Machine Learning Engineer

Mulund - Mumbai 3-6 Yr

ABOUT THE ROLE

T7E Aftermarket Connect is building a Trade Growth Engine an intelligent, data-driven platform that powers loyalty, rewards, and channel activation for leading brands across Auto Aftermarket, Building Construction, and Agriculture. 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 (office: Mulund West)

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 ENVIRONMENT

Python SQL / MySQL
REST APIs
Node.js stack

WHY T7E

12-year-old profitable company scaling from 20 Cr to 100 Cr ML is central to that journey, not a side experiment
Direct access to real trade data: scan logs, loyalty transactions, FSO field activity across 5+ marquee clients
Lean, senior team you will own the ML charter end to end, not be a cog in a large data science org
SME IPO on the horizon early equity conversation possible for the right profile
Clients include ENI, Castrol, Gulf, Akzo Nobel, Michelin, Pidilite, SKF real industry depth

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