Job Description

Design, develop, and deploy scalable AI and machine learning solutions. 

Core qualifications:

  • Programming: Previous exposure to Python (NumPy, Pandas, Scikit-learn), experience with ML frameworks (TensorFlow, PyTorch).
  • Machine Learning & Deep Learning: Hands-on experience with supervised, unsupervised, and reinforcement learning techniques.
  • Mathematics & Statistics: Solid foundation in linear algebra, probability, optimization, and statistical modeling.
  • Data Handling: Experience with SQL and NoSQL databases, data preprocessing, and feature engineering.
  • GenAI: Good understanding of vector embeddings and similarity search (cosine/IP/L2), chunking strategies, and reranking. Hands‑on experience building RAG pipelines (indexing, metadata, hybrid search, evaluators). Practical prompt engineering for tool use, function calling, and agent planning. Experience with agentic frameworks (., LangGraph or ...

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