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Machine Learning Engineer - T7E Aftermarket Connect Pvt. Ltd.
ML Engineer
Lead the design and deployment of predictive models and recommendation engines on AWS, driving personalized loyalty and engagement for automotive and construction trade partners.
About the role
Key Responsibilities
- Architect and implement end‑to‑end machine learning pipelines for recommendation and propensity models that power loyalty offers and engagement nudges.
- Develop demand forecasting models to predict product needs across auto aftermarket, building & construction, and agriculture sectors.
- Collaborate with data engineering teams to ingest, clean, and feature‑engineer large transactional datasets.
- Deploy models to production on AWS, ensuring scalability, reliability, and monitoring.
- Iterate on model performance, conducting A/B tests and analyzing business impact.
Requirements
- Strong experience with Python, scikit‑learn, TensorFlow or PyTorch for building production‑ready models.
- Proficiency in AWS services (SageMaker, Lambda, S3, Redshift) and CI/CD for ML workflows.
- Hands‑on experience with recommendation systems and time‑series forecasting.
- Excellent analytical skills and ability to translate business problems into data solutions.
- Effective communication skills to present findings to senior leadership.
Skills
pythonmachine learningaws