- Design and implement robust data preparation pipelines tailored for manufacturing data.

- Collaborate with engineering and domain teams to deliver scalable and reusable data solutions.

- Contribute to the architecture and development of a real-time recommendation system.

- Ensure production readiness, including model deployment and real-time inference capabilities.

- Work within a global, cross-functional agile team.

Must-Have Qualifications :

- 6+ years of overall experience, with at least 6+ years in Data Science & ML.

- Strong Python programming and ML libraries (scikit-learn, pandas, etc.)

- Proven experience with manufacturing data and processes.

- Hands-on in building recommender systems.

- Experience in deploying ML models in production (real-time inference, MLOps).

- Proficiency in SQL, PySpark, data engineering pipelines.

- Exposure to cloud platforms (AWS/GCP/Azure) and containerization (Docker, Kubernetes).

Mandate Experience :

- Prior experience in CPG/FMCG domain.

- Experience in Manufacturing domain / Logistics domain.

- Hands-on with real-time recommendation engines.