Senior Data Scientist – GenAI
Posted Updated
Description
We are looking for an experienced professional to join projects focused on Generative AI, LLMs, RAG, and AI Agents. The role combines AI Engineering, Data Science, and AI solution architecture, with a strong focus on building production-ready solutions.
- 6+ years of experience in Data Science, AI Engineering, Machine Learning, or a related field.
- 4+ years of professional Python development experience.
- 2+ years of hands-on experience with LLMs / Generative AI, preferably with RAG-based solutions.
- Strong knowledge of Python, LLMs, RAG, and Generative AI.
- Practical experience with LangChain, LlamaIndex, LangGraph, or similar frameworks.
- Experience with AI Agents / Agentic AI; MCP experience is a strong advantage.
- Knowledge of vector databases, hybrid search, reranking, and LLM evaluation.
- Experience with model fine-tuning, such as LoRA, QLoRA, or SFT.
- Experience with at least one major cloud platform: Azure, AWS, or GCP.
- Familiarity with Docker, Kubernetes, and CI/CD.
- Good understanding of AI/ML architectures and production deployment practices.
- Excellent English communication skills.
Nice to Have
- Experience with Spark / Databricks.
- Experience with GitHub Actions, GitLab CI, or Azure DevOps.
- Experience with multi-agent systems and agentic AI workflows.
- Experience building scalable, production-grade AI systems.
- Experience with multimodal AI models.