Staff Machine Learning Engineer (f/m/d)

Required skills

deep knowledge of pytorch and distributed training, experience in ML system design, experience in optimizing model architectures for both efficient inference and training, history of building and automating complex data pipelines for ML, familiarity with tools for ML in production and model deployment, strong python coding skills, advocate and expert in best practices and design patterns, experience with version control tools and tools for creating reproducible, containerized environments, experience with CI/CD pipelines, experience working with Cloud providers to scale and automate ML workflows, proven technical leadership on cross-functional initiatives, strategic influence in shaping the long-term technical roadmap for a product or platform, high technical judgment and a pragmatic approach to decision-making, experience with CUDA and GPUs, experience with 3D data, experience with ML in healthcare, familiarity with data privacy and security challenges and techniques like federated learning

Preferred skills

Technologies

pytorch, distributed training, ML system design, model architectures, data pipelines, ML in production, model deployment, python, version control tools, containerized environments, CI/CD pipelines, Cloud providers, CUDA, GPUs, 3D data, ML in healthcare, data privacy and security, federated learning

Responsibilities

lead design and implementation of ML systems, build and improve code for training ML models, collaborate with data scientists in training and fine-tuning ML models, optimize and troubleshoot production ML code and models, deploy and monitor ML models in production, grow the know-how in production ML tools and concepts within the team, guide the team in adopting the best ML engineering practices

Seniority

Staff

Domain

Machine Learning, AI, MRI imaging, healthcare