1456 Generative Ai Jobs - Page 49

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose - the relentless pursuit of a world that works better for people - we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Assistant Vice President - Procure to Pay- GPO In this role, GPO lead is responsible for directing and executing GPO roadmap that solves the business problems/opportunities of the key customer(s) in the F&A domain through the usage of methodologies like Lean, Six Sigma, Business process re-engineering, and by combining technology solutions like Automation Anywhere, Blue Prism, etc. In this role, you would be responsible for the effective delivery of planned Digital projects, RPA bots, AIML projects and Six Sigma projects working with cross-functional global leads including the digital delivery team, and client leadership successfully. This role may involve directly managing the account or reporting to an account manager, but the responsibility of planning and delivering the GPO strategy would be with the lead role. Responsibilities . Thorough Continuous Improvement, delivery on committed productivity, productivity improvement in account and Bad Bench reduction . Champion the implementation and adoption of standard Global Processes . Support and deliver operational excellence and automation and implement best practices and drive efficiency and standardization as approved by . Assess new Laws, policies and practices, organization changes and the impact on the Global Processes and communicate such changes and impact to client . Lead and be responsible for all trainings and knowledge transfer relating to the GPO Services . Create Transformation Road Map and deliver projects aligned with client . Deploy RPA, Macros, Visualizations dashboards and Lean Six sigma, COE projects for mitigating process issues and improving Operational efficiencies identified across towers . Design, implement, test and complete all In-Scope CI Projects . Engage and leverage lean six sigma practices and processes . Support Operations to meet key transformation objectives of client and deliver required business value, productivity . Identify and log Issues and Incidents, perform Root Cause Analysis and determine root causes that are leading to Issues recommend process and System improvements and resolve Issues and Incidents . Manage client relationship and deliver transformation roadmap. . Lead large teams for transformation resources to deliver program. . Drive deployment of AIML tools in operations to improve process performance, metric improvement and deliver business value. Qualifications we seek in you! Minimum Qualifications . Experience in Oracle Fusion, Tririga, SAP, S4Hana, Service Now etc. or similar technology and technology deployments . Experience in driving RPA program and deploying RPA across platforms . Extensive experience in Procure to Pay domain, should have lead transformation across all sub-processes like Account Payable, Payments etc. . Experience in driving continuous improvement using Lean, Six Sigma Methodology . Experience in managing client discussion and driving large transformation programs . Experience in deploying AIML or Generative Ai solution and driving analytics programs . Project Management skills - Strong Influencing skills and clarity of thought on effective project management are required . People Leadership: Ability to coach & mentor people. Ability to effectively influence & motivate others and Ability to work in diverse teams and with multiple stakeholders . Delivers oral and written communications that have clarity and impact . Creates a team environment of accountability and commitment for reaching project goals . Must be able to work in dynamic and tight deadlines to meet the project schedule . Exposure to business metric improvement initiatives like close optimization . Understanding of Defining SLA/KPI and linking it to business metrics . Experienced Process improvement and Automation expert with domain exposure in F&A Preferred Qualifications/ Skills . Lean Six Sigma- GB / BB certification . Exposure to AIML certification would be added advantage . Tenured experience leading transformation Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. For more information, visit www.genpact.com . Follow us on Twitter, Facebook, LinkedIn, and YouTube. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos AI Gigafactory, our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Assistant Vice President - Record to Report- GPO In this role, GPO lead is responsible for directing and executing GPO roadmap that solves the business problems/opportunities of the key customer(s) in the F&A domain through the usage of methodologies like Lean, Six Sigma, Business process re-engineering, and by combining technology solutions like Automation Anywhere, Blue Prism, etc. In this role, you would be responsible for the effective delivery of planned Digital projects, RPA bots, AIML projects and Six Sigma projects working with cross-functional global leads including the digital delivery team, and client leadership successfully. This role may involve directly managing the account or reporting to an account manager, but the responsibility of planning and delivering the GPO strategy would be with the lead role. Responsibilities . Thorough Continuous Improvement, delivery on committed productivity, productivity improvement in account and Bad Bench reduction . Champion the implementation and adoption of standard Global Processes . Support and deliver operational excellence and automation and implement best practices and drive efficiency and standardization as approved by . Assess new Laws, policies and practices, organization changes and the impact on the Global Processes and communicate such changes and impact to client . Lead and be responsible for all trainings and knowledge transfer relating to the GPO Services . Create Transformation Road Map and deliver projects aligned with client . Deploy RPA, Macros, Visualizations dashboards and Lean Six sigma, COE projects for mitigating process issues and improving Operational efficiencies identified across towers . Design, implement, test and complete all In-Scope CI Projects . Engage and leverage lean six sigma practices and processes . Support Operations to meet key transformation objectives of client and deliver required business value, productivity . Identify and log Issues and Incidents, perform Root Cause Analysis and determine root causes that are leading to Issues recommend process and System improvements and resolve Issues and Incidents . Manage client relationships and deliver transformation roadmap . Lead large teams for transformation resources to deliver program . Drive deployment of AIML tools in operations to improve process performance, metric improvement and deliver business value Qualifications we seek in you! Minimum Qualifications . Experience in Oracle Fusion, Tririga, Blackline, Service Now etc. or similar technology and technology deployments . Experience in driving RPA program and deploying RPA across platforms . Extensive experience in the Record to Report domain should have led transformation across all sub-processes like Manual Journals, Fixed Asset, Reconciliation etc. . Experience in driving continuous improvement using Lean, Six Sigma Methodology . Experience in managing client discussion and driving large transformation programs . Experience in deploying AIML or Generative AI solution and driving analytics programs . Project Management skills -Strong Influencing skills and clarity of thought on effective project management are required . People Leadership: Ability to coach & mentor people. Ability to effectively influence & motivate others and Ability to work in diverse teams and with multiple stakeholders . Delivers oral and written communications that have clarity and impact . Creates a team environment of accountability and commitment for reaching project goals . Must be able to work in dynamic and tight deadlines to meet the project schedule . Exposure to business metric improvement initiatives like close optimization . Understanding of Defining SLA/KPI and linking it to business metrics . Experienced Process improvement and Automation expert with domain exposure in F&A Preferred Qualifications/ Skills . Lean Six Sigma- GB / BB certification . Exposure to AIML certification would be added advantage . Tenured experience leading transformation Why join Genpact . Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation . Make an impact - Drive change for global enterprises and solve business challenges that matter . Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities . Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day . Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

