Data Scientist, Agentic AI & Generative AI
Overview
You own enterprise AI solutions end to end: LLMs, Agentic AI, RAG, and Generative AI. You join a senior team building cloud-native architectures on Azure OpenAI and AWS. You ship production-grade systems from design through deployment. This role drives measurable business outcomes with Python, FastAPI, and LangChain. You lead technical strategy and mentor junior engineers from day one.
What You'll Do8
- 1Design agentic AI workflows with LangChain and LangGraph to automate complex decision chains.
- 2Build and deploy RAG pipelines on Azure OpenAI for enterprise knowledge retrieval.
- 3Ship production AI services with FastAPI and containerization on AWS.
- 4Fine-tune and evaluate GPT-4 and other LLMs for domain-specific tasks.
- 5Lead ML model lifecycle from experimentation to monitoring, using TensorFlow and PyTorch.
- 6Drive predictive analytics models with Scikit-learn and SQL on large datasets.
- 7Collaborate with data engineers to integrate streaming and batch data sources.
- 8Mentor junior data scientists on best practices for AI engineering.
Requirements7
- 111+ years hands-on experience in AI/ML, Data Science, and Predictive Analytics.
- 2Expert-level Python and SQL for data manipulation and modeling.
- 3Strong production experience with Scikit-learn, TensorFlow, and PyTorch.
- 4Hands-on with GPT-4 and other LLMs, with proven deployment in enterprise settings.
- 5Deep expertise in Agentic AI and RAG architectures using LangChain and LangGraph.
- 6Build scalable APIs with FastAPI and deploy on Azure OpenAI and AWS.
- 7Solid understanding of cloud-native AI architectures, including containerization and orchestration.
Salary Insight
Salary not disclosed in listing
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