1443 Generative Ai Jobs - Page 41

We are looking for "Data Scientist" with Minimum 4 years experience Contact- Yashra (95001 81847) Required Candidate profile Data Science, Agentic AI, LLM & RAC advanced machine learning (ML) and Agentic AI frameworks. generative AI, reinforcement learning, and multi-agent systems.

We are looking for "Data Scientist – Agentic AI" with Minimum 15 years experience Contact- Yashra (95001 81847) Required Candidate profile advanced machine learning (ML) and Agentic AI frameworks. generative AI, reinforcement learning, and multi-agent systems. scalable AI/ML solutions.

AI/ML Engineer to join our fast-growing. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and AI-driven applications that deliver business value and customer impact. Key Responsibilities Research and develop machine learning models using supervised, unsupervised, or reinforcement learning techniques. Deploy models into production using MLOps best practices (e.g., containerization, CI/CD, model monitoring). Work on datasets involving structured and unstructured data (e.g., text, image, video, time-series). Collaborate with data engineers, product managers, and other stakeholders to define problem statements and deliver solutions. Continuously improve model performance and scalability using experimentation and model evaluation techniques. Stay updated with the latest trends and breakthroughs in AI/ML (e.g., LLMs, transformers, generative AI). Required Qualifications Bachelors/Masters/Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a related field. Strong coding skills in Python (must), with knowledge of libraries like scikit-learn, PyTorch, TensorFlow, Hugging Face, OpenCV , etc. Experience building and tuning ML models from scratch. Solid understanding of ML lifecycle, from data preprocessing to model deployment. Hands-on with SQL , data manipulation tools ( Pandas , NumPy ), and visualization tools ( Matplotlib , Seaborn , Plotly ). Experience with cloud platforms (AWS/GCP/Azure) and tools like Docker, Kubernetes, MLflow is a plus. Preferred Skills Exposure to NLP , LLMs , chatbots , speech processing , or computer vision applications. Experience with GenAI models like GPT, DALL•E, or stable diffusion. Knowledge of prompt engineering, vector databases (like FAISS, Pinecone ), or LangChain is a bonus. Publications or participation in AI/ML competitions (e.g., Kaggle, NeurIPS, CVPR) is a strong plus.

JD for Techno Functional BA for Onshore and Offshore. Core BA skill set Requirement analysis/ definition Hands on User story writing Stakeholder management BRD / Process flow / UPN / BPMN hands on knowledge Tech bent of mind Ability to analyse integrations across systems. Understanding of APIs/ EoD / Intra day messages etc. Business + Tech architecture level appreciation. Any experience working on a data project is preferable to have. Flavour of AI / GenAI BA is highly desirable. Some one, who had implemented few projects in the past in AI use case.

We are looking for an experienced Data Scientist with expertise in Generative AI and Large Language Models (LLMs) to join our innovation team. In this role, you will work at the cutting edge of AI technologies, leveraging LLMs to develop intelligent applications that can generate, analyze, and process text data. You will collaborate with data scientists, machine learning engineers, and product teams to build and deploy state-of-the-art AI solutions that solve complex real-world problems. Programming Python GenAI Technologies understanding evaluation LLM-LMM integration, Optimization, Deployment RAG, Knowledge graphs, transformers AWS Bedrock We re hiring Sr. Data Scientist for one of our Leading MNC to join their growing team. This position is based out in Bangalore. Education: Any Engineering