DO NOT APPLY WITHOUT UNDERSTANDING THE ENTIRE JOB DESCRIPTION We are Hiring a Senior Data Scientist for a Leading Fortune 500 Manufacturing Brand Location: Mumbai Experience: Minimum 8 years in Data Science - AI/ML Education: M.E / M.Tech in Computer Science/ IT/ Data Science/ with persuasion of PhD Job Description: - Sr. Data Scientist will be required to build hypothesis, research, prototype, design, develop, and help implement enterprise level ML/ AI/Gen AI models for projects to transform and improve companys business results and competitive position & ensure alignment to the overall digital, data & AI strategy and current and future business objectives. Contribution to Data & AI Platform and Products Work within Digital Data AI Team in development of data science & AI capabilities and features to support delivery on defined objectives around platform aspects Design, implement, and evolve robust, secure and quality solutions that operate for the business ecosystem. Research, design & development of High-Quality Data, AI and analytical systems Define exploratory data analysis (EDA) keeping in line with problem necessities Ensure the development of quality procedures and standards products and supervising tests. Work on various data correction problems such as data cleansing, sourcing and integrating from multiple platforms to make the good data available for data analysis , data science & AI development Provide and help deliver the Solutions Hands on contribution to provide solutions and POCs , working in cross- functional or agile teams to develop and deliver significant aspects of the models and systems. Lead and mentor junior data scientists and ensure availability of necessary data and analysis as needed by business requirement and use cases. Conduct diagnostic across existing data and make future state recommendations in regular intervals. Collaborate with Business Analyst, Data scientists, Data Engineers and Data Analysts to ensure understanding and alignment between business needs and technical implementation. Monitor performance of existing solutions across use cases to identify and drive optimization. Oversee and Research, develop and analyse NLP, Gen AI , computer vision algorithms in Various use cases. Ensure model robustness, model generalization, accuracy, testability, and efficiency. Write product or system development code. Contributing via understanding of machine learning techniques and algorithms, including clustering, anomaly detection, optimization, neural network etc Responsible for deploying AI/ML models (ML Ops) in standalone and cloud based systems and services. Support Projects and Initiatives Help in Collaboration with business unit heads and corporate functions to identify and assist in providing data analysis support across different projects Identify data from legacy systems, to build new solutions based on requirement Provide necessary technical support in new and ongoing digital initiatives to ensure seamless data solutioning. Requisite Experience Essential Minimum 10 Yrs with of experience in data analytics & data science, building, and maintaining various ML models. Good know how of emerging small and larger models 3 to 5 + years of experience in each of the Data Science specialization like NLP, Demand Forecasting, ML Ops Should be able to present portfolio of data science work or use cases Preferred Sound understanding of Data analysis to support the preparatory work Experience working in the agile Environment. Know how/ Familiarity in all aspects of MLOps (source control, continuous integration, deployments, etc.) Experience/ Exposure with Cloud data services like AWS or Azure Special Skills Required Functional: Excellent understanding of machine learning techniques and algorithms, including clustering, anomaly detection, optimization, neural network etc. Strong hands-on coding skills in Python, processing large-scale data set and developing machine learning models. Experience programming in Python, R, and SQL Expertise in developing ML models and deployment of the same Hands on working on developing NLP models using transformers and computer vision. Know-how of deploying AI/ML models (ML Ops) in standalone and cloud-based systems and services. Comfortable working with DevOps: Jenkins, Bitbucket, CI/CD SQL Server experience required Understanding of, dimensional data modelling, structured query language (SQL) skills, data warehouse and reporting techniques Data Governance & Ethics Leadership: Strong analytical skills, ability to ask right questions, analyse data and draw conclusion by making appropriate assumptions, to solve and model complex business requirements Ability to lead team of junior data scientists, get into the details of the problem and ability to code the solution hands on as and when needed Planning & Organizing Present complex data analysis in consumable way and Engage the stakeholders Ability to collaborate with different teams and clearly communicate solutions to both technical and non-technical team members Team player

