1457 Genai Jobs - Page 22

Job Description We are inviting professionals with 3 or more years of experience in Business Intelligence/Analytics to join our team, working on next generation Cloud transactional Supply Chain Management (SCM) analytics. This is a great opportunity to build on your reputation as an accomplished software engineer, development leader, communicator and teammate with a track record for quality, innovation and delivery. We are a diverse team working on creating premier advanced transactional Supply Chain Management analytics Cloud solution using Oracle technologies. Working within a highly successful product organization you will work with a cross geography team of engineers in developing next g...

Role Summary We are seeking a highly skilled and customer-focused AWS Senior Solutions Engineer & Technical Account Manager (TAM) to join our AWS Technical Support team. This hybrid role blends deep technical expertise with strategic client engagement, enabling the successful candidate to lead complex cloud projects, provide advanced support, and act as a trusted advisor to enterprise customers. You will be responsible for delivering high-quality AWS solutions, managing technical relationships, and ensuring customer success through proactive guidance, architectural best practices, and operational excellence. Key Duties And Responsibilities Working in close collaboration with the Global Suppo...

As a Lead Engineer GenAI at Verisk, you will be responsible for developing and maintaining GenAI systems, ensuring they are robust, secure, and performant. Your role will involve leveraging advanced knowledge of Python open-source software stack, such as Django or Flask, and developing innovative solutions using GenAI technologies. Your qualifications and responsibilities include: Key Responsibilities: - Lead the implementation of GenAI systems, ensuring robustness, security, and performance - Develop scalable and efficient GenAI solutions tailored to specific requirements - Work on all aspects of enterprise-scale implementation for AI/GenAI solutions, including architecture, design, securit...

As a Mid level GenAI Engineer at NTT DATA in Hyderabad, Telangana, India, your role will involve: - Building GenAI/agentic systems such as chat copilots, workflow/graph agents, tool use, and memory - Implementing chunking, hybrid search, vector stores, re-ranking, feedback loops, and continuous data quality/evaluation - Selecting, integrating, and finetuning LLMs & multimodal models - Applying prompt-engineering techniques to specific use cases and types - Having experience working on solutions based on LLM, NLP, DL (Deep Learning), ML (Machine Learning), object detection/classification, etc. - Good understanding of DevOps and LLM evaluation - Deploying a minimum of 2 models in production (M...

Qualifications Graduate Degree 3 - 5 years of relevant work experience, preferably in a content management/knowledge management organisation Intermediate knowledge of Adobe Experience Manager (AEM) and SEO tools like Semrush, Ahrefs or BrightEdge Ability to work across cultures and in a virtual environment Self-motivated and strong team player with strong interpersonal skills Demonstrate excellent analytical skills and communication skills (written, verbal, & presentation) Ability to build networks within the organisation Be able to work independently and as part of a team with professionals at all levels Be able to prioritise tasks, work on multiple assignments, and raise concerns/questions...

Exp : 6+ Years of experience C# with GENAI Location : Pune/ Kolkata / Indore Skills - Python, C#, Agentic AI, MCP, GenAI, RAG, Semantic search AI Engineer Required Skills & Experience Core Technical Skills Framework Knowledge Solid understanding of MCP vs. A2A frameworks. Ability to differentiate and work with AI agents vs. RAG (Retrieval-Augmented Generation) approaches. 2) Search & Data Handling Proficiency in semantic search methodologies. Experience with vector databases and related libraries, such as Redis VL and Pinecone. 3) Programming Languages Strong proficiency in C# and Python . 4) Prompt Engineering Understanding of prompt engineering fundamentals and best practices. 5)AI Model E...

Total exp : 6 years Relevant :3 years skills: RAG, LLM, Vector db, GenAI Job Location : Trivandrum Key Responsibilities: Design, build, and optimize RAG pipelines for document-level and multi-turn QA systems. Fine-tune or prompt-tune foundation models (LLMs) for domain-specific tasks. Develop and deploy ML/DL models to support NLP/NLU tasks like summarization, classification, and retrieval scoring. Integrate vector databases, semantic search tools, and embedding models for high-performance document retrieval. Work with unstructured and semi-structured data sources (PDFs, HTML, JSON, SQL, etc.). Collaborate with data engineers, ML engineers, and product teams to build end to-end generative AI...

Role & responsibilities More than 5 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 ...

