1443 Generative Ai Jobs - Page 26

Position : Machine Learning Engineer - Generative AI / LLMs (Onsite - Bengaluru) Experience : 3+ years of industry experience in ML, software engineering, and data engineering. Education : Masters degree or equivalent experience in Machine Learning. Location : Bangalore (HSR Layout) Job Description: We are looking for a talented Machine Learning Engineer to join our AI team at our Bengaluru office (Onsite Only). In this role, you will work on cutting-edge solutions leveraging Generative AI, Large Language Models (LLMs), NLP, and Computer Vision to solve complex real-world problems. Responsibilities: Design, build, and deploy ML models for NLP, Computer Vision, LLMs, and Generative AI use cases. Develop and maintain robust, scalable ML pipelines for training, evaluation, and deployment. Optimize model performance using cloud-based GPU resources and best practices. Implement scalable inference systems, A/B testing, and monitor production models. Collaborate with cross-functional teams to deliver AI-driven product features. Follow best practices in MLOps, LLMOps, Kubernetes, and Docker. Required Skills: Strong knowledge of Machine Learning, Deep Learning, NLP, and LLMs. Experience with Python, PyTorch, TensorFlow. Familiarity with Generative AI frameworks: Hugging Face, LangChain, MLFlow, LangGraph, LangFlow. Cloud platforms: AWS (SageMaker, Bedrock), Azure AI. Databases: MongoDB, PostgreSQL, Pinecone, ChromaDB. MLOps tools, Kubernetes, Docker. Preferred Qualifications: 3+ years of experience in ML/AI product development. Proven experience building and deploying NLP, LLM, and Generative AI solutions. Experience working with LLMOps best practices. Strong programming skills in Python and familiarity with JavaScript. Interested candidates kindly share your CV and below details to usha.sundar@adecco.com 1) Present CTC (Fixed + VP) - 2) Expected CTC - 3) No. of years experience - 4) Notice Period - 5) Offer-in hand - 6) Reason of Change - 7) Present Location -

Job description Why CDM Smith? Join a team of innovators dedicated to driving data science and AI to new heights. Opportunity to work on impactful projects that shape the future of CDM Smith and the industries we serve. Competitive compensation and benefits package, with opportunities for professional development and growth. About CDM Smith: CDM Smith is dedicated to innovating and driving digital transformation through advanced AI and data science solutions. Our goal is to develop state-of-the-art, industry-leading AI tools that enhance and transform business processes. As a member of our data science team, you will work alongside skilled professionals who are committed to pioneering transformative technologies. Position Summary: We are looking for a skilled and experienced Lead Data Scientist with a strong background in building AI-driven applications and solutions. In this role, you will play a critical role in advancing our generative AI capabilities, creating solutions that streamline processes, and optimizing data insights across the organization. The ideal candidate will be highly analytical, with a deep understanding of machine learning algorithms, advanced data processing techniques, and hands-on experience with Azure Open AI services. Role & responsibilities AI Solution Development: Lead the development and enhancement of AI tools, including generative AI models, natural language processing (NLP) applications, and predictive analytics, that align with CDM Smiths business goals. Machine Learning & Deep Learning: Utilize supervised and unsupervised learning methods to address complex data science challenges. Apply advanced techniques, such as deep learning and neural networks, to optimize model performance. Data Engineering & Processing : Implement and improve data collection methods to ensure robust data pipelines. Focus on building systems that can efficiently process high volumes of data. Data Visualization: Design impactful visualizations using tools such as Power BI, making data insights accessible and actionable for stakeholders. Azure Open AI Expertise : Leverage Azures suite of AI tools, including LLMs and Custom Vision, for scalable, cloud-based deployment of AI solutions. Indexing & Document Optimization : Develop optimized indexing methods and document management strategies for high-volume data handling, especially within Azure Blob storage. Prompt Engineering: Apply prompt engineering techniques to improve the efficiency and accuracy of AI models, focusing on maximizing the effectiveness of LLM-based systems. Cross-functional Collaboration : Work with various teams to identify business challenges, translate them into data science projects, and implement data-driven solutions. Mentorship: Mentor junior data scientists, fostering an environment of growth and continuous learning. Required Qualifications: Educational Background: Bachelors or Masters degree in computer science, Data Science, Engineering, or a related field. Experience: At least 9+ years of relevant experience in data science, with a focus on AI model deployment and application development in a cloud environment, specifically Azure Open A I with at least 2 of those years in a supervisory or leadership capacity. Technical Skills: Proficient in Python and SQL for data manipulation, model building, and analysis. Extensive experience with large language models (LLMs) and RAG architecture. Advanced skills in machine learning algorithms, deep learning, and NLP. Familiarity with Azure Blob storage and optimization techniques for high-volume document processing. Strong data visualization abilities, with proficiency in tools such as Power BI, Tableau, or similar. Problem-Solving Skills: Strong analytical and debugging skills to identify, analyze, and solve complex data challenges. Communication Skills: Ability to communicate complex technical concepts to non-technical stakeholders effectively. Preferred Qualifications Additional Skills: Experience with Azure Custom Vision and related AI tools. Exposure to prompt engineering and document content optimization techniques. Familiarity with data architecture and optimization practices for AI scalability. Soft Skills: Ability to establish and build relationships across departments. Strong organizational skills and attention to detail. Ability to adapt quickly in a dynamic, fast-paced environment.

