Job Title : Senior Data Scientist

Location : [Hybrid]

Experience : 5+ years

About the Role :

We are looking for a hands-on Senior Data Scientist to build, deploy, and scale production-grade ML solutions. You will own the end-to-end ML lifecyclefrom data pipelines to deploymentand measure success by real-world business impact.

Key Responsibilities :

Model Development :

- Build and deploy enterprise ML models for forecasting, classification, regression, anomaly detection, and recommendation systems.

End-to-End Pipelines :

- Own the entire ML pipeline, including data ingestion, feature engineering, model training, validation, and production deployment.

Advanced AI/Retrieval :

- Apply embeddings, vector search, and representation learning for similarity and retrieval-augmented workflows (RAG).

MLOps & Observability :

- Drive containerization, CI/CD, versioning, A/B testing, and model monitoring (drift, latency, data quality).

Cross-Functional Collaboration :

- Translate complex business problems into well-scoped technical solutions alongside engineering and product teams.

What Were Looking For :

Experience :

- 5+ years of experience deploying enterprise-grade ML models in a product setting.

Tech Stack :

- Strong proficiency in Python and the core ML stack (Scikit-learn, XGBoost, LightGBM, PyTorch/TensorFlow).

Core Expertise :

- Deep knowledge of supervised/unsupervised learning and time-series forecasting.

Bonus Skills :

- Hands-on experience with vector databases (FAISS, Pinecone, pgvector), LLM/RAG pipelines, and cloud platforms (AWS/GCP/Azure).