Role & responsibilities:

- Lead end-to-end ML initiatives across retail use cases

- Architect and deploy ML models

- Design and manage Cloudflare R2 object storage

- Define metadata standards, indexing, and cataloging strategies on R2

- Integrate R2 with ML pipelines, APIs, and inference services

- Own ML lifecycle: training, deployment, monitoring, retraining

- Implement MLOps best practices and cost-effective storage strategies

- Work closely with business, merchandising, supply chain, and IT teams

- Mentor ML engineers and review architecture & code

- Translate retail KPIs into ML success metrics

Preferred candidate profile:

- Expert proficiency in Python

- Strong knowledge of Machine Learning, Statistics, and Optimization

- Hands-on experience with Scikit-learn, TensorFlow, PyTorch

- Strong experience in time-series forecasting





- Experience deploying ML models at scale (batch & real-time)

- Strong SQL skills

- Hands-on experience with Cloudflare R2 Object Storage

- Experience in data cataloging, metadata management, and indexing

- Solid software engineering & system design skills

Leadership & Soft Skills:

- Proven experience leading ML teams

- Strong stakeholder management with retail business teams

- Ability to convert business problems into ML-driven solutions

- Mentorship and ownership mindset

Educational Qualification:

- Bachelors / Master’s degree in CS, AI, Data Science, or related field

- Equivalent hands-on experience accepted

📌 Lead Machine Learning Developer (Retail) (Chennai)
🏢 Poorvika Mobiles
📍 Chennai