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 , 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 , 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 and on , , , and . Inviting applications for the role of Assistant Vice President, AWS AI Lead! In this role, we are looking for candidates who have relevant years of experience in Text Mining. The Text Mining Scientist (TMS) is expected to play a pivotal bridging role between enterprise database teams, and business /functional resources. At a broad level, the TMS will leverage his/her solutioning expertise to translate the customer&rsquos business need into a techno-analytic problem and appropriately work with database teams to bring large scale text analytic solutions to fruition. The right candidate should have prior experience in developing text mining and NLP solutions using open-source tools. Responsibilities Design and deliver AI/ML/ GenAI solutions using AWS services across one or more industry verticals (CPG, BFSI, etc.). Architect and implement solutions using Amazon Bedrock, SageMaker, Lex, Connect, Amazon Q, and AWS AI toolchains. Apply Generative AI, LLM fine-tuning , RAG architectures to solve client business problems. Lead initiatives in Agentic AI frameworks to solve business use cases. Lead delivery teams through all phases: data preprocessing, model training, hyperparameter tuning, evaluation, and deployment. Develop project blueprints, solution documentation, and delivery roadmaps aligned with client expectations. Drive AI solution integration into production systems in collaboration with digital product and engineering teams. Conduct applied research on LLMs, NLP/NLU, Deep Learning, and publish technical white papers or patents. Engage with C-level and technical stakeholders to align AI strategy with business goals. Stay updated on AI advancements and evangelize best practices and innovation within internal and client ecosystems. Understanding of responsible AI, AI governance, and model interpretability Qualifications we seek in you! Minimum Qualifications / Skills MS in Computer Science, Information systems, or Computer engineering, Systems Engineering with relevant experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data and algorithms. Post-Graduation in MBA and Undergraduate degree in any engineering discipline, preferably Computer Science with relevant experience Preferred Qualifications/ Skills Experience in sectors such as CPG, Banking/Finance, or Healthcare with domain-specific AI use cases. Full cycle experience is desirable in at least 1 Large Scale Text Mining/NLP project from creating a business use case, Text Analytics assessment/roadmap, Technology & Analytic Solutioning, Implementation and Change Management, considerable experience in Hadoop including development in map-reduce framework Exposure to text mining platforms like OpenNLP , GATE, UIMA, Lucene. Experience with dialog systems, contact center AI (Amazon Connect/Genesys), or customer support automation. Proven track record of delivering large-scale AI/ML/NLP/ GenAI projects end-to-end. Skilled in project planning, blueprinting solution , stakeholder management, and agile delivery. Experience leading cross-functional teams across geographies and functions. Strong written and verbal communication skills ability to present technical solutions to business stakeholders. Preferred Certifications: AWS certifications: Machine Learning - Specialty, Solutions Architect AWS Certified Data Analytics - Specialty Additional cloud certifications in Azure or Google cloud are advantageous . 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.

Experience inimplementing & designing data pipelines using Azure Data Factory Advanced knowledge of Azure Functions,Event Grid Data processing using Azure AI services,cognitive services,Azure cognitive search Stakeholder management,project managementRole & responsibilities

Job description We are having a F2F weekend drive for the requirement of a Data Scientist + Gen AI at our LTIM Kolkata office. Date - 19th July 2025 Experience - 6+ Years Mandatory Skills - Data Science, Gen AI, Python, RAG and Azure/AWS, AI/ML, NLP Location - LTIMindtree Kolkata Office Secondary - (Any) Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps, Inference, Model training, Model Deployment Generic JD- More than 6 years of experience in Data Engineering, Data Science and AI / ML domain Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc. Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks (e.g. Hadoop) Experience in Cloud native skills. Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an asset Analytical mind and business acumen and Strong math skills (e.g. statistics, algebra) Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable. Experience with NLP, NLG and Large Language Models like BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc. Great communication and presentation skills. Should have experience in working in a fast-paced team culture. Experience with AIML and Big Data technologies like AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc. Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Vector databases Good understanding of applied statistics skills, such as distributions, statistical testing, regression, etc. Should be a data-oriented person with analytical mind and business acumen.

