Job Summary

Machine Learning Engineer. Location: Mumbai, Maharashtra, India. Experience: 3-6 years. As our Machine Learning Engineer, you will be the architect of the intelligence layer: building models that predict behaviour, personalise engagement, and drive measurable outcomes for our clients' trade ecosystems. This is a founding ML role with direct visibility to the COO and CEO.

What you will build

- Recommendation and propensity models that drive personalised loyalty offers and mechanic/retailer engagement nudges
- Demand forecasting and redemption prediction pipelines for our rewards fulfilment engine
- Churn prediction and re-engagement scoring across 200K+ trade partner profiles
- Segmentation and clustering models to enable targeted campaign execution for brand clients
- Dashboards and APIs that surface ML outputs to product, ops, and client-facing teams
- Data pipelines and feature stores to ensure clean, consistent ML-ready data across platforms

What we are looking for

- 3-6 years of hands-on ML engineering experience not just research, but deployed, production models
- Strong background in e-commerce, loyalty, fintech, or consumer platforms where ML drove business outcomes
- Proficiency in Python (scikit-learn, XGBoost,



TensorFlow or PyTorch), SQL, and REST APIs
- Experience building recommendation systems, propensity models, or NLP-driven personalisation
- Comfort working with messy, real-world transactional data field ops, POS, scan logs, redemption records
- Ability to communicate model outputs to non-technical stakeholders client teams, ops, and leadership
- Based in or willing to relocate to the Central Line / Navi Mumbai / Thane corridor

Good to have

- Experience with MLOps tooling MLflow, Airflow, Docker, or cloud ML platforms (AWS SageMaker / GCP Vertex)
- Exposure to GenAI or LLM-based applications (RAG, fine-tuning, prompt engineering)
- Prior work in trade marketing, channel loyalty, or distribution ecosystem analytics
- Knowledge of Marathi or Hindi helpful for understanding field data context

Tech setting

- Python
- SQL / mysql
- REST APIs
- Node.js stack

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Machine Learning Engineer (Mumbai)
🏢 T7e
📍 Mumbai