Senior MLOps Engineer

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.

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.

,[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: Degree, Machine Learning, AWS, CloudWatch, AWS S3, MLOps, GPU, Deep learning, Python, AI, PhD Additionally: a professional development budget, Group insurance, Medicover health insurance, Flat structure, Small teams, International projects, Events and team-building activities, Free coffee, Free parking, Startup atmosphere.