As an NLP Lead Data Scientist, you will be building solutions that require analysing and transforming natural language data into useful outcomes using NLP techniques. To succeed in this role, you should possess outstanding skills in statistical analysis, machine learning methods and text representation techniques and language models, consulting experience in FS, banking domain, good communication and client handling skill. Responsibilities : Build Solutions that identify intent and entities, other features from user comments, chat transcript and other unstructured text data. Design and implement advanced solutions utilizing NLP traditional Models and Large Language Models (LLMs). Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions. Conduct research and stay informed about the latest developments in generative AI and LLMs. Train and fine-tune pre-trained NLP models and run evaluation experiments. Perform statistical analysis of results and refine models. Basic logical pseudo code writing. Develop and maintain code libraries, tools, and frameworks to support generative AI development. Participate in code reviews and contribute to maintaining high code quality standards. Engage in the entire software development lifecycle, from design and testing to deployment and maintenance. Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility. Possess strong analytical and problem-solving skills. Demonstrate excellent communication skills and the ability to work effectively in a team environment. Primary skills: Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation. AND/OR Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis. Generative AI: Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities. Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization. Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred. Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git Domain Skill: Consulting experience with FS,Banking domain for at least 3 years. Required qualifications: 16-20 years into Deep Learning framewokrs like Keras, Pytorch, TensorFlow Experience of design, building and deployment of ML/NLP Solutions Proficient in Python & SQL Experience in NLP tools like Genism, spacy, Stanford NLP, HuggingFace Must have excellent project/program management skills and have experience managing multiple work streams and projects at one time Have business acumen to manage revenues profitably and meet financial goals consistently. Able to quantify business value for clients and create win-win commercial propositions. Preferred qualifications: Experience automating data within Tableau/Qlik/ggplot/Shiny to tell a story through interactive visualizations Client relationship management: Build deep client relationship, network & be a thought partner. Anticipate business problems & deliver par excellence. Sales Support & account growth: Actively focus on opportunities to grow the client along with the senior engagement manager. Support the sales team as required for RFPs and regular sales pitches Firm building: Contribute to firm growth by participating and conducting training sessions. Coaching & grooming: Coach & groom the team on gaining knowledge & skills on first principles of analytics techniques, problem-solving, project management, client relationship management EDUCATION: B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent

Key Responsibilities: Lead AI/ML solution development using Python, including API integration and data processing tasks. Conduct research and feasibility analysis for GenAI use cases relevant to the customers business. Review offshore deliverables to ensure adherence to best practices and quality standards before client submission. Collaborate with cross-functional teams to align technical solutions with business goals. Confidently articulate AI/ML concepts and practices to both technical and non-technical stakeholders. Preferred Skills: Strong hands-on experience in Python programming. Exposure to ML Ops practices and deployment workflows. Ability to mentor junior team members and guide solution design. Excellent communication and stakeholder management skills.

Summary PlanSource is a high-growth software company headquartered in Orlando, Florida with engineering offices in Orlando, Salt Lake City, and Bangalore. We are hiring for Director, Software Engineering in our Bangalore office to contribute to our rapid product development. Our engineers work collaboratively to ensure that our products are stable, reliable, scalable and responsive to our customers needs. This role is responsible for strategizing, planning, and implementing software products, with a specific focus on integrating Machine Learning (ML) and Generative AI/Agentic AI features into the offerings. The role encompasses ownership of all aspects of technical delivery, ensuring projects are completed on time, within budget, and with the highest quality standards. The position involves managing and directing teams comprising application architects, software engineers, and quality assurance engineers. It also requires close collaboration with globally distributed Product Owners, Product Managers, and Business Analysts. This role is expected to positively impact the overall delivery of information technology as part of the CoEs mission. This is an ideal opportunity for someone who has a passion for building leading-edge software products, loves learning new and emerging technologies, and is driven to help build successful SaaS products used by thousands of happy businesses. We foster an environment that empowers small teams to collaboratively set the technical direction of our solutions. About You Responsibilities: Serve as the technical manager and authority over multiple development teams, initiating organization-level initiatives and driving team or product imperatives with full ownership. Accountable for architectural decisions and development of features, including the integration of Machine Learning (ML), Generative AI, and Agentic AI capabilities into products. Create a technical vision and strategy for the organization that aligns with business objectives and incorporates advanced AI-driven innovations. Lead discussions and decisions on design, architecture, processes, and development, ensuring the inclusion of cutting-edge AI technologies. Manage and execute against project plans and delivery commitments within an Agile/Scrum environment. Develop processes, mechanisms, and tools that enhance the delivery of programs, especially those involving ML and AI-driven features. Own all operational metrics and provide support for the software developed by your teams, with a focus on innovation and quality. Collaborate with key stakeholders, including product management and executive teams, to define strategy and requirements for AI-enhanced products. Effectively manage ambiguity and competing priorities while staying focused on both short-term and long-term goals. Drive continuous improvements in software engineering practices, particularly in areas related to AI and ML development, across engineering teams. Recruit, hire, mentor, and coach software development engineers at various experience levels to build a team capable of delivering innovative AI-driven solutions. Earn trust through regular communication with senior management on status, risks, and change control, demonstrating a commitment to delivering transformative AI-enhanced technologies. Skill & Experience: Bachelors degree in engineering, computer science or related field A minimum of 10 years of progressive application development Over 5 years of hands-on experience in web application development using Ruby on Rails (RoR), JavaScript, JQuery, ReactJS, and MySQL, with a proven ability to design and implement innovative solutions integrating Machine Learning (ML), Generative AI, and Agentic AI features to elevate product capabilities and performance. 2+ years of management/leadership experience in software development Familiarity with AWS or Azure cloud Strong technical thinking and demonstrated ability to lead software design and coding Polished communication skills, broad technical knowledge, and high self-confidence Ability to demonstrate and lead others in sound software development practices and techniques Working knowledge of Jira, Jenkins, Docker, GitHub and overall Devops experience Job Outcomes Quantitative KPIs (first 6 months) Learn the Products and Deep dive into the relevant Technologies and implementation Successfully integrate and develop capabilities in Machine Learning (ML), Generative AI, and Agentic AI, establishing a solid foundation for innovative AI-driven features within the product ecosystem. Increasing the team throughput (velocity) by 5% - Continuous improvement on all aspects of Software Development Reduce escaping Bugs by 5% - Effective use of RCA and LL and implementation of Corrective Actions What we offer Great compensation package, including a full suite of benefits. The chance to work for a fast-growing, established tech company, and work side-by-side with a dynamic team of talented professionals. Fast-paced environment with big goals and the opportunity to make a big impact. Top five reasons to come to PlanSource: #5: Join the Vista Family. In March 2019, Vista Equity Partners acquired PlanSource, marking a new phase of growth. Vista’s portfolio of technology and software companies collectively make up the 4th largest software ecosystem in the world with “intraportfolio” career advancement opportunities and have structures in place to leverage shared learnings from across the ecosystem. #4: PlanSource has the right product. Show off our sophisticated cloud-based technology that meets the needs of even the most complex benefit programs. #3: Success is rewarded. With more than just a pat on the back, your success is recognized and rewarded. We take care of our employees in every way we can, with comprehensive benefits, employee recognitions, a work hard and play hard environment, and a commitment to wellbeing. #2: You can grow and develop professionally. PlanSource has a great track record of internal promotions and filling open positions within the company. #1: PlanSource is the right company, and we are on a roll . Be part of a winning team in a high-growth technology company that is well funded and values its employees and their families – Thousands of employers and millions of consumers use the PlanSource Platform for benefits shopping, enrolment, billing and ongoing administration.

