Description

You will build and deploy machine learning models for classification, regression, and clustering, applying foundational GenAI concepts like embeddings, summarization, and RAG.

This role is on-site.

Responsibilities

• Build and deploy ML models for classification, regression, and clustering tasks.
• Apply GenAI concepts including embeddings, summarization, and RAG.
• Utilize APIs and tools like LangChain and vector databases.
• Prepare documentation and interpret model results.

Required Skills

• 4+ years of hands-on experience in Python.
• Strong proficiency with Scikit-learn and Pandas.
• Practical knowledge of model evaluation, feature engineering, and model tuning.
• Familiarity with LangChain and vector databases (Pinecone, FAISS).
• Basic exposure to FastAPI or Flask.

Preferred Skills

• Experience with any Graduate education.

Key Skills

Education

Any Gradute