AI ML Developer
Capgemini
2 - 5 years
Bengaluru
Posted: 06/10/2025
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Job Description
Job Description
AI ML DeveloperLocation: BangaloreExperience: 5+ YearsAt Capgemini, we empower engineers to build intelligent, scalable AI systems that transform enterprise operations. Join our team to lead the development of cutting-edge GenAI and ML solutions that drive precision, performance, and innovation.Your RoleAs a AI ML Developer you will be responsible for designing, building, and productionizing scalable AI models and pipelines. You’ll work across the full lifecycle—from architecture to deployment—delivering high-value solutions powered by advanced LLMs and multi-agent frameworks.In this role, you will:Design, build, and productionize scalable ML/GenAI models and pipelines with a focus on reliability and precisionDevelop retrieval-augmented generation (RAG) pipelines and agentic systems using advanced LLMsFine-tune, optimize, and deploy transformer-based models (GPT, LLaMA, Mistral, etc.) for enterprise use casesArchitect and implement multi-agent frameworks for tool-augmented reasoning, orchestration, and memory managementDeliver robust APIs and services for ML/GenAI models with performance and cost optimizationCollaborate with software engineers and DevOps teams to scale AI systems across cloud, hybrid, and on-prem environmentsDrive automation in model deployment, monitoring, retraining, and drift detectionEnsure security, compliance, and governance in all AI solutionsStay ahead of GenAI, LLM, and infrastructure innovations and integrate them into the product roadmapYour ProfileBachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field5+ years of experience delivering production-grade ML/GenAI applicationsStrong proficiency in Python (3.x) and ML/DL frameworks (PyTorch, TensorFlow, Hugging Face)Hands-on experience with LLMs and fine-tuning methods (LoRA, PEFT, quantization)Deep expertise in RAG pipelines, embeddings, and vector databases (Elastic, Pinecone, Milvus)Applied knowledge of GenAI frameworks (LangChain, LlamaIndex, Haystack, LangGraph, AutoGen, Crew.ai)Strong understanding of agent-based systems (multi-agent orchestration, tool use, reasoning loops)Familiarity with Model Context Protocol (MCP) for secure and interoperable GenAI integrationsExperience with cloud-native ML engineering (Azure OpenAI, AWS Bedrock) and container orchestration (Docker/Kubernetes)Knowledge of Responsible AI practices including transparency and ethical useProficiency in MLOps practices: CI/CD for ML, monitoring, retraining, and scalingWhat You’ll Love About Working HereWe offer flexible work arrangements, a collaborative culture, and continuous learning opportunities. You’ll be part of a global team driving innovation in GenAI and enterprise AI transformation. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
About Company
Capgemini is a global leader in consulting, technology services, and digital transformation. Headquartered in Paris, France, Capgemini provides a wide range of services, including IT consulting, managed services, business process outsourcing, and digital transformation solutions. With over 360,000 employees across more than 50 countries, the company focuses on helping organizations innovate and transform their businesses to remain competitive in a rapidly changing digital landscape. Capgemini is known for its expertise in cloud computing, AI, cybersecurity, and other emerging technologies, working closely with clients to develop sustainable and cutting-edge solutions.
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