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 algorithm developer with a passion for using computer vision in real-world solutions. 

You will work in our machine-learning team focusing on the algorithmic details and ensure that our algorithms are efficient, accurate and state-of-the-art.

You are producing machine-learning models which are reproduceable and follow modern MLOps practices.   

Responsibilities 

• Developing, optimizing and evaluating machine-learning algorithms, especially for computer vision. 

• Analyzing and improving efficiency, accuracy, and stability of algorithms used in the production. 

• Contributing to building scalable data processing pipelines for training, evaluation and optimization of machine-learning algorithms. 

Qualifications 

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

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

• Hands-on experience in computer vision, especially in object detection. 

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