Senior Machine Learning Engineer

Overview

Senior Machine Learning Engineer responsible for developing, training, validating, and optimizing machine learning and deep learning models for ADAS and automotive validation use cases.

What you'll do

• Design, train, fine-tune, and validate ML and deep learning models.
• Build end-to-end pipelines for data acquisition, curation, preprocessing, labeling, and evaluation.
• Develop models for perception, signal processing, event detection, and validation workflows.
• Analyze data quality, class imbalance, labeling accuracy, data drift, and feature distributions.
• Implement distributed training workflows on AWS, Azure, and HPC environments.
• Develop evaluation frameworks and investigate model failures with algorithm and validation teams.
• Support vehicle testing, instrumentation, data collection, and automotive sensor-data processing.

What you'll need

• 6–8 years of industry experience in machine learning, data science, deep learning, or related fields.
• Bachelor's or Master's degree in a relevant technical discipline.
• Strong Python skills and experience building production-grade ML pipelines.
• Experience training ML and deep learning models from scratch with large-scale datasets.
• Experience with dataset creation, labeling, cleaning, augmentation, feature engineering, and quality assessment.
• Understanding of model evaluation, validation methodologies, and error analysis.
• Understanding of automotive signals, ECUs, CAN, Ethernet, and embedded systems fundamentals.

Nice to have

• Experience with ADAS, autonomous driving, robotics, automotive, or perception datasets.
• Experience with transformer-based or foundation models.
• Familiarity with MLOps tools such as MLflow, Weights & Biases, Kubeflow, Azure ML, or SageMaker.
• Knowledge of explainability, bias analysis, robustness testing, and AI validation.
• Experience with GPU optimization, distributed training, or large-scale data processing frameworks.
• Exposure to C/C++, MATLAB, signal processing, embedded software, CANoe, CANalyzer, or SIL/HIL environments.

Details

• Location: Bangalore, India.
• Hands-on vehicle testing and data collection are part of the role.