Key Responsibilities: Design and implement AI product features Maintain and optimize existing AI systems Train, evaluate, deploy, and monitor ML models Design ML pipelines for experiment, model, and feature management Implement A/B testing and scalable model inferencing APIs Optimize GPU architectures, parallel training, and fine-tune models for improved performance Deploy LLM solutions tailored to specific use cases Ensure DevOps and LLMOps best practices using Kubernetes, Docker, and orchestration frameworks

As a Senior Machine Learning/AI Manager at CDK, you will lead and mentor a team of scientists and engineers to deliver high-quality ML/AI solutions. You will own the full ML lifecycle from data exploration and feature engineering to model deployment and monitoring. Your role will involve architecting and implementing models for recommendation systems, classification, forecasting, and generative AI use-cases. Collaborating cross-functionally with product, engineering, and MLOps teams will be crucial to translate business needs into scalable ML solutions. Utilizing LLMs and Retrieval-Augmented Generation (RAG) to build intelligent customer experiences will be a key aspect of your responsibilit...

You will be joining Credgenics, India's leading SaaS-based debt collection platform, where innovation and agility are highly valued. By leveraging AI, ML, and advanced analytics, Credgenics helps financial institutions improve recovery rates, optimize collection spends, and enhance operational efficiency. In your role as a Data Scientist specializing in Voice AI, you will focus on developing and deploying GenAI-powered Speech-to-Text (STT) and Text-to-Speech (TTS) models to drive voicebot automation within the collections platform. Collaboration with cross-functional teams is essential to implement voice solutions that enhance customer interactions, reduce manual intervention, and scale conv...

As a professional experienced in NLP/LLM/GenAI, you will be working at the Artificial Intelligence Advancement Center alongside leading technical experts from around the world. Your role will involve designing NLP/LLM/GenAI applications/products by following robust coding practices. You will explore state-of-the-art models and techniques for automotive industry use cases and conduct ML experiments to train/infer models while ensuring they adhere to memory and latency restrictions. Additionally, you will deploy REST APIs or a minimalistic UI for NLP applications using Docker and Kubernetes tools and showcase these applications through web frameworks like Dash, Plotly, Streamlit, etc. You will...

Role Overview: As a GenAI Specialist at Birlasoft, you will be completely hands-on with building applications using GenAI models and frameworks. You will serve as the primary technical expert for GenAI technologies, focusing on enhancing the GenAI footprint across clients by developing, implementing, and optimizing advanced AI models and solutions. Your role will involve defining best practices, standards, and templates for AI solutions, conducting workshops, demos, and client presentations on GenAI use cases, and collaborating closely with cross-functional teams to identify, evaluate, and implement use cases across different customers. Additionally, you will evaluate and integrate emerging ...

Role Overview: You will be a part of the People & ORG CoE team at the Bain Capability Network (BCN), working on building and deploying analytical solutions related to Operating Model and Organization Practice. Your main responsibility will involve developing, maintaining, and evolving advanced internal tools with a focus on Python. Additionally, you will contribute to case delivery by generating meaningful insights for Bain clients using these tools. You will also play a role in creating efficiency gains and driving innovation within the team. Key Responsibilities: - Become an expert in developing and maintaining advanced internal tools with a focus on Python - Handle end-to-end tool process...

Job Description We are seeking a dynamic and experienced Continuous Improvement and RPA SME to join our Global Finance Operations Organization and be part of the Enablement Leadership team. The leader should have familiarity with Business Process Improvement (BPI)/ LEAN process techniques and possess strong finance acumen. The role entails analysis of end-to-end Finance processes, leveraging both data and observation methods, to suggest improvements for Productivity, Quality, Efficiency, and Speed and eliminate redundant process/ steps. The new lead shall further help us evolve our Culture of Continuous Improvement within the DNA of NielsenIQ Finance Operations - leveraging Lean and other BP...

Responsibilities: Design and develop agentic automation workflows using frameworks such as LangGraph, AutoGen, CrewAI, and other multi-agent systems (e.g., MCP, A2A) to automate complex business processes. Build and optimize Retrieval-Augmented Generation (RAG) pipelines for enhanced contextual understanding and accurate response generation in automation tasks. Integrate open-source LLMs (e.g. LLaMA) and closed-source LLMs (e.g., OpenAI, Gemini, Vertex AI) to power agentic systems and generative AI applications. Develop robust Python-based solutions using libraries like LangChain, Transformers, Pandas, and PyTorch for automation and AI model development. Implement and manage CI/CD pipelines,...

Job Summary: We are seeking an experienced and innovative Full Stack Developer with 58 years of experience in designing and developing scalable applications. The ideal candidate should have strong expertise in Python, Django, FastAPI, Microservices, and hands-on experience with GenAI applications and vector databases. This role requires a forward-thinking developer who can work on both backend and frontend, design microservices-driven architectures, and deploy GenAI-powered solutions in real-world use cases. Key Responsibilities: Design, develop, and maintain scalable microservices-based applications using Python frameworks (Django, FastAPI). Build and deploy containerized applications using...

