Software Engineer Machine Learning Infrastructure (MLOps)Do you have experience from ML orchestration and are you excited about automation for execution of Machine Learning algorithms? Do you want to work with cutting-edge technology within fields such as machine vision, AI, optics, and mechatronics?If the answer to these questions is a solid yes, then welcome to BioSort. We have the ambition to become the world leader in sensor-based solutions for optimization of fish resources. We already have a team dedicated to solving some of the most important challenges in aquaculture, challenges that are highly complex, technologically challenging, yet incredibly exciting.BioSort's success depends entirely on the knowledge and capabilities of our employees, and we are always on the lookout for the brightest heads within Tech. We currently have engineers and consultants developing the infrastructure and backend, embedded systems for real time edge computing, and optical design, supporting our computer vision systems. We are now expanding the team within MLOps and are looking for someone who wants to join us in designing, building, and maintaining optimized and scalable ML platforms.The role of MLOpsYou will work in a team to:· Create automation for execution of Machine Learning algorithms· Build MLOps pipelines to support continuous integration and delivery, verification/validation, and monitoring of ML modelsDesign, build and maintain optimized and scalable ML platforms for machine learning and data science teamsWork with ML developers to solve complex problems and create unique solutionsContribute to the continuous evaluation of latest packages and frameworks in the ML ecosystemTechnologies we use, amongst others: · Pipelines implementation: CI/CD/CT · Docker, Kubernetes, DevSecOps, and GitOps practices· Bash, Go, Python, C/C++, Go, Rust· Luigi, Kubeflow, Airflow, MLFlow, PyTorch, Tensorflow, Nvidia Triton, ONNXThe candidate we are looking for We would like to think you have a master’s degree in computer science, cybernetics, or equivalent. Alternatively, a combination of advanced technical education and work experience. Ideally, you have three to five years of experience in the operationalization of machine learning and data science projects, and understand ML frameworks such as PyTorch, Tensorflow or ONNX. You also have experience with one of the major cloud platforms like AWS, GCP, or Azure.For this position, we are looking for someone who ideally have knowledge of large-scale image/video data in the context of machine learning, as well as competence in infrastructure automation (infrastructure as code). You will also have experience from the ML lifecycle, featuring engineering, model training, testing, deployment, monitoring, and versioning.We hope that you have experience in some, or all the technologies mentioned above, and we further hope you have a good understanding of image formats, image processing techniques and computer vision techniques.Working at BioSortWe have created an environment where your opinion matters, and although we classify ourselves as a start-up, we have “large company stability”. Our team gets to work with products and solutions with a purpose / green technology (sustainable salmon-farming products).Other things we would like to highlight:Excellent salary and benefitsStock optionsWork with colleagues with a real know-how – all the steps it takes to reach goalsGreen technology – a purpose behind the productsWe build the whole technology eco-system ourselvesNice open office, by the waterElectronics lab and a 20.000-liter pool for local tests with fish in sea waterCoffee from Solberg & Hansen in the officeSeveral very good Cantinas, Gym, Coffee shop, and KIWI in the buildingIf you are intrigued to apply, please do so by clicking “Søk på stillingen her». If you need more information about the position and company, please reach out to Stine Margrethe Heyerdahl Beckholt in AvantGarde Search - Stine will happily have a conversation with you and could send you a detailed prospect.Do you know someone that fits this description perfectly? Make sure they know about this position!Welcome to BioSort!