Senior Data Scientist

Key Responsibilities

· Design, build, and deploy advanced ML models (regression, classification, NLP, etc.).

· Architect and implement deep learning pipelines using PyTorch or TensorFlow.

· Develop and fine-tune LLM-based applications (e.g., RAG pipelines, prompt engineering, embeddings).

· Lead and mentor junior data scientists and drive code quality and reuse.

· Apply MLOps practices: CI/CD for ML, model monitoring, reproducibility.

· Write basic SQL queries to support data processing and feature engineering.

· Collaborate cross-functionally with product, engineering, and data engineering teams.

Requirements

· 5+ years of experience in machine learning and AI.

· Expert in Python, data science libraries, and deep learning frameworks.

· Strong knowledge of regression, classification, optimization algorithms, and evaluation metrics.

· Hands-on experience with PyTorch or TensorFlow (preferably both).

· Proven experience working with LLMs and prompt-based models.

· Experience in MLOps and deploying ML models to production.

· Basic proficiency in SQL for querying structured data.

· Proficient in using Git/GitHub for collaborative development.

Good to Have

· Experience building or integrating AI agents using LangChain, AutoGen, or similar tools.

· Knowledge or experience with reinforcement learning algorithms.

Activities:

1. Data Engineering -code optimization

2. Feature Eng -code optimization

3. Model training -code optimization

4. API creation, make it deployable

5. Audit, logging, perf & drift handling

6. Deployment and Support