Skills (must have) Bachelors or masters degree in computer science, Data Science, Engineering, or a related field. Strong programming skills in languages such as Python, SQL etc. Experience in developing and deploying AI/ML and deep learning solutions with libraries and frameworks, such as Scikit-learn, TensorFlow, PyTorch etc. Experience in ETL and Datawarehouse tools such as Azure Data Factory, Azure Data Lake or Databricks etc. Knowledge of math, probability, and statistics. Familiarity with a variety of ML algorithms. Good experience in cloud infrastructure such as Azure (Preferred), AWS/GCP Exposure to Gen AI, Vector DB, LLM (Large language Model) Responsibilities : Collaborate with software engineers, business stake holders and/or domain experts to translate business requirements into product features, tools, projects, AI/ML, NLP/NLU and deep learning solutions. Develop, implement, and deploy AI/ML solutions. Preprocess and analyze large datasets to identify patterns, trends, and insights. Evaluate, validate, and optimize AI/ML models to ensure their accuracy, efficiency, and generalizability. Deploy applications and AI/ML model into cloud environment such as AWS/Azure/GCP etc. Monitor and maintain the performance of AI/ML models in production environments, identifying opportunities for improvement and updating models as needed. Document AI/ML model development processes, results, and lessons learned to facilitate knowledge sharing and continuous improvement. Skills (good to have): Experience in Flask/Django, Streamlit is a bonus Experience with MLOps: MLFlow, Kubeflow, CI/CD Pipeline etc. Good to have experience in Docker, Kubernetes etc

Job Title: Senior Generative AI Developer (Lead - Data Science) Gurgaon / Noida | 7-10 Years Experience About the Role We are looking for an experienced Senior Generative AI Developer to lead the design, development, and deployment of large-scale enterprise-grade GenAI systems. This is a hybrid role requiring both deep hands-on expertise and strategic leadership , working across multi-cloud environments and managing the full lifecycle of AI/ML systems. Key Responsibilities Technical Leadership Architect multi-LLM systems (e.g., Mixture-of-Experts, LLM routing) for performance-cost optimization. Design and scale training pipelines using FSDP, DeepSpeed on GPU/TPU clusters. Cloud-Native AI Development Build and manage multi-cloud GenAI platforms (Azure OpenAI, GCP Vertex AI, AWS Bedrock) with unified MLOps. Implement enterprise-grade security: VPC peering, private endpoints , and regulatory compliance (e.g., data residency). Innovation & Strategy Drive pioneering initiatives such as Agentic workflows , real-time fine-tuning, and synthetic data generation . Define and execute AI governance : model cards, drift monitoring, red-teaming protocols. Cross-Functional Impact Collaborate with product and business teams to define GenAI strategy and ROI metrics (e.g., automation cost savings). Mentor junior engineers and promote GenAI best practices across the organization. Required Qualifications Education : Bachelors/Master’s in CS, AI/ML, or equivalent experience. Experience : 5+ years in ML, 2+ years specifically in Generative AI. Technical Mastery Languages : Expert in Python Frameworks : PyTorch, TensorFlow Extended (TFX), ONNX Runtime Certifications : Azure AI Engineer Expert, GCP ML Engineer (preferred) GenAI Expertise Experience shipping production-scale GenAI systems (e.g., 10k+ QPS chatbots, GitHub Copilot-scale models). Mastery of advanced LLM techniques (LLM orchestration, guardrails, self-reflective prompting). Must-Have Experience Azure : Azure OpenAI, MLOps Pipelines, Cognitive Search GCP : Vertex AI Evaluation, Gemini Multimodal, TPU v5 Pods Built RAG systems using hybrid search (vector + keyword) and real-time data hydration Led AI compliance in regulated domains (finance, healthcare) Preferred Additions Experience with multi-cloud GenAI deployments (e.g., training on GCP, serving on Azure). Certification in Azure and/or GCP AI tracks. Exposure to autonomous agents, vector databases , and AI-driven business automation.