We are looking for quality resources with 3-4 years of experience along with the below JD: Should be Proficient in Python AI Frameworks , Generative AI, Responsible AI, and Applied Machine Learning. Experienced with Vector Databases, LLMS, Exposure on Generative AI - Retrieval-Augmented Generation (RAG) ,Knowledge on AG systems using LangChain & LlamaIndex,Embedding,Prompt Engineering,Intelligent Automation experience IN QA Analyst specializing in testing LLM Models, Traditional ML Models, Azure Databricks, Azure Data Lake, Snowflake, Snowpark, Hadoop, Big Data Technologies, ETL (ADF), Expertise in testing Machine Learning Models and developing Automation Test Frameworks for ETL Projects

Looking for a culture to thrive & build a rewarding career for yourself, join the core team of young hustlers building the next generation of Machine Learning platform & services. You will develop training and deployment pipelines for machine learning, implement model compression algorithms, and productionize machine learning research solving challenging business problems. We are Hiring Machine Learning Engineers at goML! Key Responsibilities: Design and develop generative AI models using techniques like RAG, transformers, and other relevant approaches. Fine-tune pre-trained LLMs for specific tasks and domains. Conduct research on new techniques for improving the performance and capabilities of generative AI models. Apply software engineering rigor and best practices to machine learning /Generative AI pipelines. Evaluate and analyse the performance of ML/generative AI models. Stay up to date on the latest advancements in generative AI research. Facilitate the development and deployment of proof-of-concept Generative AI systems. Qualifications: Bachelors/Masters degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. 3-8 years of experience in generative AI or related fields. Experience in building data pipelines, deploying ML/GenAI models in production, and monitoring and maintaining their performance. Strong programming skills in Python. Familiarity with RAG and other techniques for building generative models. Extensive experience with Git, Docker and a good understanding of Linux for managing servers. Experience with cloud-based ecosystems, especially AWS ML/GenAI services. Exposure to ML/GenAI frameworks and tools. Excellent communication and collaboration skills. Ability to work independently and in a team-oriented environment. Methodical and meticulous towards work and planning.

Role: Data Science Leader Experience: 10-15 years of overall experience, with at least 5+ years in Data science roles along with 24 years in a Leadership or Managerial capacity. Technical Skills: Data Science & Machine Learning Deep understanding of statistical modeling, predictive analytics, clustering, NLP, and time series forecasting. Strong grasp of model evaluation, fairness, explainability, and business alignment. Programming Proficient in Python (or R) with experience in data science libraries like pandas, NumPy, scikit-learn, TensorFlow, or PyTorch. Ability to read and review code, debug, and advise on best practices. Cloud Computing Working knowledge of at least one major cloud platform (AWS, GCP, Azure). Experience with cloud-native tools for data storage (S3, BigQuery), compute (EC2, GKE, Lambda), and ML services (SageMaker, Vertex AI, Azure ML). Data Engineering Fundamentals Understanding of data pipelines, ETL/ELT processes. Familiarity with tools like Airflow, dbt, Spark, SQL. Data Visualization Experience with dashboards and reporting tools (Tableau, Power BI, Looker, or custom visualizations using Plotly/Altair). Skilled in transforming complex outputs into clear, compelling narratives for non-technical stakeholders. MLOps / Deployment Familiarity with modern ML development and deployment practices. Basic understanding of deploying models to production, CI/CD pipelines, and monitoring. Generative AI Familiarity with GenAI concepts, including large language models (LLMs), embeddings, prompt engineering, and RAG pipelines. Familiarity with tools and APIs like OpenAI, Hugging Face, LangChain. Leadership & People Management Team Management Experience leading and mentoring teams of 510 individuals across varying levels. Proven track record of building and scaling Data science teams, delivering impactful projects Conduct performance reviews, manage career growth, and foster a healthy team culture. Cross-Functional Collaboration Proven ability to work closely with product, engineering, marketing, and business teams. Hiring & Talent Development Skilled in identifying top talent, conducting interviews, onboarding, and team capability building. Project & Stakeholder Management Project Management Experienced in managing multiple projects simultaneously. Comfortable with Agile methodologies, sprint planning, and delivery tracking. Stakeholder Communication Translating technical insights into business terms. Communicates technical insights clearly to senior executives. Problem Solving & Scope Management Ability to break down ambiguous business problems into solvable components. Define scope and ensure projects align with business impact. Strategic Thinking Aligns team objectives with company vision and business goals. Drives roadmap planning, and long-term capability building. Business Acumen Domain Knowledge Deep understanding of any one business vertical among the following e.g., telecom, BFSI, fintech, e-commerce, healthcare etc. Impact Orientation Focus on delivering measurable business value from data science efforts. Strong grasp of metrics, KPIs, and ROI-driven thinking. Strategic Thinking Ability to align data science efforts with long-term business goals. Soft Skills Exceptional communication, both verbal and written. Decision-Making: Balanced between data, intuition, team input and strategic vision. Empathy & Emotional Intelligence: Especially for managing team dynamics and motivation. Adaptability: In the face of changing priorities or business goals and organizational change.