Education, Experience, & Skills Required: 2-7 years of experience in a software engineering role, with exposure to AI/ML concepts. Familiarity with working in an Agile environment preferred. Bachelors Degree or equivalent in Computer Science, Engineering, or a related field. Software engineering experience, with exposure to AI model integration and generative AI frameworks. Knowledge of modern programming language such as: Python - preferred for AI applications Familiarity with Unix/Linux, Big Data, SQL, NoSQL, and modern data storage technologies. Experience with AI APIs and frameworks such as OpenAI API, Hugging Face Transformers, LangChain, LlamaIndex, and vector databases (FAISS, Pinecon...

Lead Data Scientist - Generative AI & LLMs Location: Hyderabad Notice Period: Immediate to 30days About the Role As a Lead Data Scientist, you will drive the architecture, design, and delivery of GenAI solutions, focusing on LLM and vLLM fine-tuning, data strategy, and model performance. This is a strategic, leadership-oriented role requiring a deep technical foundation and strong stakeholder collaboration. Key Responsibilities Lead design and implementation of LLM-powered GenAI platforms and document intelligence products. Architect and own data pipelines for fine-tuning large language models using large- scale datasets. Guide and mentor data science teams on LLM training best practices, ev...

Role Purpose The role is responsible for ensuring the implementation of strategies & policies to ensure portfolio growth, maintaining delinquencies within benchmarks through regular tracking mechanisms together with designing and launching new campaigns to achieve organization goals. Role Accountability 1. Maintain & sustain profitability in Encash Portfolio and delinquency rates below benchmark levels 2. Offer encash & CLI to low and marginal-risk segments, which act as an NEA builder for the portfolio 3. Effective Utilization of data from other bureaus to offer encash to customers 4. Track & monitor portfolio performance and take corrective actions to maintain the portfolio delinquency wit...

Develop and optimize AI models for insurance use cases, apply data science for predictive insights, innovate with latest AI, integrate with engineering teams, and ensure scalable, cost-efficient, reliable deployment and maintenance. Required Candidate profile Hands-on with GenAI, LLMs, prompt engineering, and fine-tuning; skilled in Python, TensorFlow, PyTorch; strong in data science, predictive analytics, and MLOps for scalable AI deployment.

Job Title: Data Scientist / AI-ML Engineer (AI Agents & Machine Learning) Experience: 2+ Years Location: Bangalore About the Role: We are looking for a passionate and highly skilled AI/ML Developer / Data Scientist with proven experience in designing, building, and deploying intelligent systems using cutting-edge AI technologies. The ideal candidate will have hands-on expertise in Large Language Models (LLMs), Machine Learning, Deep Learning, Prompt Engineering, Vector Databases, and Agent Frameworks. This role spans the entire AI/ML lifecycle from ideation and architecture to deployment and optimization with a strong emphasis on RAG pipelines, NLP, chatbot frameworks, and proof-of-concept (...

Role & responsibilities Job Title: Sr. Data Science Engineer (SSE) Job Location: Pune Job Description: Company Introduction Nitor Infotech, an Ascendion company, is a leader in innovative technology solutions, driving transformation across industries. Our dynamic culture fosters creativity and collaboration, making us a top choice for tech talent. Join us to be part of a team that values growth and excellence. Job Overview We are seeking a highly skilled GenAI Engineer with expertise in large language models (LLMs), prompt engineering, and GenAI solutions. This full-time position is remote , reporting to the Technical Manager . The ideal candidate will have hands-on experience with Azure Ope...

Experience Required: 7+ Years Job Description: Python and familiar with AI/Gen AI frameworks. Experience with data manipulation libraries like Pandas and NumPy is crucial. Specific expertise in implementing and managing large language models (LLMs) is a must. Fast API experience for API development A solid grasp of software engineering principles, including version control (Git), continuous integration and continuous deployment (CI/CD) practices, and automated testing, is required. Experience in MLOps, ML engineering, and Data Science, with a proven track record of developing and maintaining AI solutions, is essential. We also need proficiency in DevOps tools such as Docker, Kubernetes, Jenk...

Were seeking a visionary Technical Architect with deep expertise in Data Science and Generative AI to lead the design and implementation of cutting-edge AI solutions. This role blends strategic thinking with hands-on technical leadership, enabling transformative innovation across industries. You’ll architect scalable systems, guide cross-functional teams, and shape the future of AI-powered products—from intelligent automation to synthetic data generation and beyond. Key Responsibilities Architect AI Solutions: Design end-to-end architectures for GenAI and data science platforms, including model pipelines, data lakes, and deployment strategies Lead Technical Strategy: Define technical roadmap...