Sr. Engineer - Machine Learning

Magna International Inc.; Maharashtra; On-site; INR 2,800,000 - 6,000,000; Full time

Job summary

Magna Electronics in Maharashtra, India, is seeking an ML-focused engineer to design tools for scenario classification, anomaly detection, and sensor data processing (vision, radar, LiDAR). You will build scalable pipelines, automate data curation, and integrate tools into existing verification ecosystems.

The role demands building reproducible ML workflows with Docker and CI/CD, collaborating with verification and test teams, and mentoring juniors while driving innovation across the ADAS test

Qualifications

• Experience designing ML-based tools for data analytics and automation.
• Strong background in sensors data (vision, radar, LiDAR).
• Experience with Docker, CI/CD and reproducible ML workflows.
• Ability to collaborate with verification and test teams.

Responsibilities

• Design and implement ML-based tools for scenario classification, tagging, and search.
• Anomaly detection in test data.
• Build pipelines to ingest, preprocess, and transform camera, radar, and LiDAR data.
• Develop automated data curation workflows.
• Create reproducible ML workflows with Docker, CI/CD, and versioning.
• Guide junior engineers on ML best practices.
• Collaborate with perception, systems, and test teams to drive tool adoption.
• Drive innovation by identifying ML opportunities across the ADAS test ecosystem.

Skills

ML

Python

Data pipelines

Computer vision

Sensor fusion

Tools

Docker

CI/CD

Job description

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What we offer

At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.

Group Summary

Transforming mobility. Making automotive technology that is smarter, cleaner, safer and lighter. That's what we're passionate about at Magna Electronics, and we do it by creating world-class Electronic systems. We are a premier supplier for the global automotive industry with full capabilities in design, development, testing and manufacturing of complex Electronic systems. Our name stands for quality, environmental consciousness, and safety. Innovation is what drives us and we drive innovation. Dream big and create the future of mobility at Magna Electronics.

Job Responsibilities

• Design and implement ML based tools for:
  • Scenario classification, tagging, and search
  • Anomaly detection in test data
  • Sensor data quality assessment (vision, radar, LiDAR)
  • Behavior analytics, KPI extraction, and automated reporting
• Build smart assistants to support test prioritization, risk based testing, and regression selection.
• Create scalable pipelines to ingest, preprocess, and transform camera, radar, and LiDAR datasets.
• Develop automated data curation workflows (filtering, clustering, stratified sampling).
• Implement model agnostic interfaces for dataset replay in SIL/HIL environments.
• Develop applications for:
  • Ground truth generation (manual & semi automated)
  • Sensor fusion visualization and annotation tooling
  • Offline inference benchmarking and KPI trend analysis
  • Integrate applications into existing verification ecosystems (HIL benches, simulation platforms, CI/CD).
• Build ML modules that plug into:
  • SIL/HIL simulation frameworks
  • Scenario orchestration and execution engines
  • Continuous integration & validation pipelines
• Work closely with system verification teams to define KPIs, metrics, and evaluation frameworks.
• Create reproducible ML workflows using Docker, CI/CD, artifact versioning, and automated tests.
• Implement continuous dataset and model monitoring for quality and drift.
• Maintain documentation, versioning, and traceability aligned with safety expectations.
• Guide junior engineers and interns on ML best practices.
• Collaborate with perception, systems, and test teams to ensure tool adoption and integration.
• Drive innovation by identifying ML opportunities across the ADAS test ecosystem.

Awareness, Unity, Empowerment

At Magna, we believe that a diverse workforce is critical to our success. That's why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. AI-Assisted Screening Disclosure As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies. Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making. If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.

Worker Type

Regular / Permanent Group: Magna Electronics

We see a future where everyone can live and move without limitations. That's why we are developing technologies, systems and concepts that make vehicles safer and cleaner, while serving our communities, the planet and, above all, people. In the right environment, your ideas can turn into industry-changing automotive technologies and improve the lives of people around the world. Let's create the future of mobility, together.

Learn more about us: Sustainability Innovation Interview-Tips