Job Title: Executive AI Engineering Location: Andheri (Mumbai) Industry: Pharmaceutical Experience Required: 4+ years in Gen AI/ML, NLP application development About the Role: We are looking for a highly skilled Senior AI Engineer GenAI & Applied ML to independently design, develop, and deploy advanced AI solutions. This is a senior individual contributor role focused on building production-grade Generative AI systems, agentic applications, and intelligent bots using state-of-the-art LLMs, SLMs, and embedding models. You’ll work hands-on across the full AI stack — from fine-tuning models and writing APIs to implementing text-to-SQL and voice-enabled assistants. If you have a strong track record of single-handedly delivering complex AI systems and a deep understanding of modern ML and GenAI trends. Key Responsibilities: Design, build, and deploy production-ready AI solutions leveraging LLMs, SLMs, embedding models, and advanced ML techniques. Develop intelligent chat agents, voice-enabled bots, and autonomous agentic AI systems tailored to various domains and user contexts. Implement context-aware systems using RAG (Retrieval-Augmented Generation), custom embeddings, and vector databases to optimize relevance and response quality. Fine-tune and customize open-source and proprietary LLMs (e.g., GPT, Claude, LLaMA, Mistral, Phi 4) for domain-specific applications and enhanced performance. Build and expose scalable APIs to serve AI models and integrate them into broader application ecosystems. Own the full AI lifecycle — from architecture and experimentation to deployment and performance tuning. Translate business needs into technical blueprints in collaboration with product owners, data teams, and domain experts. Proactively research and prototype with the latest advancements in GenAI, agent frameworks, and multimodal models to drive innovation. Understanding of evaluation frameworks for GenAI systems, including prompt robustness, hallucination mitigation, and human-in-the-loop feedback loops. Requirements: 4 + years of hands-on experience in building and deploying AI/ML/NLP applications, including at least 2 years working with LLMs or GenAI systems in production environments. Proven experience with state-of-the-art LLMs/SLMs , such as GPT-3.5/4, Claude, LLaMA, Mistral, or similar, including prompt engineering, model evaluation, and fine-tuning. Practical expertise in building RAG pipelines , designing embedding workflows , and using vector databases like FAISS, Pinecone, or Weaviate. Strong Python programming skills with experience in Hugging Face Transformers , LangChain , LanGraph, OpenAI/Anthropic SDKs , and other GenAI frameworks. Solid grasp of ML/NLP fundamentals including data preprocessing , model optimization , evaluation metrics , and real-world deployment strategies . Familiarity with deploying AI models through APIs, cloud platforms, or containerized environments (e.g., Docker, FastAPI, Flask). Excellent analytical and debugging skills; ability to independently research, prototype, and solve complex problems end-to-end. Bonus: Exposure to voice AI systems , speech-to-text APIs, or audio-driven interfaces is an advantage. Nice to Have: Familiarity with regulatory and compliance frameworks relevant to AI in life sciences, such as GxP , HIPAA , GDPR , or similar standards. Experience integrating AI models into enterprise platforms , pharma-specific systems , or regulated IT environments . Knowledge of agent frameworks (e.g., AutoGen, CrewAI, LangGraph) and how to operationalize them in real-world use cases. Exposure to speech recognition APIs , voice interface design, or building voice-enabled assistants . Educational Qualifications: Bachelor’s Degree in Engineering (B.E./ B.Tech. ) or Master’s Degree in Computer Applications (MCA/ M.Tech) . Additional Qualifications in Artificial Intelligence, Machine Learning, or Data Science are highly desirable. Benefits We Offer: Access to a state-of-the-art facility equipped with modern and collaborative workspaces. Free gym facility to promote health and well-being of employees. Dynamic and inclusive work environment focused on innovation and continuous learning. Opportunity to work on impactful projects at the intersection of AI and life sciences. Competitive compensation.

Key Deliverables: Lead end-to-end delivery of GenAI-powered digital platforms across drug development functions Build and scale enterprise-ready AI architectures using RAG, vector databases, and embedding models Drive product strategy, roadmap execution, and talent development in a matrixed global environment Ensure compliance with GxP, cybersecurity, and SDLC in fast-paced biotech innovation settings Role Responsibilities: Oversee cross-functional teams including product owners, analysts, engineers, and scrum masters Translate complex business needs into scalable AI and data solutions aligned with enterprise goals Collaborate globally to integrate AI innovations into regulated life sciences environments Manage technical delivery, stakeholder alignment, and continuous improvement initiatives

Key Responsibilities Own and manage end-to-end content creation articles, tutorials, eBooks, infographics, video scripts, and more for specific categories. Oversee the editorial process, including topic research, production, editing, publishing, and performance analysis Maintain consistency in tone, style, and visual formatting across all content assets Develop and execute SEO-driven strategies to boost organic traffic and content visibility Identify and act on traffic/leads drop patterns, trend-based opportunities, and high-potential content Ensure high-quality, authoritative content that builds trust through credible sourcing, expert insights, and relevant statistics with constant improvement in time-on-page, bounce rate, and user interaction metrics aligned with engagement goals. Deliver timely, trend-focused content and newsjacking articles tailored to user intent and business objectives Drive content visibility on AI search platforms (ChatGPT, Gemini, Perplexity) through GEOby optimizing for prompt-based queries, semantic relevance, and AI-first content formats. Key Requirements 3-5 years of experience in content marketing, preferably in the EdTech, tech, or digital skilling domain Demonstrated experience with SEO best practices and analytics-based content planning Strong understanding of Gen AI content creation tools and GEO. Strong editorial and storytelling skills across formats – blogs, tutorials, eBooks, video scripts, and more Hands-on experience with CMS platforms, content automation, and tools like SEMrush, Ahrefs, GA4, and GenAI tools Familiarity with design tools (e.g., Canva, Adobe Suite) is a plus Excellent organizational and project management skills; ability to handle multiple priorities and stakeholders Experience working in fast-paced, matrixed organizations with aggressive traffic and conversion goals