Role & responsibilities Must have experience in developing web applications and customerfacing integrations using C NET 70CORE SQLNo SQL Web API and Cloud Native development using Azure Minimum 3 Years of experience in various GenAI models from OpenAI Google Gemini RunwayML etc Experience on Agentic AI Frameworks like AutoGen LangChain etc Experience on Azure data Factory Azure Logic Apps Azure functions and Build analytical approach based on business requirements then develop train and deploy machine learning models and AI algorithms Technical Design development and support web applications and API frameworks Integration with different systems Integration with AI models and orchestration layers ORM Tools Entity Framework etc Knowledge in Azure Stack and deployment procedure and CICD Container deployments Experience in Git code repo Skills good to haveMicroservice and EventDriven architectures Good to have experience in Python Django Flask Good to have experience in React AngularJS Responsibilities Hands on Experience in C NET Core and CosmosDB Hands on Experience in NET NET Core Web Application Development Web APIs Good to have experience in React AngularJS NodeJS In depth knowledge of Web Application Life Cycle Good understanding of REST APIs Data Structures Must have knowledge on CI/CD Good debugging and analytical skills Must know about design patterns Must have experience with code reviews Must know about different types of caching strategies Can analyze client requirements and propose ideal solutions Good communication skills and the ability to explain situations as clearly and briefly as possible via email phone in person to peers Leadership and customers

Role Overview: Zolvit is looking for a highly skilled and self-driven Lead Machine Learning Engineer / Lead Data Scientist to lead the design and development of scalable, production-grade ML systems. This role is ideal for someone who thrives on solving complex problems using data, is deeply passionate about machine learning, and has a strong understanding of both classical techniques and modern AI systems like Large Language Models (LLMs). You will work closely with engineering, product, and business teams to identify impactful ML use cases, build data pipelines, design training workflows, and ensure the deployment of robust, high-performance models at scale. Key Responsibilities: Design and implement scalable ML systems, from experimentation to deployment. Build and maintain end-to-end data pipelines for data ingestion, preprocessing, feature engineering, and monitoring. Lead the development and deployment of ML models across a variety of use cases including classical ML and LLM-based applications like summarization, classification, document understanding, and more. Define model training and evaluation pipelines, ensuring reproducibility and performance tracking. Apply statistical methods to interpret data, validate assumptions, and inform modeling decisions. Collaborate cross-functionally with engineers, data analysts, and product managers to solve high-impact business problems using ML. Ensure proper MLOps practices are in place for model versioning, monitoring, retraining, and performance management. Keep up-to-date with the latest advancements in AI/ML, and actively evaluate and incorporate LLM capabilities and frameworks into solutions. Mentor junior ML engineers and data scientists, and help scale the ML function across the organization. Required Qualifications: 7+ years of hands-on experience in ML/AI, building real-world ML systems at scale. Proven experience with classical ML algorithms (e.g., regression, classification, clustering, ensemble models). Deep expertise in modern LLM frameworks (e.g., OpenAI, HuggingFace, LangChain) and their integration into production workflows. Strong experience with Python, and frameworks such as Scikit-learn, TensorFlow, PyTorch, or equivalent. Solid background in statistics and the ability to apply statistical thinking to real-world problems. Experience with data engineering tools and platforms (e.g., Spark, Airflow, SQL, Pandas, AWS Glue, etc.). Familiarity with cloud services (AWS preferred) and containerization tools (Docker, Kubernetes) is a plus. Strong communication and leadership skills, with experience mentoring and guiding junior team members. Self-starter attitude with a bias for action and ability to thrive in fast-paced environments. Masters degree in Machine Learning, Artificial Intelligence, Statistics, or a related field is preferred. Preferred Qualifications: Experience deploying ML systems in microservices or event-driven architectures. Hands-on experience with vector databases, embeddings, and retrieval-augmented generation (RAG) systems. Understanding of Responsible AI principles and practices. Why Join Us? Lead the ML charter in a mission-driven company solving real-world challenges. Work on cutting-edge LLM use cases and platformize ML capabilities for scale. Collaborate with a passionate and technically strong team in a high-impact environment. Competitive compensation, flexible working model, and ample growth opportunities. Work Location - Bangalore & Chennnai Interested candidates, please share your resume to lakshmi@vakilsearch.com

We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! REQUIREMENTS: Total experience 10+ years. Expertise in Python, LLM integration, and GenAI development workflows Strong knowledge of prompt engineering, vector databases, retrieval-augmented generation (RAG), and toolchains Strong working experience in Agentic AI and Open AI. Hands-on experience with agent frameworks like LangChain Agents, Semantic Kernel, Haystack, or custom-built agents Proven experience in leading LLM/GenAI projects from Proof-of-Concept to Production Deep understanding of modern data workflows ingestion, transformation, cataloguing, validation, and analytics Ability to work collaboratively across engineering, product, and governance teams Experience with enterprise data products, MLOps, or DataOps platforms Familiarity with governance workflows and metadata-driven automation Exposure to cognitive architectures or agent simulation environments Excellent communication and collaboration skills. RESPONSIBILITIES: Understanding the client’s business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements. Mapping decisions with requirements and be able to translate the same to developers. Identifying different solutions and being able to narrow down the best option that meets the client’s requirements. Defining guidelines and benchmarks for NFR considerations during project implementation Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed. Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it Understanding and relating technology integration scenarios and applying these learnings in projects Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken. Carrying out POCs to make sure that suggested design/technologies meet the requirements.

