, we have a spot for you too. We challenge one another every day and hold ourselves accountable for our work product as well as our customer's overall success. We all enjoy the interactions with the customers, problem solving, digging into complex issues. We wake up every morning asking ourselves how we can improve the customer's experience, the quality of our product, the quality of our support system, or our individual weaknesses. We are not scared of challenges, nor do we back down or get deterred by tough problems. When problems seem the hardest we are at our best, we work harder to find the root cause and a solution. Work/Life Balance RBS Tech team puts a high value on work-life harmony. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and we encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring, detailed and constructive code reviews. We have casual coffee chats with Principal & Senior Engineers from RBS tech where you could have technical conversations around your work, technical challenges, suggestions, ideas and proposals and also seek advice and discuss about things outside work, like, life in general, your family, hobbies etc. We provide trainings to the employees through online learning platforms such as O'reilly and also encourage them to take up AWS/ML certifications. Key job responsibilities We are looking for a sharp, experienced Business Analyst(BA) with a diverse skillset and background. As a BA, you will work directly with our business stakeholders to understand their processes, gather and document requirements, and identify solutions to address their needs. Using data analytics technologies and best practices, you will play a key part in translating business requirements into functional specifications and collaborating with technical teams to build scalable systems. You will be responsible for uncovering root causes, trends, and patterns that impact the business, leveraging dashboards and visualizations to provide insights. You will thrive in an agile, fast-paced environment, tackling unstructured and ambiguous problems on highly visible projects and initiatives. You will work with teams to understand key business problems/process to create BRD and build reports that enable product owners to answer those questions quickly and accurately. You will work with cross-functional leaders to understand their process and data needs and partner with them to build data solutions. About The Team Retail Business Services (RBS) supports Amazon’s Retail business growth WW through three core tasks. These are (a) Selection, where RBS sources, creates and enrich ASINs to drive GMS growth; (b) Defect Elimination: where RBS resolves inbound supply chain defects and develops root cause fixes to improve free cash flow and (c) supports operational process for WW Retail teams where there is an air gap in the tech stack. The tech team in RBS develops automation that leverages Machine/Deep Learning to scale execution of these high complex tasks that currently require human cognitive skills. Basic Qualifications 4+ years of tax, finance or a related analytical field experience 3+ years of business or financial analysis experience Experience making business recommendations and influencing stakeholders Experience on defining requirements, creating business requirement document, understanding business process and using data and metrics to draw business insights Proficiency in SQL, ETL management, Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualisation tools such as Tableau experience Preferred Qualifications MBA or Master’s degree in Computer Science, Engineering, Statistics, Mathematics or related field Extensive experience in a data engineer or BIE role with a technology company. Experience with statistical modelling / machine learning. Coding proficiency in at least one modern programming language (Python, Ruby, Java, etc) High attention to detail and proven ability to manage multiple, competing priorities simultaneously. Ability to work in a fast-paced environment where continuous innovation is desired. History of teamwork and willingness to roll up one’s sleeves to get the job done. 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 - BLR 14 SEZ Job ID: A2935689

Description Retail Business Services (RBS) supports Amazon’s Retail business growth WW through three core tasks. These are (a) Selection, where RBS sources, creates and enrich ASINs to drive GMS growth; (b) Defect Elimination: where RBS resolves inbound supply chain defects and develops root cause fixes to improve free cash flow and (c) supports operational process for WW Retail teams where there is an air gap in the tech stack. The tech team in RBS develops automation that leverages Machine/Deep Learning to scale execution of these high complex tasks that currently require human cognitive skills. Our solutions ensure that information in Amazon's catalog is complete, correct and, comprehensive enough to give Amazon customers a great shopping experience every time. That's where you can help. We believe in “Work Hard. Have Fun. Make History” value by having a focus on sharing learning experiences from the front line with the development teams. So, the options for people in the team are vast. If you like mastering a domain and going deep, we need you. If you can juggle three tasks and coordinate with multiple people in the heat of an incident, we need you. If you love the benefits of process and methodical improvement, you will love it here. If you want to keep your head down, headphones on, and bash out code to support the team, we have a spot for you too. We challenge one another every day and hold ourselves accountable for our work product as well as our customer's overall success. We all enjoy the interactions with the customers, problem solving, digging into complex issues. We wake up every morning asking ourselves how we can improve the customer's experience, the quality of our product, the quality of our support system, or our individual weaknesses. We are not scared of challenges, nor do we back down or get deterred by tough problems. When problems seem the hardest we are at our best, we work harder to find the root cause and a solution. Work/Life Balance RBS Tech team puts a high value on work-life harmony. