Machine Learning Engineer

Join the future of sustainable shipping with Norsepower!

Are you ready to embark on a thrilling journey in the heart of maritime innovation? Norsepower, a pioneer in sustainable shipping solutions, is bringing sails back to shipping – and saving the planet at the same time. We are now seeking a dynamic and talented Machine Learning Engineer to join our team.

Norsepower Rotor Sail™ harnesses the wind to maximize fuel efficiency and reduce emissions of ships. It is the first commercially available mechanical sail for large vessels. It has a proven track record of successful operation since 2014. Norsepower’s project services cover all phases from sales to project delivery and operational support. Each project is planned according to the client’s needs and preferences.

In this new role, you will be part of a motivated department consisting of automation, software, data, and electrical professionals. As a key member of our team, you will drive the development of cutting-edge data processing pipelines and machine learning techniques tailored specifically for optimizing the Norsepower Rotor Sail™ and performance of modern sailing cargo vessels.

In practice, this entails utilizing your expertise in data engineering to handle large data volumes accurately. Additionally, you will drive the exploration and application of machine learning algorithms, enhancing operational efficiency and decision-making. This involves developing predictive models, anomaly detection algorithms, and optimization strategies tailored to maritime challenges. Collaborating closely with stakeholders, you will identify optimization opportunities across vessel performance areas, such as route planning and energy management, contributing directly to fuel savings and profitability. Furthermore, you’ll stay abreast of technological advancements, proactively identifying innovation opportunities and proposing solutions to complex challenges.

To succeed in this position, we expect you to be a machine learning specialist with a good track record of taking ideas from proof of concept to production deployment. We also expect you to share our passion for innovation and a drive to make a meaningful impact in the maritime industry. Being consistently eager to learn, developing oneself, and thriving in a fast-growing company are key attributes for us. Our office is located in Ruoholahti, and we work in a flexible hybrid model. We hope you would be interested in coming to the office 2-3 times a week, fostering a collaborative work environment.

We offer you

– A possibility to contribute to a more sustainable future
– A chance to get exposure to the exciting world of international cleantech
– Continuous learning opportunities, allowing you to grow and develop your skills in a supportive environment
– A motivated team to join, comprising highly driven professionals from various disciplines, all dedicated to shaping a cleaner future for the shipping industry
– Flexibility in working conditions, allowing you to enjoy a work-life balance that suits your lifestyle
– Employee benefits including lunch, telephone, sports & culture, employee bike, and a possibility to participate in a stock option program

Requirements

– Experience in building robust and highly available applications with modern technology
Ideally, a Master’s degree in Engineering, Technology, or Science coupled with a few years of hands-on project experience in a relevant IT field
– Proficiency in building, deploying, and orchestrating data infrastructure to support complex systems
– Experience in software development using Python or other programming languages
– Experience in developing machine learning tools and methodologies, including proficiency with frameworks like TensorFlow, Keras, or Scikit Learn
– Proven ability to navigate the entire machine learning product lifecycle, from proof of concept to production deployment
– Experience working with cloud technologies such as Azure, AWS, or GCP
– Full working proficiency in English

Bonus skills

– Experience with data pipelines or ETL/ELT processing
– Familiarity with real-time/event-based architecture
– Knowledge of CI/CD pipelines, including tools like Github Actions or Jenkins
– Proficiency in data modeling techniques

Set sail on a career path where innovation meets opportunity and apply now! Please submit your CV and motivation letter by the 6th of June 2024 (6.6.2024). Remember to use the application system, we do not accept applications by email.

We recommend applying as soon as possible, as we may proceed with potential candidates during the application period.

For more information about the recruitment process, please contact HR Specialist Minna Tiainen (minna.tiainen[at]norsepower.com).