Job Title: AI/ML Engineer – Automotive Data, Dev Ops & Developer Productivity
We are looking for an AI/ML Engineer with around 4 years of experience , preferably in the automotive domain , to support the design, development, deployment, and maintenance of AI/ML solutions for connected, embedded, or vehicle-related applications. The ideal candidate should have hands-on experience in machine learning , data pipelines , and Dev Ops/MLOps practices , along with exposure to AI-driven developer productivity tools and methods to improve engineering efficiency, code quality, and automation.
Key Responsibilities
Design, develop, and optimize AI/ML models for automotive use cases such as driver monitoring, predictive analytics, perception, diagnostics, or connected vehicle applications.
Build and maintain data pipelines for data collection, preprocessing, transformation, validation, and feature engineering from structured and unstructured sources.
Work on end-to-end model lifecycle activities including training, evaluation, deployment, versioning, and performance monitoring.




Collaborate with software, data, validation, and platform teams to integrate AI/ML components into production systems.
Support deployment of AI/ML workloads using Dev Ops/MLOps practices , including CI/CD, containerization, automated testing, and infrastructure management.
Develop and maintain scripts, APIs, and services for scalable model serving and batch/stream processing.
Contribute to developer productivity initiatives by leveraging AI tools for code review, code generation, documentation, test-case generation, defect analysis, and workflow automation.
Evaluate and integrate AI-assisted engineering tools to improve software development speed, code quality, and release efficiency.
Ensure data quality, reproducibility, and traceability across datasets, code, and model artifacts.
Participate in troubleshooting, root-cause analysis, and continuous improvement of deployed AI/ML solutions.
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📌 Ai/ml engineer – (Bengaluru)
🏢 Stellantis
📍 Bengaluru