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Senior Deep Learning Engineer
Not specifiedFull-timeAI & Machine LearningCybersecurity
Join an AI team developing and deploying deep learning models and scalable infrastructure for signal and image analysis, including real-time radar applications.
Responsibilities
- Design, implement, and optimize deep learning models and pipelines for signal and image analysis
- Build and maintain AI infrastructure for model training, versioning, monitoring, and deployment
- Develop data ingestion and preprocessing pipelines
- Integrate AI models into real-time radar systems with system engineering teams
- Optimize distributed training, resource utilization, and inference performance
- Conduct performance tuning, testing, and benchmarking for training and inference workloads
- Document infrastructure components, training procedures, and model lifecycle processes
Requirements
- At least 3 years of experience in machine learning or deep learning engineering
- Strong Python skills and experience with PyTorch or TensorFlow
- Bachelor’s degree in electrical engineering, computer engineering, or a related field
- Experience with Git, branching strategies, and collaborative workflows
- Experience designing end-to-end training pipelines covering data ingestion, preprocessing, training, evaluation, and reproducible experimentation
- Experience with data versioning and experiment management tools such as ClearML, MLflow, or DVC
Nice to have
- M.Sc. or Ph.D. in a relevant field