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Role purpose: Design, build or support enterprise generative AI applications using commercial and open-source foundation
models. Work with business, data and engineering teams to deliver secure, scalable and measurable outcomes.
Core skills: Python, LLM APIs, transformers, embeddings, RAG, API integration.
Experience: Candidates should have up to 5 years of overall experience, including at least 1-2 years of relevant hands-on
experience in this role or closely related technologies.
Please send your updated profile to [Confidential Information].
Job ID: 149493287
Skills:
data pipeline, API design, Tensorflow, Pytorch, Docker, Python, AWS, Gcp, Azure, Kubernetes, CI CD for AI, Pinecone, backend systems, Mistral, Distributed microservices, model monitoring, LangChain, LLaMA, LLMs, Anthropic, FAISS, xVector DBs, RAG, drift detection, Milvus, OpenAI, Weaviate
Skills:
Matplotlib, Scikit Learn, Tensorflow, Pandas, Seaborn, Keras, Python, AWS, GenAI, LLMs, Azure OpenAI, Bokeh, NVIDIA NIM Omniverse
Skills:
Sql, Python, Machine Learning, Agents, Langchain, LLM techniques, Langgraph, RAG, prompt engineering, Generative AI
Skills:
scalable architecture , Python, Sql, Machine Learning, System Design, Artificial Intelligence, FastAPI, Nosql, Nlp, RAG pipelines, LLMs, Generative AI, LangGraph
Skills:
Sql, Django, REST, Flask, Swagger, Postgres, Redis, FastAPI, Kubernetes, Python, Azure, Restful Apis, attention tokens, context window, AIML, Core AI, LLM behavior, data processing pipelines, MCP, RAG, automation testing frameworks, operational monitoring, Llm, Transformers, OpenAPI, model evaluation procedures, MCP Model Context Protocol, observability, FastMCP, Docket
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