Role & responsibilities Understand the requirements from the business and translate it into an appropriate technical requirements. Creating a detailed business analysis, outlining problems, opportunities and solutions for a business. Perform activities related to data wrangling, model building and model deployment. Stay current with the latest research and technology and communicate your knowledge throughout the enterprise. Lead initiatives to improve the team morale, camaraderie, and collaboration Preferred candidate profile Generative AI, AI/ML, Python, Databricks

Role & responsibilities Roles & Responsibilities: Understand the requirements from the business and translate it into an appropriate technical requirement. Responsible for successful delivery of MLOps solutions and services in client consulting environments; Define key business problems to be solved; formulate high level solution approaches and identify data to solve those problems, develop, analyze/draw conclusions and present to client. Assist clients with operationalization metrics to track performance of ML Models Help team with ML Pipelines from creation to execution Guide team to debug on issues with pipeline failures Understand and take requirements on Operationalization of ML Models from Data Scientist Engage with Business / Stakeholders with status update on progress of development and issue fix Setup Standards related to Coding, Pipelines and Documentation Research on new topics, services and enhancements in Cloud Technologies Preferred candidate profile Preferred Qualifications: Experienced in Agile way of working, manage team effort and track through JIRA High Impact client communication Domain experience in Retail, CPG and Logistics Experience in Test Driven Development and experience in using Pytest frameworks, git version control, Rest APIs The job may entail extensive travel. The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face.

Role & responsibilities Design and implement end-to-end QA strategies for applications using Node.js, integrated with LLMs, retrieval-augmented generation (RAG), and Agentic AI workflows. • Establish comprehensive benchmarks and quality metrics for GenAI components including accuracy, coherence, relevance, stability, and safety. • Develop structured evaluation datasheets for LLM behaviour validation: test prompts, expected responses, classification criteria, and scoring rubrics. • Perform data quality testing for RAG databases and ensure relevant, high-quality retrieval to minimize hallucinations and improve grounding. • Conduct A/B testing across model versions, prompt designs, and system configurations to measure and compare output quality. • Define methodologies and simulate non-deterministic behaviours using Agentic AI testing techniques. • Collaborate closely with developers, product owners, and AI engineers to test prompt engineering pipelines, function-calling interfaces, and fallback logic. • Build QA automation where applicable and integrate GenAI evaluations into CI/CD pipelines. • Lead internal capability development by mentoring QA peers on GenAI testing practices and helping evolve the organizations AI quality maturity. Preferred candidate profile 6+ years of experience in software quality assurance, with at least 3+ years working in or around GenAI or LLM-based systems. • Deep understanding of GenAI quality dimensions: response grounding, factual correctness, context awareness, and hallucination minimization. • Experience creating and maintaining LLM evaluation datasets and designing test cases for dynamic prompt behaviour. • Hands-on experience with tools and techniques for testing retrieval pipelines, embedding quality, and vector similarity results in RAG architectures. • Familiarity with non-deterministic testing strategies, agent loop evaluation, and multi-step LLM task validation. • Comfortable working with APIs, logs, test scripts, and tracing tools to validate both system and AI behaviour. • Strong analytical thinking and a methodical approach to identifying bugs, regressions, and inconsistencies in AI outputs.

Education: Bachelors Field: Information Technology, Data Management, Data Analytics, Business, Supply Chain, Operations Experience: Type: Bachelors or Masters degree in Data Science, Computer Science, Statistics, or a related field Number of Years: 5+ years in relevant roles Other: At least five years of relevant project experience in successfully launching, planning, and executing data science projects, including statistical analysis, data engineering, and data visualization Proven experience in conducting statistical analysis and building models with advanced scripting languages Experience leading projects that apply ML and data science to business functions Specialization in text analytics, image recognition, graph analysis, or other specialized ML techniques, such as deep learning, is preferred Skills: (Describe any special skill and/or competency requirements applicable to this position.) Fluency in multiple programming languages and statistical analysis tools such as Python, PySpark, C++, JavaScript, R, SAS, Excel, SQL Knowledge of distributed data/computing tools such as MapReduce, Hadoop, Hive, or Kafka Knowledge of statistical and data mining techniques such as generalized linear model (GLM)/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, convolutional neural network (CNN), recurrent neural network (RNN) Strong understanding of AI, its potential roles in solving business problems, and the future trajectory of generative AI models Willingness and ability to learn new technologies on the job Ability to communicate complex projects, models, and results to a diverse audience with a wide range of understanding Ability to work in diverse, cross-functional teams in a dynamic business environment Superior presentation skills, including storytelling and other techniques to guide and inspire Familiarity with big data, versioning, and cloud technologies such as Apache Spark, Azure Data Lake Storage, Git, Jupyter Notebooks, Azure Machine Learning, and Azure Databricks. Familiarity with data visualization tools (Power BI experience preferred). Knowledge of database systems and SQL. Strong communication and collaboration abilities.

