Related skills
python mlops pyspark langchain transformers📋 Description
- Build agentic workflows with LangChain/LangGraph frameworks.
- Develop autonomous agents for data validation, reporting, and docs.
- Deploy scalable, resilient agent pipelines with monitoring.
- Develop GenAI apps using GPT, Gemini, and LLaMA.
- Implement RAG, vector search, prompts, and model evaluation.
- Partner with data scientists to productionize POCs.
🎯 Requirements
- 5-8 years in AI/ML, data science, or software eng; 4+ years GenAI.
- Strong Python, PySpark, and API development skills.
- Experience with LangChain, LangGraph, Transformers, OpenAI/Vertex/Bedrock SDKs.
- Experience building AI agents, retrieval pipelines, or autonomous task orchestration.
- GenAI concepts: prompting, embeddings, RAG, eval metrics, context engineering.
- Cloud platforms (Azure/AWS/GCP), Docker, and ML/AI CI/CD.
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