JOB DESCRIPTION Job Title - Product Manager Department/Group - Product Management Location - Bangalore Experience - 6 - 10 Years Looking for candidates with Experience in HR Tech, and B2C Product Experience Summary entomo is an Equal Opportunity Employer. The company promotes and supports a diverse workforce at all levels across the Company. The Company ensures that its associates or potential hires, third-party support staff and suppliers are not discriminated against, directly or indirectly, as a result of their colour, creed, cast, race, nationality, ethnicity or national origin, marital status, pregnancy, age, disability, religion or similar philosophical belief, sexual orientation, gender or gender reassignment, etc. Product Manager who is passionate about building products that customers love. You will join a dynamic and fast-paced environment and work with cross-functional teams to design, build and roll-out products that deliver the companys vision and strategy. As a product manager on our dynamic and driven team, you will be responsible for owning the development and delivery of new features and enhancements in our SaaS product. Develops products by identifying potential products; conducting market research; generating product requirements; determining specifications, production timetables, pricing, and time-integrated plans for product introduction, developing marketing strategies. Responsibilities Gain a deep understanding of customer experience, identify and fill product gaps and generate new ideas that grow market share, improve customer experience and drive growth. Create buy-in for the product vision both internally and with key external partners. Work with Product Owners and Engineering team to Translate product strategy into detailed requirements and prototypes. Scope and prioritize features and releases based on business and customer impact. Work closely with engineering teams to deliver with quick time-to-market and optimal resources. Drive product Releases including working with Front end teams Customer success, Sales team, executives, and other product management team members. • Evaluate promotional plans to ensure that they are consistent with product line strategy and that the message is effectively conveyed. Act as a product evangelist to build awareness and understanding. Represent the company by visiting customers to solicit feedback on company products and services. Drives the product and is responsible for the feature releases are in the product both on Mobile and Web Platforms. Determine customers' needs and desires by specifying the research needed to obtain market information. Recommend the nature and scope of present and future product lines by reviewing product specifications and requirements, appraising new product ideas and/or product or packaging changes. Assess market competition by comparing the company's product to competitors' products. Obtain feedback from customers/Customer Success teams and enhance product. Have clear short term and long-term roadmap of the overall product. Brings new products to market by analysing proposed product requirements and product development programs, preparing effort estimates, establishing time schedules with engineering. Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; participating in professional societies. Contributes to team effort by accomplishing related results as needed. Essential Skills Experience working with Generative AI technologies such as GPT (Generative Pretrained Transformer) models is highly desirable. Proven track record of managing all aspects of a successful product throughout its lifecycle in BI & Analytics space. Expertise in any of the leading BI & Analytics tools Tableau, Qlikview, Sisense, Power BI or similar. Expertise in Data Engineering, Data modelling, Data / Text Analytics, Data visualization, Data connectors. Sound knowledge or experience in Machine learning, Deep Learning, Python, or any of the ML products Proven ability to develop product and marketing strategies and effectively communicate recommendations to executive management. Expertise in Product Management, Product Development, Requirements Analysis, Planning, Competitive Analysis and Strategy in BI & Analytics space Expertise in SDLC, Agile Scrum methodology in product development & product support. Expert in creating User Stories in Task management tools like Jira. Excellent analytical and problem-solving skills. Passionate about building class products on both web and mobile. Strong leader, self-starter and proven team player in a high achievement-oriented environment Excellent relationship skills, ability to establish credibility and rapport with technical and non-technical team members and to work collaboratively and cross functionally. Good understanding of developing Performance Management/HRMS products and technologies. Must be tech-savvy with the ability to understand technology capabilities and processes. Ability to juggle multiple priorities and thrive in a fast-paced environment. Team player Competenc Strategy Development Team Management Technical Competence Leadership skills Educational Qualification and Experience Required MS/ME/BS/BE degree in Computer Science, Engineering or equivalent preferred. MBA Graduate Minimum 6 - 10 years of Product experience