We are seeking a highly skilled Data Scientist with a passion for AI, machine learning, and deep learning to join our dynamic team. The ideal candidate will have experience in generative models, LLMs, and advanced AI techniques, and will contribute to solving complex business challenges. Job Title: Data Scientist Location: Bengaluru, Gurugram, Mumbai, Coimbatore 2+years Of experience in machine learning, deep learning, or Al research, With a focus on generative models. Experience With generative models such as GANS (Generative Adversarial Networks), VAEs (Variational Autoencoders), and transformer-based models (e.g., GPT-3/4, BERT, DALL.E). Understanding of model fine-tuning, transfer learning, and prompt engineering in the context Of large language models (LLMS). Knowledge of reinforcement learning (RL) and other advanced machine learning techniques applied to generative tasks. Strong programming skills in python and familiarity With relevant libraries and frameworks. Proven experience in document detail extraction and feature engineering. Proficiency in data processing and manipulation techniques. Hands-on experience in building data applications using Streamlit or similar tools. Advanced knowledge in prompt engineering, chain of thought processes, and Al agents. Excellent problem-solving skills and the ability to work effectively in a collaborative environment. Strong communication skills to convey complex technical concepts to non-technical stakeholders.

Role Overview: We are looking for a strategic and hands-on Business Architect to bridge the gap between business strategy and technology execution. The ideal candidate should have deep experience in insurance domain operations , a strong understanding of AI and digital transformation , and the ability to design scalable business capabilities aligned with enterprise goals. Key Responsibilities: Define and maintain business capability maps , value streams, and process models Align business architecture with strategic goals and digital transformation roadmaps Collaborate with product, data, and engineering teams to translate business needs into scalable solutions Identify opportunities to leverage AI/GenAI for business process optimization Work with business stakeholders to assess current-state processes and define target-state architectures Support solution architects and product managers by providing business context and models Ensure alignment between business processes, data flows, and technology enablement Contribute to business case development, investment planning, and value realization tracking Required Skills & Experience: 10+ years of experience in business analysis, enterprise/business architecture, or solution design Strong knowledge of insurance operations , such as underwriting, claims, policy admin, etc. Exposure to AI/GenAI use cases in insurance or BFSI sectors Experience with business modeling techniques (e.g., BPMN, capability mapping, value streams) Ability to drive cross-functional workshops and lead structured discovery sessions Understanding of enterprise architecture frameworks (TOGAF, BIZBOK, etc.) is a plus Strong communication and documentation skills with C-level exposure Nice to Have: Certification in Business Architecture (e.g., BIZBOK, TOGAF, SAFe) Hands-on experience working with AI delivery teams or product squads Familiarity with agile delivery and digital platforms (low-code/no-code tools)

Roles and Responsibilities Implementation and testing of GenAI solutions for Client Liaise with pre-sales teams and customers for understanding of requirements and timelines Liaise with product team to understand the product to ensure efficient implementation as well as to suggest product improvements Liaise with support teams for ensuring adherence to committed SLAs Must Haves Good in coding (Preferably Python) and DSA Experience with Gen-AI technologies (LLM prompt engineering) Familiarity with React, HTML, CSS, JS or similar frameworks Familiarity with HTTP, REST, microservices, concurrency and Multithreading Experience working with Linux OS, TCP/IP networks, Database, Queues, caching Good problem solving and communication skills Willingness to work in a dynamic and fast paced environment. 2-4 years of experience with a Bachelor / Master's Degree in Computer Science or equivalent. Ownership and commitment towards work

Dear Candidate, We at TATA Technologies looking for an experienced candidate for Gen AI/ML lead role for Pune location. Please check the below JD, if matches to your profile please share your resume on nikhil.agale@tatatechnologies.com Job Title: Gen AI/ML Lead Total Experince: 6-8 Years Location: Pune Notice Period: Immediate-30 Days Role & responsibilities: Define and lead the Gen AI/ML strategy, aligning with organizational goals. Architect and oversee the development of intelligent chatbots for HR, Finance, and People Supply Chain functions. Lead initiatives to integrate in-context AI capabilities into existing applications to enhance user experience and productivity. Drive the development and deployment of Agentic AI solutions for autonomous and decision-support systems. Mentor and guide the AI/ML team, fostering innovation and collaboration. Collaborate with stakeholders to understand business needs and translate them into AI/ML solutions. Stay updated on the latest advancements in AI/ML to ensure cutting-edge implementations. Qualifications: Bachelors degree in computer science, Artificial Intelligence, Machine Learning, or related field. 6+ years of overall experience in SW development, with at least 3 years in a AI/ML development leadership role. Proven expertise in chatbot development, NLP, and contextual AI technologies. Strong understanding of ML frameworks (TensorFlow, PyTorch) and cloud AI services (AWS, Azure, Google Cloud). Exceptional problem-solving and strategic thinking abilities. Excellent communication and stakeholder management skills. Generative AI, Azure OpenAI Service, Azure Cognitive Search / Azure Search Service Preferred Technical Skills: Vector Database, Embeddings (OpenAI / Azure-based), ChatGPT / GPT-4 / GPT Models, Retrieval-Augmented Generation (RAG), LangChain, RESTful API development, OpenAI API, Prompt Engineering, Azure Machine Learning (Azure ML), Azure DevOps (ADO)Kubernetes / Docker (for AI microservices, Git & CI/CD Pipelines, Experience with cloud-native architecture (preferably in Azure), Experience leading AI engineering teams

