Machine Learning Engineer

Imagine, you are on a cruise ship enjoying your well-deserved holiday. Your drinking a cocktail while enjoying the nice weather on the sun deck near the pool. Everything is perfect. Meanwhile, in the vessel’s engine room, one of the chief mechanics is getting an alert on his mobile. Wärtsilä data detected that the temperature of the main fuel pumps is increasing unexpectedly. After a quick check-up, it seems that one of the valves is broken and needs to be repaired immediately. Due to our machine learning algorithms, unplanned downtime of the cruise ship was prevented.

Functieomschrijving

We are looking for a (senior) Machine Learning Engineer to implement and deploy analytics and machine learning solutions based on asset data. You will work on products that help users operate their equipment more reliably and efficiently.

DPD develops digital products for Wärtsilä business units (BU) in Marine Power, Marine Systems and Energy. DPD uses a common technology stack to generate insight from operational data, to make for example predictive maintenance- or efficiency optimisation products such as Wärtsilä Expert Insight. As a ML Engineer you will be part of one of the agile teams and will work on one of the products we develop.

As a Machine Learning Engineer your work will focus on these responsibilities:
• Participate and support in productising and deploying algorithms.
• You will participate in the development of our products and services by supporting the implementation of algorithms to solve real world problems.
• You collaborate with developers and data scientist to determine how to get value from our data.
• Keep up with advancements in the field of data science and other related fields.

Gevraagd wordt

• You are experienced in solving real-world problems with machine learning and have successfully implemented and deployed machine learning models into production in the past.
• You have extensive knowledge of data science which you can demonstrate through your work experience, relevant degrees or personal projects.
• You have strong back-end development knowledge, i.e. we expect you to be able to create and maintain applications developed in Python.
• Strong interaction and communication skills to cooperate with different stakeholders throughout the organisation.
• Our ML systems are written in Python, using libraries like pandas, scikit-learn and TensorFlow. The ML systems run on AWS. Experience with a similar stack is a must.
• Experience with Python libraries; Pandas, scikit-learn and TensorFlow.
• Experience with automated testing and test driven development.
• Experience with AWS services such as EC2, S3, RDS, Lambda and DynamoDB is a plus.
• Experience with Kubernetes and Docker is a plus.
• Experience with timeseries databases and in particular influxdb is a plus.
• Experience with Kafka clusters, -streams, -connectors and Kafka as a messaging and storage solution is a plus.

Geboden wordt

We highly care for employability of all our employees hence employees are encouraged to utilize the variety of training activities, learning solutions and self-study materials. The opportunity to further develop your talents and competencies within an international working environment, in an ambitious, growth orientated organisation. We offer excellent primary and secondary terms of employment and a healthy work-life balance. We foster openness, respect and trust. The culture can be described as down to earth and decisive.

Bedrijfsprofiel

Wärtsilä is a global leader in smart technologies and complete lifecycle solutions for the marine and energy markets. By emphasising sustainable innovation, total efficiency and data analytics, Wärtsilä maximises the environmental and economic performance of the vessels and power plants of its customers. In 2018, Wärtsilä’s net sales totalled EUR 5.2 billion with approximately 19,000 employees. The company has operations in over 200 locations in more than 80 countries around the world. Wärtsilä is listed on Nasdaq Helsinki.

Meer over deze werkgever

Hoe nu verder

We highly care for employability of all our employees hence employees are encouraged to utilize the variety of training activities, learning solutions and self-study materials. The opportunity to further develop your talents and competencies within an international working environment, in an ambitious, growth orientated organisation. We offer excellent primary and secondary terms of employment and a healthy work-life balance. We foster openness, respect and trust. The culture can be described as down to earth and decisive.

Meer weten?

Contactpersoon:
Hendrik van der Woude
Telefoonnummer:
050 - 2101001
... of we bellen jou
Email:
Hendrik

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