AI/ML - Must have 7+ Years of experience in AI/ML Gen AI - Must have 3+ Years of experience in Gen AI 5 Days Work From Office May Joiners can share resumes at: "Kashif@d2nsolutions.com"

Hands on exp with building language models, machine learning & AI models leveraging industry tools, products, & Azure cognitive services. • Deep and hands-on expertise in AI/ML, Gen AI "KASHIF@D2NSOLUTIONS.COM"

We are seeking a highly motivated and talented Machine Learning Engineer Intern to join our AI and Data Science team. This internship offers a unique opportunity to gain hands-on experience in machine learning and work on real-world applications.

About Blend360: Blend360 is a premier AI services provider, dedicated to solving complex business challenges through the power of Data Science, AI, and technology. We co-create impactful solutions by seamlessly integrating human expertise with artificial intelligence, fostering innovation, and unlocking value for our clients. Our mission is to fuel bold visions, and we believe that People + AI can create meaningful impact. For more information, visit www.blend360.com. Role Highlights: This is not just a leadership role it's a hands-on, execution-driven position where you will build, optimize, and deploy AI/ML models while leading a team. As a Manager Data Science , you will work at the intersection of machine learning, generative AI, and business problem-solving. Youll be responsible for developing cutting-edge solutions, guiding projects from ideation to production, and mentoring a team of data scientists to drive measurable impact. If you thrive in a fast-paced, hands-on environment where you can design, develop, and implement AI-powered solutions while leading from the front, wed love to have you on board! What Youll Tackle Each Day: Hands-on AI & ML Development: Build, train, and deploy ML models from classical techniques (Classification, Regression, Forecasting) to advanced deep learning, LLMs, and Generative AI. Perform feature engineering, statistical analysis, and model tuning to enhance predictive capabilities. Work with big data tools (Hadoop, PySpark, Hive) to process large datasets efficiently. Develop AI-driven solutions tailored for industries like Retail, CPG, BFSI, Healthcare, and eCommerce. Optimize and automate machine learning pipelines for scalable deployment. End-to-End AI/ML Deployment: Own the full ML lifecycle , from development to deployment and monitoring. Collaborate with Data Engineering teams to build production-ready ML pipelines. Work with cloud platforms such as Azure, AWS, GCP, or Databricks for model deployment and monitoring. Design and implement A/B testing strategies to measure model impact. Project Execution & Delivery: Drive multiple AI/ML initiatives from concept to execution , ensuring quality and timely delivery. Partner with cross-functional teams (Product, Data Engineering, Business) to translate business problems into scalable AI solutions . Own project roadmaps, track milestones, and ensure stakeholder alignment. Communicate AI/ML concepts effectively to both technical and non-technical stakeholders . Leadership & Team Growth: Lead by doing mentor and guide a high-performance team of data scientists. Set technical direction, review code, and establish best practices in AI/ML development. Foster a culture of continuous learning, innovation, and hands-on problem-solving . Provide career development guidance and help team members achieve technical excellence. What You Bring to the Table: 8+ years of hands-on experience in Data Science & AI , with strong expertise in ML, Python, and SQL . Exposure to Generative AI Should have worked on at least a few POCs or pilot projects leveraging Gen AI capabilities Deep understanding of ML algorithms , including NLP, LLMs, forecasting, and optimization techniques. Proven track record of building and deploying machine learning models in production environments. Expertise in at least one cloud platform: AWS, Azure, GCP, or Databricks . Strong grasp of statistics, probability, and causal inference . Ability to break down complex AI concepts for business stakeholders. Experience with big data tools (Hadoop, Hive, PySpark) and ML workflow automation . Bonus: Experience with Google Analytics, Adobe Analytics, or digital marketing analytics .