Dear Candidate, We have a Job Opening for Python Developer in Banking Based Company at Chennai. Requirement Details: Location : Chennai Designation: Python Developer Experience: 10 to 19 Years Exp in python dev min 7+yrs & exp in Generative AI is min 1+y Expected Education: BE / BTech / MTech / MCA / MSc Notice Period : Immediate to 30 days If you are interested, kindly share your updated CV to ct4@convate.com with below details. Kindly fill the below details: 1. Reason for job change: 2. Current Salary: 3. Expected Salary: 4. Joining Time needed Request you to kindly refer any of your friends or colleagues relevant and interested to the opportunity shared. About Convate Consultancy Recruitment Firm: Estd in 2004, Convate (team of 60 recruiters) is a leading International Recruitment Company having operations in Bangalore and Dubai. We specialize in the recruitment of IT/Healthcare/Engineering in India and the Middle East. Convate provides a learning-based work culture with a strong opportunity to grow in the years to come. Thanks and Regards, Iswarya Recruitment Specialist Ct4@convate.com Convate Consultancy Services Pvt Ltd

Job Title: AI Engineer Job Type: Contract Location: Offshore (Remote) Start Date: July 28th, 2025 Experience: 5+ Years Shift Time: Till 1 pm EST Duration: 18 weeks Job Responsibilities: Design and implement scalable Gen AI solutions on Azure to meet enterprise needs. Build and optimize AI-based search systems for content discovery and business use cases. Develop agentic AI frameworks capable of autonomous decision-making and task execution. Work on data and content refinement pipelines to improve model performance and output relevance. Collaborate with cross-functional teams including architects, data scientists, and DevOps engineers. Ensure best practices in AI governance, model monitoring, and security are followed. Qualifications Gen AI on Azure (Azure OpenAI, Azure ML, Cognitive Services) Generative AI-based search (e.g., vector search, RAG models, embeddings) Strong foundation in AI/ML principles Experience with data/content pipelines and processing Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow) Preferred Experience: Proven track record in building agentic AI solutions Ability to work independently in a remote setting Experience in delivering short-term, high-impact AI projects

At Oracle, we are transforming healthcare by modernizing Electronic Health Record (EHR) systems to empower front-line healthcare professionals. Our mission is to enable them to focus more on patient care and less on administrative tasks, achieving peak efficiency with the support of generative AI and modernized applications. By leveraging the power of generative AI and state-of-the-art applications, we aim to enhance efficiency and effectiveness in healthcare delivery. Our approach to modernization includes investing in cutting-edge AI capabilities, advancing user experience, and offering open APIs that enable customers and third parties to develop innovative, integrated solutions. We are dedicated to creating a seamless and intuitive healthcare experience that benefits patients, providers, payers, and the entire healthcare ecosystem. As a Senior Member of Technical Staff in our team, you'll be responsible to lead efforts in designing and building innovative, cloud centric applications from scratch and and make a significant impact on our technical and business strategies. You'll enjoy autonomy and ownership in your work, and be part of a team that values diversity, inclusivity, and creativity. Our dynamic and flexible work environment is designed to support and encourage you to excel, and thrive in a culture that fosters innovation and growth. Career Level - IC3 As a member of the software engineering division, you will assist in defining and developing software for tasks associated with the developing, debugging or designing of software applications or operating systems. Provide technical leadership to other software developers. Specify, design and implement modest changes to existing software architecture to meet changing needs. Career Level - IC3

Job Description: As a Technical Architect at WNS-Vuram, you will be a key player in engaging with potential clients to understand their business needs and craft technical solutions utilizing the Appian platform. Your role will involve collaborating with the sales team to deliver compelling presentations, demonstrations, and proofs of concept (POCs) that showcase the value of Appian in meeting client requirements. You will lead a team of technical resources, ensuring high-quality output and managing their performance effectively. Your responsibilities will include collaborating with sales teams and customers to assess their needs, converting client requirements into effective Appian solutions, and designing solutions using various Appian components, integrations, and Appian AI. You will work with the technical team to deliver projects following agile methodologies, present demos and POCs to stakeholders, and provide technical guidance and mentorship to team members. Additionally, you will lead architecture and solutions discussions with customers, manage a mid-size team of technical resources, and enforce Appian best practices and frameworks. To qualify for this role, you should have a Bachelor's degree in Computer Science, Engineering, or a related field, with 7-8 years of experience in delivering complex enterprise implementations in Appian. You should possess a deep understanding of Appian's architecture, components, and capabilities, along with experience in creating scalable solutions using various Appian components and integration technologies. Proficiency in database design, data modeling, and security aspects is essential, as well as exposure to agile frameworks and managing agile delivery. Strong presentation, communication, and leadership skills are required, along with the ability to work collaboratively in a fast-paced environment and manage multiple assignments simultaneously. Preferred qualifications include Appian certification, exposure to RPA, AI/ML technologies, and domain experience in BFSI. Previous leadership roles in IT services companies, experience in low code/no code technologies, project management, team management, and understanding of User Experience (UX) concepts are also desirable. Join us at WNS-Vuram and be part of a dynamic team driving digital transformation through an Empathy-First Technology-Next approach. Apply now and take your career to the next level in hyperautomation services.,