Description
You will be responsible for building and deploying ML models for classification, regression, and clustering tasks.
Responsibilities
- Build and deploy ML models for classification, regression, and clustering tasks.
- Apply foundational GenAI concepts, including embeddings, summarization, and RAG.
- Utilize APIs and tools like LangChain and vector databases (e.g., Pinecone, FAISS).
- 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.
- Any Graduate education required.