An Application Developer is a senior software engineer who designs, builds, tests, and maintains software applications, often for a specific client or platform. They are responsible for understanding user needs, translating them into technical specifications, and ensuring the successful delivery of functional and reliable applications. Job Requirements: 5 to 12 years of work experience in enterprise software product development • Bachelors or Masters degree in Computer Science or Engineering Skill Set Experience in these programming languages: Java, Helidon, Microservices. C++ is good to have. • Experience in SQL, Git/Version Control system • Experience in OOP/OOD and Data Modeling • Strong knowledge in business application design and architecture. • Strong Communication and problem solving skills . • Design patterns, software architecture , Cloud Native architecture are desirable • Knowledge and experience in J2EE deployment and best practices is desirable • Exposure to REST, Microservices, ML/Python, C++ • Exposure to Cloud technologies, Generative AI • Exposure to Docker/Kubernetes, CI/CD concepts and tools • Exposure to Scrum Process, JIRA Required Skills Debugging Of Applications Java (Programming Language) Microservices REST API Design Develop Understanding of the entire software development lifecycle, from requirements gathering to deployment and maintenance. Ability to work collaboratively in a team environment and effectively communicate technical concepts

Experienced technology leader with 15+ years in software development, including 10+ years in senior management roles. Proven expertise in building and leading high-performing engineering teams, with a strong focus on innovation, Generative AI, and Data Science to drive performance. Skilled in product and infrastructure development across both startups and large organizations. Deep understanding of SDLC, Agile methodologies, and engineering strategy, including OKRs and roadmaps. Strong leadership, coaching, and communication skills, with a passion for cloud technologies, scalable systems, and delivering high-quality software. Adaptable, self-motivated, and driven by impact. Only considering applicants with a notice period of up to 30 days. For more information, please share your updated CV to admin@spearheadps.com OR via WhatsApp at [ 9899080360 ]. If you know someone who might be a good fit, please share this email with them.

We are looking for a Senior Application Architect with deep experience in designing and building scalable, high-performance applications. In this role, you'll lead the architectural direction of major projects, drive engineering excellence, and ensure our systems are built for performance, reliability, and long-term growth. You will play a strategic role in shaping the technical foundation of our platform, guiding teams through complex design decisions, and ensuring alignment with business goals. Key Responsibilities: Design, review, and evolve the architecture of large-scale, distributed systems. Define and enforce best practices for scalable application development. Collaborate with stakeholders to translate business needs into technical solutions. Create architectural blueprints, technical documentation, and data flow diagrams. Evaluate and recommend technologies, frameworks, and tools that support scale and performance. Lead technical design sessions and drive consensus on system architecture. Ensure systems meet SLAs for performance, uptime, and reliability. Identify and resolve architectural challenges including latency, bottlenecks, and failure recovery. Mentor engineering teams on scalable architecture principles and clean code practices. Partner with DevOps to ensure smooth deployment and monitoring of applications. Stay current with industry trends and incorporate emerging technologies as appropriate. Must Have skills : Microservices,Kubernates Docker,Python,Java,Scalabilty,Generative,Azure,GCP

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.

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- EPA Enterprise Process Architect 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, Visualization 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 / Skills . 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.

