Senior MLOps Engineer

Who are we looking for? We are looking for a Senior MLOps Engineer to join our team.

On a daily basis, you’ll work with Senior Machine Learning Engineers, a Machine Learning Architect, and a client based in the U.S. About the project: We’re applying our know-how and experience from medical projects to image data from a completely different industry—a major challenge, but also an incredibly interesting project in which we’ve already achieved significant success! :) Technology stack AI, ML AWS, Python TensorFlow/Keras, NumPy, SciPy, scikit-learn Pandas Jupyter Notebook Nice to have: PyTorch, MLFlow, ITK/VTK/PyVista, OpenCV What will You find here? fascinating projects—you can have a real impact on people’s health and lives, high technical standards in our projects—you’ll really spread your wings here, great people with a proactive approach to work, events and team-building activities—we enjoy spending time together 😊 , a professional development budget, group insurance, medicover health insurance, hybrid work arrangements and flexible hours, the opportunity to collaborate with the scientific community on an ongoing basis and publish in scientific journals About the Company:

At Graylight Imaging, we develop technologies for the medical field, with a particular focus on analysing medical imaging studies. In addition to commercial projects, we conduct our own R&D, building machine learning algorithms for cardiology. As a member of our team, you’ll contribute to solving problems that no one has solved before, with the goal of tangibly improving people’s health and lives.

Daily tasks

• designing and implementing systems that process medical data, particularly systems that utilise machine learning methods;
• conducting experiments to test designed algorithms, particularly deep neural networks used to process image data from computed tomography (CT) or magnetic resonance imaging (MRI);
• processing and analysing digital signals and developing methods for drawing conclusions based on them;
• validating and evaluating the correct operation of algorithms at every stage of software development, from proof-of-concept through prototype development to the certification of the algorithm as a medical device;
• creating project documentation, including reports on conducted experiments;
• collaborating with software engineers to develop technical solutions and components for IT projects;
• analysing business requirements and designing technical architecture for testing and implementing comprehensive solutions;
• mentoring and providing technical oversight of the work of machine learning engineers;
• carrying out assigned tasks within projects in collaboration with other machine learning engineers and software engineers;
• facilitating knowledge sharing and process optimisation within the team;
• representing the company at conferences and industry events;
• supporting sales and business processes by providing technical support or input for proposals and/or applications.

Requirements

What are we looking for in a candidate? a technical college degree (a PhD in computer science, statistics, or mathematics is a plus), at least 3 years of experience in the field of ML, experience working with AWS (AWS Batch, CloudWatch, SageMaker, S3, etc.) experience in performing MLOps tasks (knowledge of Amazon SageMaker, MLFlow, Weights & Biases), creating experiment hierarchies, enabling tracking of parameters and repositories, and building pipelines for preprocessing, training, and inference. optimising pipelines by offloading operations from the CPU to the GPU, and developing computational methods such as signal filtering and analysis for the time and frequency domains. very good knowledge of data visualisation, exploration, and analysis techniques (especially for numerical and image data, particularly 3D), knowledge of statistics, algebra, and mathematical analysis (statistical tests, vector and matrix calculus) knowledge of machine learning (particularly deep learning), very good knowledge of neural network architectures, including CNN and UNet, good knowledge of the Python programming language, very good knowledge of image processing and analysis algorithms, the ability to efficiently implement and verify methods described in the literature, particularly those related to machine learning, an understanding of the advantages and disadvantages of machine learning-based algorithms, as well as the ability to present developed solutions in a clear and comprehensive manner, independence, proactivity, openness to change, communication skills, analytical thinking, the ability to organize work and manage time effectively, very good knowledge of English—at least C1.

Must have: AI, Degree, Machine Learning, AWS, CloudWatch, AWS S3, MLOps, GPU, Deep learning, Python

Nice to have: PhD