Data Scientist

Tätigkeitsbereich:Forschung & Entwicklung incl. DesignFachabteilung:Production Planning 1Gesellschaft:Mercedes-Benz Research and Development India Private LimitedStandort:Mercedes-Benz Research and Development India Private Limited, BangaloreStartdatum:sofortVeröffentlichungsdatum:..6Stellennummer:MER3VRCArbeitszeit:Vollzeit BewerbenAufgaben

About the Team

Join an elite AI group shaping the future of self-driving mobility. Our Autonomous Intelligence (AI²) team builds ML systems, perception-driven insights, predictive models, and simulation-validated algorithms that power next-generation autonomous vehicles.
We work with petabyte-scale multimodal datasets collected from global test fleets—LiDAR, Radar, Camera, CAN, HD Maps—and transform them into deployable intelligence for safer and smarter mobility.

What You’ll Do

Design algorithms for data mining, clustering, pattern recognition, and anomaly detection in large-scale autonomous-driving datasets.

Architect and deploy end-to-end ML pipelines for perception analytics, driving behavior modeling, risk assessment, and ADAS validation.

Evaluate the performance of ML/DL algorithms (e.g., object detection, tracking, sensor fusion, trajectory prediction) using state-of-the-art metrics.

Build and optimize feature stores, real-time data processing pipelines, and large-scale distributed computing systems.

Work with global teams to implement technical solutions using Azure, Databricks, Kubernetes, and Spark ecosystems.

Develop advanced visualizations/dashboards for fleet insights, behavior analytics, and safety validation.

Collaborate with perception, localization, simulation, and cloud teams to integrate ML models into production AV systems.

Drive research on next-generation approaches using transformer models, foundation models for AV, and generative simulation.

Required Technical Skills

Programming & Data Engineering

Expert in Python, PySpark, MLlib, SQL; strong in Scala (nice to have)

Strong experience with distributed data pipelines and big-data architecture

Hands-on with Delta Lake, Databricks, MLFlow, Feature Store

Machine Learning / Deep Learning

Solid understanding of:CNNs, RNNs, LSTM/GRUTransformers (ViT, DETR, BEVFormer, BEVFusion)Self-supervised learning (MAE, etc.)Reinforcement learning (for behavior modeling)Probabilistic modeling, Bayesian ML

Experience evaluating ADAS/AV algorithms for:Object detection & trackingLane & road feature extractionTrajectory predictionDriving style classification

Cloud / DevOps

Strong experience building CI/CD workflows with:Kubernetes, Docker, HelmAzure Cloud (ADF, HDInsight, AKS, Azure Storage, Databricks)

Nice to have:AWS or GCP exposureKafka / EventHub stream processingElasticsearch + Kibana dashboards

Autonomous Driving Domain Skills

Experience with:Sensor data: Camera, LiDAR, Radar, CANSimulation tools: CARLA, NVIDIA DRIVE SimHD maps / map-matchingAnnotation/labeling pipelinesSafety metrics for AV validation (RSS, TTC, decel models)

Education

Bachelor’s/Master’s in Computer Science, Electrical/EC Engineering, Robotics, or similar

Candidates with research publications/patents in AV/ADAS/ML get high preference

Why Join

Solve meaningful, globally impactful problems

Work with petabyte-scale multi-sensor data

Build intelligence for the next era of self-driving vehicles

Collaborate with global experts in AI, robotics, software, cloud, and automotive

Qualifikationen

About the Team

Join an elite AI group shaping the future of self-driving mobility. Our Autonomous Intelligence (AI²) team builds ML systems, perception-driven insights, predictive models, and simulation-validated algorithms that power next-generation autonomous vehicles.
We work with petabyte-scale multimodal datasets collected from global test fleets—LiDAR, Radar, Camera, CAN, HD Maps—and transform them into deployable intelligence for safer and smarter mobility.

What You’ll Do

Design algorithms for data mining, clustering, pattern recognition, and anomaly detection in large-scale autonomous-driving datasets.

Architect and deploy end-to-end ML pipelines for perception analytics, driving behavior modeling, risk assessment, and ADAS validation.

Evaluate the performance of ML/DL algorithms (e.g., object detection, tracking, sensor fusion, trajectory prediction) using state-of-the-art metrics.

Build and optimize feature stores, real-time data processing pipelines, and large-scale distributed computing systems.

Work with global teams to implement technical solutions using Azure, Databricks, Kubernetes, and Spark ecosystems.

Develop advanced visualizations/dashboards for fleet insights, behavior analytics, and safety validation.

Collaborate with perception, localization, simulation, and cloud teams to integrate ML models into production AV systems.

Drive research on next-generation approaches using transformer models, foundation models for AV, and generative simulation.

Required Technical Skills

Programming & Data Engineering

Expert in Python, PySpark, MLlib, SQL; strong in Scala (nice to have)

Strong experience with distributed data pipelines and big-data architecture

Hands-on with Delta Lake, Databricks, MLFlow, Feature Store

Machine Learning / Deep Learning

Solid understanding of:CNNs, RNNs, LSTM/GRUTransformers (ViT, DETR, BEVFormer, BEVFusion)Self-supervised learning (MAE, etc.)Reinforcement learning (for behavior modeling)Probabilistic modeling, Bayesian ML

Experience evaluating ADAS/AV algorithms for:Object detection & trackingLane & road feature extractionTrajectory predictionDriving style classification

Cloud / DevOps

Strong experience building CI/CD workflows with:Kubernetes, Docker, HelmAzure Cloud (ADF, HDInsight, AKS, Azure Storage, Databricks)

Nice to have:AWS or GCP exposureKafka / EventHub stream processingElasticsearch + Kibana dashboards

Autonomous Driving Domain Skills

Experience with:Sensor data: Camera, LiDAR, Radar, CANSimulation tools: CARLA, NVIDIA DRIVE SimHD maps / map-matchingAnnotation/labeling pipelinesSafety metrics for AV validation (RSS, TTC, decel models)

Education

Bachelor’s/Master’s in Computer Science, Electrical/EC Engineering, Robotics, or similar

Candidates with research publications/patents in AV/ADAS/ML get high preference

Why Join

Solve meaningful, globally impactful problems

Work with petabyte-scale multi-sensor data

Build intelligence for the next era of self-driving vehicles

Collaborate with global experts in AI, robotics, software, cloud, and automotive

Benefits Mit­arbeiter­rabatte möglich Gesund­heits­maß­nahmen Mit­arbeiter­handy möglich Essens­zulagen Betrieb­liche Alters­ver­sorgung Hybrides Arbeiten möglich Mobilitäts­angebote Mit­arbeiter Events Coaching Flexible Arbeits­zeit möglich Kinder­betreuung Park­platz Kantine, Café Gute An­bindung Barriere­frei­heit Betriebs­arzt

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