Title : Lead Data Scientist/ML Engineer (6+ years & above) Required Technical Skillset : Language : Python , PySpark Framework : Django, Flask, Fastapi, Libraries : NumPy, Pandas, Matplotlib, SciPy, Scikit-learn - DataFrame, Numpy, boto3 Database : Relational Database(Postgres), NoSQL Database (MongoDB), Good to have -SQL Cloud : AWS cloud platforms Other Tools : Jenkins, Bitbucket, JIRA, Confluence Good to Have: agentic ai, ai agent A machine learning engineer is responsible for designing, implementing, and maintaining machine learning systems and algorithms that allow computers to learn from and make predictions or decisions based on data. The role typically involves working with data scientists and software engineers to build and deploy machine learning models in a variety of applications such as natural language processing, computer vision, and recommendation systems. The key responsibilities of a machine learning engineer includes : - Collecting and preprocessing large volumes of data, cleaning it up, and transforming it into a format that can be used by machine learning models. - Model building which includes Designing and building machine learning models and algorithms using techniques such as supervised and unsupervised learning, deep learning, and reinforcement learning. - Evaluating the model performance of machine learning models using metrics such as accuracy, precision, recall, and F1 score. - Deploying machine learning models in production environments and integrating them into existing systems using CI/CD Pipelines, AWS Sagemaker - Monitoring the performance of machine learning models and making adjustments as needed to improve their accuracy and efficiency. - Working closely with software engineers, product managers and other stakeholders to ensure that machine learning models meet business requirements and deliver value to the organization. Requirements and Skills : Mathematics and Statistics : - A strong foundation in mathematics and statistics is essential. - They need to be familiar with linear algebra, calculus, probability, and statistics to understand the underlying principles of machine learning algorithms. Programming Skills : - Should be proficient in programming languages such as Python . - The candidate should be able to write efficient, scalable, and maintainable code to develop machine learning models and algorithms. Big Data Technologies : - A machine learning engineer should have experience working with big data technologies such as Hadoop, Spark, and NoSQL databases. - They should be familiar with distributed computing and parallel processing to handle large data sets. Software Engineering : - A machine learning engineer should have a good understanding of software engineering principles such as version control, testing, and debugging. - They should be able to work with software development tools such as Git, Jenkins, and Docker. Communication and Collaboration : - A machine learning engineer should have good communication and collaboration skills to work effectively with cross-functional teams such as data scientists, software developers, and business stakeholders.

We are looking for a skilled and creative Generative AI Engineer with 2 to 3 years of experience to join our AI/ML team. You will work on designing, fine-tuning, and deploying generative models (text, image, audio, or multi-modal) that power next-gen AI applications across business verticals. This is a hands-on role requiring a solid understanding of deep learning, model training/inference pipelines, and deployment best practices. Key Responsibilities • Build and fine-tune generative models using transformer architectures (e.g., GPT, LLaMA, T5, BERT) and diffusion models (e.g., Stable Diffusion). • Integrate LLMs into production workflows using APIs or custom backends. • Design and implement Retrieval-Augmented Generation (RAG) systems using vector databases like FAISS, Qdrant, or Pinecone. • Optimize prompt engineering and chain-of-thought logic for domain-specific tasks. • Evaluate model outputs for accuracy, relevance, hallucination rate, and latency. • Collaborate with product and engineering teams to turn prototypes into scalable systems. • Contribute to model monitoring, drift detection, and feedback loops for continual improvement. Required Skills • 23 years of experience working with machine learning models, with a focus on generative AI. • Proficient in Python and libraries such as PyTorch, TensorFlow, Transformers (Hugging Face). • Hands-on experience with OpenAI API, LangChain, or LlamaIndex. • Familiarity with vector databases (FAISS, Qdrant, Pinecone) and embedding models. • Strong understanding of LLM behavior, including prompt design, token limits, and context handling. • Experience deploying models using FastAPI, Docker, and cloud platforms (AWS, GCP, or Azure). • Good grasp of model evaluation, explainability, and safety techniques. Preferred Qualifications • Experience with multimodal AI (e.g., text-to-image, text-to-audio). • Exposure to MLOps workflows, CI/CD for ML pipelines. • Contributions to open-source AI projects or research papers. • Knowledge of privacy-preserving AI, RLHF, or federated learning is a plus.

Role Overview Lead the integration of AI technologies into multimedia design processes to produce innovative and impactful content, reinforcing Moving Walls position as a global AdTech leader. Key Responsibilities AI Content Creation : Use AI tools to create high-quality visual, audio, and video content while automating workflows. Brand Integration : Align multimedia outputs with brand guidelines and collaborate on strategic messaging. Marketing Support : Enhance campaigns with AI-generated graphics, videos, animations, and immersive content (e.g., AR/VR). R&D : Stay updated on AI trends, experiment with new technologies, and integrate advancements into production. Collaboration & Training : Work with teams to identify multimedia opportunities and train them on AI tools. Key Performance Indicators (KPIs) Reduced content production time and increased output. Improved engagement metrics (CTR, shares, viewership). Successful introduction of innovative content formats. Consistent brand alignment in all materials. Qualifications Experience : 7+ years in multimedia design with a focus on AI-driven content. Technical Expertise : Proficiency in AI tools (e.g., MidJourney, RunwayML) and multimedia software (Adobe Creative Suite, Figma). Skills : Strong visual storytelling, audience engagement, and project management. Track Record : Proven success integrating AI innovation into creative projects. Tech Stack Generative AI: DALL-E, MidJourney, RunwayML, ChatGPT. Video: Adobe After Effects, Lumen5. Design: Canva Pro AI, Adobe Firefly. Marketing & Analytics: HubSpot, Google Analytics, SEMrush. Location : - Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, India