Role & responsibilities Key Responsibilities: Multi-Cloud Architecture & Strategy: Lead the design, development, and implementation of highly available, scalable, and secure multi-cloud architectures across various platforms (e.g., AWS, Azure, GCP). Develop and champion cloud strategy, best practices, and architectural patterns to optimize performance, cost, and resilience. Evaluate and select appropriate cloud services and technologies to meet business requirements and future growth. Drive cloud governance, cost management, and resource optimization initiatives. Solution Design & Use Case Translation: Collaborate closely with business stakeholders, product managers, and engineering teams to deeply understand use cases, business requirements, and technical challenges. Translate complex business needs into clear, actionable architectural designs and technical specifications. Architect end-to-end solutions that integrate diverse systems and technologies. Generative AI Integration & Innovation: Identify opportunities and lead the integration of Generative AI models (e.g., Large Language Models, image generation models) into existing and new solutions. Develop and implement strategies for leveraging AI for automation, content generation, data analysis, and enhanced user experiences. Stay abreast of the latest advancements in AI/ML, particularly in generative models, and evaluate their applicability to our products and services. Technical Leadership & Hands-on Development: Provide technical leadership, mentorship, and guidance to a team of engineers and architects. Act as a hands-on contributor, actively participating in the coding and development of core components, particularly in Python. Conduct code reviews, establish coding standards, and ensure the delivery of high-quality, maintainable code. Troubleshoot complex technical issues and provide effective resolutions. Compliance & Security: Ensure all architectural designs, solutions, and implementations adhere strictly to industry standards, regulatory requirements (e.g., GDPR, HIPAA, PCI DSS), and internal security policies. Ensure all open vulnerabilities are timely patched Ensure Zero-trust principles are applied on Identity, Endpoints, Infrastructure and Apps. Implement robust security measures, data privacy controls, and access management strategies within multi-cloud environments. Lead and participate in security audits and compliance assessments. Collaboration & Communication: Foster a culture of collaboration, innovation, and continuous improvement within the team and across departments. Effectively communicate complex technical concepts to both technical and non-technical audiences. Preferred candidate profile

Mode of Employment:C2H Notice Period:immediate JD: POSITION OVERVIEW : We are seeking an experienced and results-driven Enterprise Architect primarily covering .NET to design, develop, and implement scalable, high-performance software solutions. The ideal candidate will have a deep understanding of the Enterprise Applications covering .NET ecosystem, including ASP.NET Core, RESTful services, SQL Server, and cloud technologies like Azure. This role also involves exploring emerging technologies like Python, Generative AI, and Microsoft Power Platform to drive innovation and deliver cutting-edge solutions. Responsible for defining architectural patterns, database architecture, coding and building the solutions and applications, ensuring alignment between technical roadmap and business objectives. POSITION GENERAL DUTIES AND TASKS : Job Summary: We are seeking an experienced and results-driven Enterprise Architect primarily covering .NET to design, develop, and implement scalable, high-performance software solutions. The ideal candidate will have a deep understanding of the Enterprise Applications covering .NET ecosystem , including ASP.NET Core , RESTful services , SQL Server , and cloud technologies like Azure . This role also involves exploring emerging technologies like Python , Generative AI , and Microsoft Power Platform to drive innovation and deliver cutting-edge solutions. Responsible for defining architectural patterns, database architecture, coding and building the solutions and applications, ensuring alignment between technical roadmap and business objectives.

Responsibilities: * Collaborate with dev team on API testing using GIT and CI/CD pipeline. * Develop automated tests with Python, PyTest, and frameworks.

Role & responsibilities Experience with Machine Learning, Deep Learning, Computer Vision, NLP, Generative AI. Knowledge of algorithms, object-oriented and functional design principles, and best-practice patterns Solid understanding of common programming languages used in AI, such as Python, Java, C++, and R Advanced knowledge of statistical and algorithmic models as well as of fundamental mathematical concepts, such as linear algebra and probability Experience working with large data sets and writing efficient code capable of processing large data streams at speed. Primary skillset: Machine Learning, Deep Learning, Computer Vision, NLP Strong hands-on experience in AI/ML/Data Science, including machine learning algorithms, deep learning, NLP, computer vision, etc. Knowledge of programming languages such as Python, R, SQL, etc. Experience with AI/ML/Data Science tools and frameworks such as TensorFlow, PyTorch Experience: Minimum 8-12 years of experience in AI/ML/Data Science Proven track record of successfully delivering AI/ML/Data Science projects

Review& interpret new specifications&revisions of existingspecifications Understand all requirements for samples,workflows,testequipment Research&study products&specifications through learning,userfeedback,information improve quality of documentation Required Candidate profile Exp in editing&preparing technicaldocuments Projectmanagement skills to manage&complete several large projects whichrequire support Exp in automotive technical specifications USCAR/OEM specifications

