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Senior Machine Learning Engineer
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- Posted 14 hours ago
- Be among the first 20 applicants
Job Description
Your Role
- Design and develop enterprise-grade Generative AI applications using LLMs.Build and optimize Retrieval-Augmented Generation (RAG) solutions.
- Develop AI agents and multi-agent workflows using frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar.
- Integrate AI models with enterprise systems, APIs, databases, and knowledge repositories.
- Fine-tune, evaluate, and optimize foundation models for business use cases.
Your Profile
- Strong experience with OpenAI GPT, Azure OpenAI, Claude, Gemini, Llama, Mistral, or similar models.
- Expertise in Prompt Engineering and Context Engineering.Hands-on experience with RAG pipelines and vector databases.
- Experience with fine-tuning, model evaluation, and inference optimization.
- Knowledge of AI guardrails, hallucination mitigation, and responsible AI practices.
What you love about working here
- We offer a range of career paths and internal opportunities within Capgemini group.
- You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work.
- At Capgemini, you can work oncutting-edge projectsin tech and engineering with industry leaders or createsolutionsto overcome societal and environmental challenges
More Info
Key Skills
vector databases
Claude
Azure OpenAI
Context Engineering
LangGraph
AI guardrails
model evaluation
Retrieval-Augmented Generation (RAG)
Mistral
RAG pipelines
responsible AI practices
LangChain
CrewAI
Generative AI
fine-tuning
OpenAI GPT
LLMs
Semantic Kernel
AutoGen
inference optimization
Llama
hallucination mitigation
Prompt Engineering