Role & responsibilities • Familiarity with Mainframe and Midrange platforms is essential for integrating Gen AI solutions into legacy enterprise systems. Candidate should understand data structures, interfaces, and operational workflows on platforms like IBM Z(Mainframe) and IBM I (Midrange). Experience in modernizing and bridging AI applications with these systems is a strong advantage. masters or PhD in Computer Science, Machine Learning, or related field (or equivalent experience) 5+ years in AI/ML development, with 3+ years focused on generative AI (LLMs, GANs, VAEs, etc.) Proven track record of deploying generative AI solutions in production environments mandatory technical skills: deep expertise in generative architectures (GPT, Transformers, Diffusion Models) Experience with NLP tools (Hugging Face, spaCy) and vector databases (Pinecone, FAISS) mandatory proficiency in Python, PyTorch/TensorFlow, and cloud platforms preferred: knowledge of multimodal AI (text-to-image, video synthesis) experience with reinforcement learning (RLHF) for model alignment preferred familiarity with AI ethics frameworks (e.g., AI Fairness 360) strong analytical and problem-solving skills, excellent communication and collaboration abilities, attention to detail and ability to work independently Interested candidate can share me resume in recruiter.wtr26@walikingtree.in

Responsibilities: Develop and deploy advanced analytics solutions leveraging AI, ML, DL, and Generative AI models. Collaborate with stakeholders to understand business challenges and design data-driven solutions. Build, test, and optimize machine learning pipelines and automation processes using Python. Work with relational and non-relational databases; write efficient SQL queries. Implement asynchronous programming techniques to enhance system performance. Design and develop scalable applications and APIs using frameworks like Django and Flask. Create and integrate REST APIs for seamless data exchange between systems. Deploy and manage analytics solutions in production environments. Troubleshoot and resolve issues in deployment, automation, and analytics workflows. Stay updated with the latest advancements in AI/ML/DL and Generative AI technologies. Requirements: Bachelors/ Masters degree in Computer Science, Data Science, or a related field. 5+ years of hands-on experience in analytics and AI/ML solution development. Proficient in Python and Python-based automation techniques. Solid understanding of AI/ML/DL concepts and familiarity with Generative AI models. Strong experience with SQL and database management (e.g., MySQL, PostgreSQL, MongoDB). Hands-on experience with asynchronous programming in Python. Proficiency with frameworks such as Django and Flask for application development. Experience in deploying machine learning models and applications. Familiarity with REST API development and integration. Strong problem-solving skills and ability to work in a collaborative environment. Preferred Skills: Knowledge of BI Tools such as Qlik & Power BI. Knowledge of cloud platforms (AWS, Azure, GCP) for AI/ML deployment. Experience with containerization tools like Docker and orchestration platforms like Kubernetes. Soft Skills: Strong analytical and critical thinking abilities. Excellent communication and interpersonal skills. Ability to work independently and within cross-functional teams.

Role: Gen AI and ML Eng Exp:3-10 Years Location: Hyderabad/Bangalore NP:Immediate -15 Days(Do Not share more than 15 Days NP Candidates) Required skillsets: Bachelors or masters degree in computer science, Data Science, Engineering, or a related field (PhD preferred). 3+ years of experience in machine learning, deep learning, or AI, with a focus on GenAI. Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or similar. Hands-on experience with large language models (LLMs), generative models, and NLP techniques. Strong understanding of data structures, algorithms, and statistical methods. Experience deploying ML models in production environments (cloud or on-premises). Excellent problem-solving, communication, and collaboration skills. Define and execute the AI/ML strategy in alignment with business goals. Lead the architecture, development, and deployment of state-of-the-art GenAI and ML models, including large language models (LLMs) and generative architectures. Serve as a subject matter expert, advising executive leadership and cross-functional teams on AI/ML opportunities, risks, and best practices. Mentor, coach, and develop junior and mid-level data scientists and engineers. Oversee the design and optimization of robust data pipelines and scalable infrastructure for model training, evaluation, and deployment. Evaluate and integrate emerging technologies, tools, and frameworks to maintain a competitive edge. Represent the organization in external forums, conferences, or industry groups as an AI thought leader. Ensure compliance with ethical, legal, and regulatory standards in AI/ML applications. Must Have:- GenAI and ML Good to Have:- SQL, Databricks Role & responsibilities If Anyone interested please share resume@Rina.nahak@rite.digital