Role - AI/ ML Engineer Location - Gurugram We are seeking a highly skilled and innovative AI Data Engineer to join our Development team. In this role, you will design, develop, and deploy AI systems that can generate content, reason autonomously, and act as intelligent agents in dynamic environments. Key Responsibilities • Design and implement generative AI models (e.g., LLMs, diffusion models) for text, image, audio, or multimodal content generation. • Develop agentic AI systems capable of autonomous decision-making, planning, and tool use in complex environments. • Integrate AI agents with APIs, databases, and external tools to enable real-world task execution. • Fine-tune foundation models for domain-specific applications using techniques like RLHF, prompt engineering, and retrieval-augmented generation (RAG). • Collaborate with cross-functional teams including product, design, and engineering to bring AI-powered features to production. • Conduct research and stay up to date with the latest advancements in generative and agentic AI. • Ensure ethical, safe, and responsible AI development practices. Required Qualifications Bachelors or Master’s degree in Computer Science, AI, Machine Learning, or a related field. • 3+ years of experience in machine learning, with a focus on generative models or autonomous agents. • Proficiency in Python and ML frameworks such as PyTorch • Experience with LLMs (e.g., GPT, Claude, LLaMA, Cortex), transformers, and diffusion models. • Familiarity with agent frameworks (e.g., LangChain, AutoGPT, ReAct, OpenAgents). • Experience with AWS and Snowflake services • Prior Healthcare experience • Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems. • Excellent problem-solving and communication skills.

Preferred candidate profile 6-7 years of hands-on experience in AI/ML, Generative AI, and related technologies. Proven experience managing engineering teams while remaining technically involved. Proficiency in Python (must-have). Familiarity with Java, Go, and R (preferred). Strong understanding of frontend technologies, particularly Next.js. Experience with backend technologies, specifically Node.js. Knowledge of authentication systems like Auth0. Experience with server and database technologies, especially AWS and Firestore. Strong understanding of AI/ML frameworks, algorithms, and deployment practices. Good knowledge of the legal, tax, and regulatory sectors in India. Bachelors or Master’s degree in Computer Science or a related field. Strong problem-solving skills and ability to work in a fast-paced environment.

Immediate Openings on # Data Scientist GenAI Developer _ Mumbai / Pune / Hyderabad _ Contract Experience:6+ Years Skill: Data Scientist GenAI Developer Notice Period: Immediate Employment Type: Contract Work Mode: WFO/Hybrid Job Description : Generative AI Experience in developing Generative AI based applications Knowledge of various GenAI techniques and frameworks. Python o Machine Learning model development and deployment Azure AI services Optional skills but good to have : SQL API development

Employment Type:C2H 5+ years of experience in developing AI and Machine learning workloads, especially in the field of Natural Language Processing (NLP) Experience in building Generative AI solutions, virtual assistants and chatbots using Azure Open AI or any similar LLM s (eg: GPT 4.0) Experience in designing and building high-performant AI agents and virtual chatbots using MS Copilot Studio. Expertise in Python programming for Data science workloads Expertise in automation and production deployment of NLP and GenAI models using PowerApps. Excellent communication, interpersonal skills, and motivation to work in high performance and rewarding work environments

Experience : 4-5 years Work location: Hyderabad Shift Timings: 11 AM to 8 PM Roles and Responsibilities: Understanding the business objectives, data preparation, data mining, feature engineering, and developing Gen-AI Solutions to solve the business problems Provide direction to the team in terms of technical issues and the design challenges Should be self-driven individual and always look for future opportunities Ensuring delivery of work with minimal errors, within agreed time frame. Ensures Stakeholder satisfaction Demonstrates good communication skills Generates innovative ideas. Operates effectively in a fast-changing environment. Embraces change. Takes a broad approach to problem solving and decision making by analyzing, thinking ahead and planning. Acts with sense of urgency, practicality and integrity. Demonstrates ability to make decisions. Contributes to and participates in decision making and creates a participative decision-making environment. Seeks understanding of impacts and monitor and reviews these on an ongoing basis. Holds accountable for ensuring that results are achieved. Demonstrates a strong orientation towards achievement. Provides input to decision making processes. Demonstrates an understanding and appreciation of the cultural diversity present in the global business environment Technical Skills: Strong understanding of Microsoft Copilot Platform and its capabilities Support team on deploying and managing Gen-AI systems in production environments. They need to have a basic understanding of Gen-AI systems architecture and how to optimize them for performance and scalability. Good Exposure to Python based Gen-AI projects Should have exposure to Cloud computing platforms such as Azure to train and deploy Gen-AI solutions. Awareness around concepts such as pre-trained models, Finetuned models etc. Basic understanding on LLM and NLP tools and technologies used to perform Gen-AI tasks such as text, image generation, and code generation. Ex: GPT-3, Codex, GitHub Copilot, Bard. Ability to showcase the technical solution implemented and present it to all stakeholders Excellent Troubleshooting & Analytical skills Ability to manage / support multiple priorities Be interested in the new tech stack and complex problems solving Should be aware of complete software development lifecycle, including analysis, design, configuration, development, and unit testing Knowledge of .Net Core and SQL database Should be able to share the consistent updates to project stakeholders on project risks and able to come up with risk mitigation plans Experience working on vector databases and index-based search implementations Experience in implementing or utilizing AI / ML solutions including the Azure Cognitive services Designing and implementing Azure based web app solutions Nice to have: Experience with .Net development Qualifications: 1+ years experience and expertise on Microsoft Copilot Studio 4+ years of Azure Ai services experience 4+ Years of Python development experience 3+ years of hands-on exp in Generative AI projects Experience with Using Gen AI libraries like Lang chain, semantic kernel, crewai , etc. Fair understanding of machine learning, natural language processing, and other AI technologies as well. Desirable to have hands-on with Python, Web Development It is good to have a good understanding of business principles and practices Should be able to identify and assess the business potential of Gen-AI technologies Should be able to develop and implement business strategies for Gen-AI projects. Desired to have a strong understanding of the ethical implications of Gen-AI. Able to support in implementing ethical guidelines for the use of Gen-AI. Ensure that Gen-AI is used in a responsible and ethical manner. Responsible to assist team on designing, building, and maintaining Gen-AI models and systems. Basic understanding of how Gen-AI models work and how to craft prompts that will produce the desired results. Collaborate with Users to provide inputs on developing and implementing ethical guidelines for the use of Gen-AI. A strong desire to produce quality work, adopt standards and adhere to those standards Must be able to think & innovate out of the box Provide input to assist with continual improvement Regularly discuss current workload, issues, concerns, etc. Challenge team members to broaden their thinking about the environment and applications Ensure all work adheres to best practices Operate & Maintain: Manage the production issues of existing projects along with ongoing initiatives Standards & Documentation: Accountable for the creation of key standards and documents Ensure documentation, processes and standards are maintained or created for the delivered projects