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and we encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring, detailed and constructive code reviews. We have casual coffee chats with Principal & Senior Engineers from RBS tech where you could have technical conversations around your work, technical challenges, suggestions, ideas and proposals and also seek advice and discuss about things outside work, like, life in general, your family, hobbies etc. We provide trainings to the employees through online learning platforms such as O'reilly and also encourage them to take up AWS/ML certifications. Key job responsibilities We are looking for a sharp, experienced Business Analyst(BA) with a diverse skillset and background. As a BA, you will work directly with our business stakeholders to understand their processes, gather and document requirements, and identify solutions to address their needs. Using data analytics technologies and best practices, you will play a key part in translating business requirements into functional specifications and collaborating with technical teams to build scalable systems. You will be responsible for uncovering root causes, trends, and patterns that impact the business, leveraging dashboards and visualizations to provide insights. You will thrive in an agile, fast-paced environment, tackling unstructured and ambiguous problems on highly visible projects and initiatives. You will work with teams to understand key business problems/process to create BRD and build reports that enable product owners to answer those questions quickly and accurately. You will work with cross-functional leaders to understand their process and data needs and partner with them to build data solutions. About The Team Retail Business Services (RBS) supports Amazon’s Retail business growth WW through three core tasks. These are (a) Selection, where RBS sources, creates and enrich ASINs to drive GMS growth; (b) Defect Elimination: where RBS resolves inbound supply chain defects and develops root cause fixes to improve free cash flow and (c) supports operational process for WW Retail teams where there is an air gap in the tech stack. The tech team in RBS develops automation that leverages Machine/Deep Learning to scale execution of these high complex tasks that currently require human cognitive skills. Basic Qualifications 4+ years of tax, finance or a related analytical field experience 3+ years of business or financial analysis experience Experience making business recommendations and influencing stakeholders Experience on defining requirements, creating business requirement document, understanding business process and using data and metrics to draw business insights Proficiency in SQL, ETL management, Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualisation tools such as Tableau experience Preferred Qualifications MBA or Master’s degree in Computer Science, Engineering, Statistics, Mathematics or related field Extensive experience in a data engineer or BIE role with a technology company. Experience with statistical modelling / machine learning. Coding proficiency in at least one modern programming language (Python, Ruby, Java, etc) High attention to detail and proven ability to manage multiple, competing priorities simultaneously. Ability to work in a fast-paced environment where continuous innovation is desired. History of teamwork and willingness to roll up one’s sleeves to get the job done. 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 - BLR 14 SEZ Job ID: A3000666

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Operations Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Machine Learning Engineer/MLOps Expert, you will engage in the operationalization of Machine Learning Models that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready ML system, ensuring high-quality standards are met. Roles & Responsibilities:- Continuously evaluate and improve existing processes to enhance efficiency.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team skills and capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - ML Pipeline Development:Design, build, and maintain scalable pipelines for model training to support our AI initiatives.- Model Deployment & Serving:Deploy machine learning models as robust, secure services containerize models with Docker and serve them via FastAPI on AWS ensuring low-latency predictions for marketing applications. Manage Batch inference and Realtime inference.- CI/CD Automation:Implement continuous integration and delivery (CI/CD) pipelines for ML projects. Automate testing, model validation, and deployment workflows using tools like GitHub Actions to accelerate delivery.- Model Lifecycle Management:Orchestrate the end-to-end ML lifecycle, including versioning, packaging, and registering models. Maintain a model repository/registry (MLflow or similar) for reproducibility and governance from experimentation through production. Experience on MLFlow and Airflow is mandatory- Monitoring & Optimization:Monitor model performance, data drift, and system health in production. Set up alerts and dashboards and proactively initiate model retraining or tuning to sustain accuracy and efficiency over time.- Must To Have Skills: Proficiency in Machine Learning Operations.- Strong understanding of cloud-based AI services and deployment strategies.- Should have Multi Cloud skills- Experience with Machine learning frameworks- Ability to implement and optimize machine learning models for production environments. Additional Information:- The candidate should have minimum 5 years of experience in Machine Learning Operations.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Data Science Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore innovative approaches to integrate generative AI models into various projects, contributing to advancements in deep learning, neural networks, and image processing technologies. Your role will require a balance of technical expertise and creative problem-solving to address complex challenges in the field of artificial intelligence. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior professionals to enhance their skills and knowledge in AI and machine learning.- Continuously evaluate and improve existing processes and systems to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong understanding of machine learning algorithms and their applications.- Experience with cloud-based AI services and deployment strategies.- Familiarity with programming languages such as Python or R for data analysis.- Knowledge of data visualization techniques to present insights effectively. Additional Information:- The candidate should have minimum 7.5 years of experience in Data Science.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education