Must have expertise in fine tuning and training models. Must have implemented projects with expertise on Agents, Tools and RAG solutions. Hands-on expertise in integrating LLMs with VectorDB like chromadb, faiss, pinecone is required. Expertise in PEFT, Quantization of models is required. Experience in Tensorflow, Pytorch, Python, Hugging Face, Transformers is a must. Expert in data preparation, analysis and hands, one expertise in Deep Learning model development is preferred. Additional expertise in deploying models in AWS is desired but optional. Skills OpenAI, Gemini, LangChain, Transformers, Hugging Face, Python, Pytorch, Tensorflow, Vectordb(chromadb, faiss, pinecone) Project experience At least 1-2 live implementation of Generative AI driven solution implementation. Extensive experience in implementing chatbots, knowledge search and in NLP.

Use GPT API or Llama to develop custom frameworks for investment management alternate data analysis Use Orchestration tools like N8n for document ingestion Setup on cloud or private using Coreweave Lead Machine Learning and UI Engineers Required Candidate profile 3+ years of development experience in .NET , Python and Azure 3+ years of experience in Data Science along with hands on GenAI and LLMs Experience with VectorDB, documentation ingestion workflows etc.

Strong Communication Skills Exceptional written and verbal communication skills in English. Ability to craft clear, concise, and impactful messages. Experience using communication formats such as video, newsletters, social media posts, intranet articles, and leadership communications. Project Leadership Skills Proven ability to work independently and drive projects from concept to execution. Strong organizational skills to juggle multiple tasks, stakeholders, and deadlines simultaneously. High attention to detail, ensuring quality and accuracy at every step. Proficiency in GenAI Tools Practical experience (or strong eagerness to develop expertise) using Generative AI platforms to improve communication output. Ability to assess when and how to leverage GenAI to speed up content creation without compromising quality. Openness to learning new AI tools and exploring their application in corporate communications. Collaborative Team Player Ability to build relationships and work effectively across diverse cultures and matrix structures. Positive attitude, strong interpersonal skills, and a team-oriented mindset. Creativity & Innovation Bring fresh, creative ideas for communication practices, storytelling formats, and employee engagement. Ability to transform traditional communications into exciting, modern experiences. Analytical mindset with the ability to interpret communication metrics and feedback. Drive continuous improvement through learnings and innovation. Actively look for ways to streamline processes and enhance communications. Ability to thrive under pressure, adapt to change, and embrace constructive feedback as a path to growth. Develop and execute communication strategies targeting a global audience across multiple channels. Serve as a trusted communications advisor to internal stakeholders, understanding their goals and translating them into effective communication plans. Collaborate with external vendors (designers, video producers, advertising agencies) to deliver high-quality communication assets. Ensure seamless execution of communication campaigns to enhance the overall employee experience. Apply data-driven insights to continuously improve campaign effectiveness. Content Creation & Writing Craft clear, compelling, and engaging messages tailored to different stakeholders, channels, and audiences. Maintain the right tone, style, and level of detail based on the business context. Conceptualize and script content for videos, newsletters, leadership messages, and event communications. Integrate the use of Generative AI (such as ChatGPT) to draft, brainstorm, refine, and elevate communication deliverables with speed and quality. Weekly Newsletter - The Monday Mail Editing Own and manage the weekly global newsletter, The Monday Mail: Edit and refine submissions to ensure clarity, consistency, brand voice, and engagement. Curate content by collaborating with global stakeholders and identifying key company updates and stories. Use analytics tools to track performance, derive insights, and optimize future editions. Employ GenAI capabilities to assist with content repurposing, headline generation, summary writing, and tone adjustments as needed.