Job Title: OCI Cloud AI Architect Location: Preferable- Noida (PAN India)-WFO Shift timings : 2PM to 11PM IST Total Experience : 10-15 years Primary Skill 1015 years in Oracle Cloud and Artificial Intelliegence, with 5+ years of proven experience in designing, architecting and deploying full stack AI/ML & Gen AI Solution over OCI AI stack Strong Python programming development experience, streamlit, XML, JSON etc. Deep hands-on knowledge of LLMs (e.g. Cohere, GPT etc.) & prompt engineering techniques (e.g. zero-shot, few-shot, CoT, and ReAct) especially for Cohere, & OpenAI Models. Strong knowledge of AI governance, security, guardrails, and responsible AI. Must have knowledge of data ingestion, feature engineering, model training, evaluation, deployment, and monitoring. Proficient in AI/ML/Gen AI frameworks (e.g., TensorFlow, PyTorch, Hugging Face, LangChain) & Vector DBs (e.g., Pinecone, Milvus). Proficient in implementing Agentic AI Frameworks (e.g. CrewAI, AutoGen and multi-agent orchestration workflow) Deep knowledge of OCI services including: OCI Data Science, OCI AI Services, OCI Gen AI Service, OCI Gen AI Agents, Oracle ATP, Data Flow (Apache Spark), OCI Functions, API Gateway, and Monitoring Strong understanding and practical application of: Prompt engineering, Fine-tuning and parameter-efficient tuning, Agentic orchestration workflows Experience with front end languages such as React, Angular or Javascript etc. Experience in Oracle ATP, 23ai Databases and vector queries Secondary Skill Working experience of implementing semantic matching, fuzzy logic, and similarity scoring algorithms (e.g., cosine similarity, Jaccard, Levenshtein distance) to drive intelligent entry matching in noisy or inconsistent data scenarios. Experience with Finance domain solutions, particularly around reconciliations, journal entry matching, or financial close processes. Understanding of Oracle Cloud Deployment, architecture, networking, Security and other essential components Good to have knowledge of Analytics and Data Science. We are looking for an experienced OCI AI Architect to lead the design and deployment of Gen AI, Agentic AI, and traditional AI/ML solutions on Oracle Cloud. This role requires a deep understanding of Oracle Cloud Architecture, Gen AI, Agentic and AI/ML frameworks, data engineering, and OCI-native services. The ideal candidate combines deep technical expertise in AI/ML and Gen AI over OCI with domain knowledge in Finance and Accounting.

We are seeking a highly experience and motivated Lead Engineer with deep expertise in Generative AI, Machine Learning and Artificial Intelligence . The ideal candidate will drive the design, development and deployment of AI/ML solutions, lead technical teams and collaborate with cross-functional stakeholders to solve real-world problems using cutting-edge technologies. Key Responsibilities: Lead and mentor a team of AI/ML engineers and researchers. Architect and deploy scalable Generative AI solutions (e.g., LLMs, diffusion models, transformers). Design and implement end-to-end machine learning pipelines, including data preprocessing, model training, validation, and deployment. Work with large-scale datasets to develop, fine-tune, and evaluate models. Collaborate with product, design, and engineering teams to integrate AI capabilities into applications. Stay current with the latest research, tools, and trends in AI/ML, and recommend adoption where applicable. Conduct technical reviews and provide guidance on best practices in AI model development. Ensure ethical, secure, and responsible AI development. Must-Have Skills & Experience: 510 years of hands-on experience in AI/ML, including leadership responsibilities. Strong understanding of deep learning , NLP , computer vision , or generative models . Proven experience with Generative AI frameworks (e.g., OpenAI, HuggingFace, LangChain, Diffusers). Proficient in ML libraries and tools such as TensorFlow , PyTorch , scikit-learn , Keras , etc. Solid programming skills in Python ; experience with other languages like Java , C++ , or Go is a plus. Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps practices. Experience deploying models in production environments (APIs, microservices, containers). Strong problem-solving, communication, and analytical skills. Nice-to-Have: Research contributions or publications in AI/ML conferences or journals. Experience working with multi-modal models (text + image + audio). Knowledge of Reinforcement Learning , Prompt Engineering , or AutoML . Exposure to data governance , model explainability , and AI ethics . What we Offer Competitive salary Medical Benefits/Accident Cover Flexi Office Working Hours Fast paced start up

