Role

Senior ML Engineer, Production ML & Data Engineering

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About the UNIT/ Unit Overview

Digital Product Engineering

Location

Pune

Experience:

+ 5

Number of openings

1

What awaits you/ Job Profile

Work at the forefront of vehicle development with state-of-the-art data/ML solutions.

Make a tangible impact on vehicle performance, safety, and driver experience through robust production systems.

Collaborate in an international, cooperative environment with clear growth and development paths.

We value ownership, transparency, and continuous improvement, enabling you to showcase your expertise.

- Join BMWTechWorks India within the Digital Product Engineering cluster, in the Unit Methods/Tools, to design, deploy, and evolve production-grade ML models and data pipelines for the Digital Tire Diagnosis product.
- Own end-to-end ML solutions: data pipelines, model training, deployment, monitoring, and continuous improvement.
- Compare model families, optimize hyperparameters, validate performance, and maintain versioned releases in production.
- Build robust ETL/feature pipelines (batch and streaming), curate data assets, and implement automated tests, observability, and CI/CD practices.
- Develop dashboards to monitor model and pipeline performance, conduct robustness and security checks, and ensure cloud governance and data asset hygiene.

What should you bring along

- A hands-on, end-to-end mindset with ownership for production ML systems, from data ingestion to monitoring and governance.
- Strong collaboration skills to work in cross-functional,



data-driven product teams.
- Ability to document complex architectures clearly and concisely for stakeholders and governance bodies.
- Proactive, detail-oriented approach with a focus on stability, security, and regulatory/compliance requirements.

Must have technical skill

- Proficiency in Python, PySpark, SQL; solid experience with modern ML frameworks (TensorFlow, PyTorch, scikit-learn).
- Hands-on with AWS services (S3, Glue, IAM, Lambda, Athena) and cloud data governance practices; experience with CDH/Hive environments.
- Experience with Spark-based pipelines; familiarity with Palantir Foundry is a plus.
- Knowledge of model monitoring, explainable AI, drift/bias analysis, and ML security practices.
- Experience implementing CI/CD for ML/data projects, Git workflows, infrastructure as code, and QA/test frameworks.
- Ability to design, implement, and document scalable data assets (schemas, partitioning, data quality rules, catalog entries).
- Robust communication skills to articulate architecture and governance requirements to technical and non-technical stakeholders.
- Good to have Technical skills

- Experience with adversarial testing, robustness analyses, and threat modelling.
- Familiarity with dashboards and observability tools for ML models and data pipelines (e.g., drift metrics, SLAs, alerts).
- Prior exposure to automated testing strategies for data and ML components.
- Knowledge of data privacy, security compliance standards, and industry best practices in automotive/industrial contexts.
- Experience with scheduling and orchestration tools (Foundry Schedules, Airflow-style tooling) for end-to-end data workflows.

📌 Senior ML Engineer, Production ML & Data Engineering (Maharashtra)
🏢 BMW TechWorks
📍 Maharashtra