About the Role Machine Learning Operations Engineer (GEN AI ) Location : Bengaluru , Chennai , Hyderabad Preferred Immediate Joiners only Responsibilities Strong GenAI and MLops experience is Mandatory Expertise in machine learning frameworks such as TensorFlow, PyTorch and Scikit-learn. Proficient in Deep Learning, Generative AI, cloud platforms like Azure, AWS, GCP for developing and deploying AI/ML models. Familiarity with Azure services and infrastructure as code tools like Terraform and ARM templates. Experience with cross-functional teams in agile environments. Work intently with data scientists, product managers and cross-functional teams to meet business needs. Designing, Developing, Implementing AI models and algorithms with a focus on Generative AI, Machine learning and NLP. Developing and deploying cloud-native applications using Azure services like Azure Functions, Azure ML, Amazon Sage Maker, App Service, Storage and Cosmos DB. Staying updated with the latest AI like Gen AI, machine learning, cloud technologies and applying them to improve processes. Engaging in code and design reviews to collaborate in agile development environments.

Role & responsibilities Role Overview We are looking for a skilled and proactive Full Stack Engineer to join our AI Engineering team. You will play a pivotal role in designing, developing, and scaling AI-driven web applications and platforms. This role is ideal for engineers who are passionate about blending full stack development skills with the emerging world of AI and machine learning, and who thrive in cross-functional, fast-paced environments. Key Responsibilities Develop and maintain scalable web applications and APIs using Python (FastAPI, Flask, Django) and modern frontend frameworks ( React.js, Angular.js ). Build intuitive, responsive UIs using JavaScript/TypeScript , CSS3 , Bootstrap , and Material UI for AI-powered products. Collaborate closely with product teams to deliver GenAI/RAG-based solutions . Design backend services for: Data pipelines ( Azure Data Factory , Data Lake , Delta Lake ) Model inference Embedding and metadata storage (SQL, NoSQL, Vector DBs ) Optimize application performance for AI inference and data-intensive workloads . Integrate third-party APIs, model-hosting platforms ( OpenAI , Azure ML , AWS SageMaker ), and vector databases . Implement robust CI/CD pipelines using Azure DevOps , GitHub Actions , or Jenkins . Participate in architectural reviews and contribute to design best practices across the engineering organization. Required Skills & Experience 46 years of professional full-stack engineering experience. Bachelor's degree in Computer Science, Engineering, or related technical field (BE/BTech/MCA) Strong Python development skills, particularly with FastAPI , Flask , or Django . Experience with data processing using Pandas . Proficient in JavaScript/TypeScript with at least one modern frontend framework ( React , Angular ). Solid understanding of RESTful and GraphQL API design. Experience with at least one cloud platform: Azure : Functions, App Service, AI Search, Service Bus, AI Foundry AWS : Lambda, S3, SageMaker, EC2 Hands-on experience building GenAI applications using RAG and agent frameworks . Database proficiency with: Relational databases: PostgreSQL, SQL Server NoSQL databases: MongoDB, DynamoDB Vector stores for embedding retrieval Familiarity with LLM orchestration tools : LangChain, AutoGen, LangGraph, Crew AI, A2A, MCP Understanding of Responsible AI practices and working knowledge of LLM providers (OpenAI, Anthropic, Google PaLM, AWS Bedrock) Good to Have Skills DevOps & Infrastructure : Terraform, Kubernetes, Docker, Jenkins MLOps capabilities : model versioning, inference monitoring, automated retraining Security experience with OpenID Connect , OAuth2 , JWT Deep experience with data platforms: Databricks , Microsoft Fabric Prior experience in AI/ML R&D or working within cross-functional product teams Soft Skills & Team Expectations Effective communication and documentation skills; ability to clearly articulate technical concepts to both technical and non-technical audiences. Demonstrated ability to work independently as well as collaboratively in a fast-paced environment. A builder's mindset with a powerful desire to innovate, automate, and scale . Comfortable in an agile, iterative development environment. Willingness to mentor junior engineers and contribute to team knowledge growth. Proactive in identifying tech stack improvements, security enhancements, and performance bottlenecks. Preferred Certifications (at least two are preferred) Cloud Certifications (Azure, AWS, GCP) – e.g., Azure DevOps Engineer , AWS Certified ML Specialist , GCP Professional ML Engineer Docker/Kubernetes/Cloud Native certifications (CKAD, CKA, etc.) Why Join PwC CTIO? Work at the cutting edge of AI engineering , deploying real solutions at production scale. Collaborate with visionary AI researchers , engineers, and product leaders to redefine what is possible. Be part of a team that values both rapid experimentation and engineering excellence . Gain exposure to LLMOps and GenAI infrastructure at an enterprise scale. Join a culture that encourages continuous learning, bold thinking , and inclusive innovation . Shift:11am-8pm