Job Description: We're seeking a Product Owner who serves as the strategic visionary and decision-maker for product development initiatives, balancing business objectives with user needs for Agentic AI platform. This role is responsible for defining and prioritizing the product backlog, ensuring the delivery team builds the right features at the right time, and maximizing the value of the product. The Product Owner acts as the voice of the customer while collaborating closely with stakeholders and development teams. Key Responsibilities: Elicit, analyze, and document detailed business requirements through stakeholder interviews, workshops, and process analysis Translate business needs into functional specifications, user stories, and acceptance criteria Validate requirements with stakeholders and technical teams to ensure alignment and feasibility Manage requirements prioritization and scope changes throughout the project lifecycle Collaborate with product management to develop solution concepts that address business problems Create detailed process flows, wireframes, and functional models to illustrate proposed solutions Conduct gap analysis between current and future states to guide implementation planning Build and maintain strong relationships with key business stakeholders and technical teams Facilitate cross-functional meetings to achieve consensus on requirements and solutions Manage stakeholder expectations regarding solution capabilities and implementation timelines Provide guidance on change management strategies for process implementation Requirements: 6+ years of experience in business analysis or similar role with progressive responsibility Strong understanding of business analysis methodologies and best practices Experience with requirements gathering techniques and documentation standards Proficiency in process modeling, data modeling, and requirements specification Demonstrated ability to manage complex projects with multiple stakeholders Understanding of AI technologies, particularly GenAI solutions

Senior Data Scientist Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 4 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role. Responsibilities: Your technical responsibilities: Contribute to the design and implementation of state-of-the-art AI solutions. Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI. Collaborate with stakeholders to identify business opportunities and define AI project goals. Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges. Utilize generative AI techniques, such as LLMs, Agentic Framework to develop innovative solutions for enterprise industry use cases. Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities. Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment. Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs. Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs. Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly. Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency. Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases. Ensure compliance with data privacy, security, and ethical considerations in AI applications. Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus. Minimum 4 years of experience in Data Science and Machine Learning. In-depth knowledge of machine learning, deep learning, and generative AI techniques. Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch. Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models. Familiarity with computer vision techniques for image recognition, object detection, or image generation. Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment. Expertise in data engineering, including data curation, cleaning, and preprocessing. Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems. Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models. Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions. Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels. Understanding of data privacy, security, and ethical considerations in AI applications. Track record of driving innovation and staying updated with the latest AI research and advancements. Good to Have Skills: Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models Utilize optimization tools and techniques, including MIP (Mixed Integer Programming. Deep knowledge of classical AIML (regression, classification, time series, clustering) Drive DevOps and MLOps practices, covering CI/CD and monitoring of AI models. Implement CI/CD pipelines for streamlined model deployment and scaling processes. Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines. Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation. Implement monitoring and logging tools to ensure AI model performance and reliability. Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment. Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models. Kindly apply - https://careers.ey.com/job-invite/1606310/ and Vaishnavi - 9384017399 Contact - vaishnavi@gds.ey.com

About Us: At Novus Loyalty, we are committed to building cutting-edge AI-driven solutions that enhance business performance and user experience. We are currently seeking a skilled and passionate AI Engineer to join our team, with a strong emphasis on Azure AI technologies. Key Responsibilities: Design, develop, and deploy AI models using Azure AI services. Work on various AI domains, including Generative AI, Agentic AI, and other advanced ML models. Collaborate with cross-functional teams to integrate AI solutions into production environments. Conduct data analysis and preprocessing to support model development. Monitor and optimize AI model performance and accuracy. Stay up-to-date with emerging AI technologies, tools, and best practices. Required Qualifications: Minimum 3 years of hands-on experience in AI/ML model development. Proven experience with Azure AI services (e.g., Azure Machine Learning, Cognitive Services, Azure OpenAI). Strong programming skills in Python or other relevant languages. Solid understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with large language models (LLMs), NLP, or generative AI applications is a plus. Familiarity with MLOps practices and cloud-based model deployment. Excellent problem-solving and communication skills.