Key Responsibilities:
- Build, train, and validate machine learning models for prediction, classification, and clustering to support NBA use cases.
- Conduct exploratory data analysis (EDA) on both structured and unstructured data to extract actionable insights and identify behavioral drivers.
- Design and deploy A/B testing frameworks and build pipelines for model evaluation and continuous monitoring.
- Develop vectorization and embedding pipelines using models like Word2Vec, BERT, to enable semantic understanding and similarity search.
- Implement Retrieval-Augmented Generation (RAG) workflows to enrich recommendations by integrating internal and external knowledge bases.
- Collaborate with cross-functional teams (engineering, product, marketing) to deliver data-driven Next Best Action strategies.
- Present findings and recommendations clearly to technical and non-technical stakeholders.
Required Skills & Experience:
- Strong programming skills in Python, including libraries like pandas, NumPy, and scikit-learn.
- Practical experience with text vectorization and embedding generation (Word2Vec, BERT, SBERT, etc.).
- Proficiency in Prompt Engineering and hands-on experience in building RAG pipelines using LangChain, Haystack, or custom frameworks.
- Familiarity with vector databases (e.g., PostgreSQL with pgvector, FAISS, Pinecone, Weaviate).
- Expertise in Natural Language Processing (NLP) tasks such as NER, text classification, and topic modeling.
- Sound understanding of supervised learning, recommendation systems, and classification algorithms.
- Exposure to cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes) is a plus.
Experience – 5+ years
Job Type: Full-time
Pay: ₹800,000.38 - ₹3,000,000.60 per year
Benefits:
- Health insurance
- Paid time off
Schedule:
- Day shift
Location:
- Viman Nagar, Pune, Maharashtra (Preferred)
Work Location: In person
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