Data Engineer
Core
Building scalable data pipelines and production-ready data assets to enable machine learning and AI for global data products.
Role type
Senior Data Engineer with ML integration focus
Builds
Scalable data pipelines, structured data assets, and production ML model deployments
Domain
Automotive/Defense technology and AI/ML
Deliverable
production ML models
Required skills
Python, SQL, distributed data processing (Apache Spark, Kafka, Airflow), ML frameworks (TensorFlow, Pytorch, scikit-learn), Transformers/LLM architectures, Federated Learning, CI/CD, JIRA, Git
Preferred skills
Deep-learning model development, algorithmic developments in ML/AI
Technologies
Apache Spark, Kafka, Airflow, TensorFlow, PyTorch, scikit-learn, JIRA, Git
Responsibilities
Design and maintain high-quality, scalable data pipelines; integrate ML frameworks into data workflows; deploy ML models in production environments; work with Transformers and LLM architectures; implement Federated Learning solutions.
Seniority
Senior, hands-on IC
