Groke Technologies is a solution provider and integrator for maritime Industry to ensure sustainability by providing customer and market focused solutions. The Company was established in 2019 together with Mitsubishi Corporation. We provide high-end digital solutions to the most challenging environments in marine operations. Our solutions will ensure continuous competitiveness to our customers throughout operations lifecycle by increasing automation for better decision making.

We are looking for a talented machine-learning engineer with a hands-on experience in building scalable machine-learning pipelines for production environments. 

You will work in our machine-learning team and take care that our machine-learning models are trained efficiently and deployed reliably to the production.

Based on your competence and interests you will also participate in the algorithm and/or platform development. 

Responsibilities 

• Building scalable data processing pipelines for training, evaluation and optimization of machine learning algorithms. 

• Integration of machine learning algorithms to the product. 

• Contributing to the development of machine learning algorithms especially for computer vision. 

• Contributing to the development of the machine learning platform. 

Qualifications 

• MSc or PhD degree in a quantitative discipline or equivalent practical experience. 

• Experience in developing, training, and evaluating deep-learning models using machine learning frameworks (e.g. PyTorch, TensorFlow, and Keras). 

• Hands-on experience in integration of machine-learning algorithms in software systems. 

• Experience in Google Cloud environment. 

• Familiarity on working with NoSQL databases (such as Elasticsearch). 

• Familiarity with MLOps tools such as Kubeflow and MLFLow is a bonus.