Vessel Performance Engineer (Data Quality)

About Us

DeepSea is a maritime technology leader, providing a unified optimisation platform that helps shipping companies cut fuel consumption, reduce emissions, and transform vessel performance across entire fleets.

Built on the most advanced maritime AI data pool in the world, DeepSea’s platform powers everything from vessel monitoring to advanced automation - helping clients achieve measurable results with clarity, speed and scale.

We are trusted by some of the world’s most forward-thinking ship owners and operators, and our team spans Greece, the UK, Armenia, Romania, Singapore and Japan. As the shipping industry undergoes enormous change, we are at the centre of that transition - helping our customers take control, reduce risk, and build competitive advantage.

Main Responsibilities

• Train machine learning models to predict and evaluate ship performance under varying weather and operational conditions.

• Validate ML model outputs using physics-based rules and marine engineering knowledge to ensure predictions are realistic and applicable to ship operations.

• Assess the quality, accuracy, and completeness of data collected from ship sensors, telegrams, AIS and other sources, identifying anomalies or inconsistencies that could impact ML model performance.

• Develop and maintain Python-based tools and frameworks to automate workflows, streamline processes, and enhance operational efficiency across the team.

• Work with data engineering teams to design and maintain robust data pipelines for processing real-time and historical ship data.

• Document data quality findings, model performance, and validation results, providing actionable insights to improve software and operational outcomes.

• Communicate and collaborate with internal stakeholders (product owners, AI engineers, customer success managers, MLOps engineers) to understand business needs and requirements and present complex concepts to non-technical audiences, including external stakeholders and customers..

• Investigate ML model outputs based on customer feedback, resolve customer queries or identify areas of improvement, and present results to internal and external stakeholders and customers.

Requirements

Main Requirements

• Master's degree in Naval Engineering & Marine Engineering, or related field.

• Ability to apply physics-based rules and marine engineering principles to validate data and model outputs for accuracy and reliability.

• Ability to validate the performance level of ships, cross checking with underwater inspections and paint condition. 

• Familiarity with data quality assurance processes, including identifying anomalies, missing data, or inconsistencies in real-time ship data.

• Strong analytical skills to troubleshoot data issues and model performance in the context of marine operations.

• Knowledge of Python programming, including the ability to run scripts, work with libraries (e.g., Pandas, NumPy), work with repositories, and perform data processing tasks.

• Basic understanding of Machine Learning.

• Communication Skills: Ability to collaborate with cross-functional teams, including data scientists, software engineers, and marine operations teams, to ensure alignment on data and model requirements.

Nice to Have

• 1-3 years of experience as a vessel performance engineer.

• Previous experience in the maritime sector, such as roles in the technical or performance departments of a shipping company or expertise in vessel performance monitoring, would be a valuable asset.

• Prior hands-on experience with Python for data analysis, processing, or machine learning applications would be highly advantageous.

• Experience working with data from marine sensors (e.g., fuel consumption, engine performance, or navigation systems) would enhance your ability to ensure data quality and relevance.

What we offer:

You will be part of a dynamic team focused on delivering results and continuous improvement while disrupting the industry, and will also receive:

• Competitive remuneration package: Skill & experience-based salary and eligibility for additional employee benefits.

• Health Package: Private health insurance coverage and mental health - therapist benefit

• Paid leaves: emergency and medical leaves.

• Learning and Development Package: Access to courses platform and eligibility for seminars, conferences and workshops

• Remote Flexibility: Great office space in the heart of Athens with hybrid option.

At DeepSea, we are looking for people who share our values and are aligned with our mission. It is important to us to ensure that no-one who is eager and capable of contributing constructively to our team is excluded because of ethnic or social origin, gender or sexuality, age or family status, disability or medical conditions etc. Diversity is well-proven to be a vital characteristic of teams that succeed, so we do everything we can to make our environment welcoming and safe for everyone.

Data Privacy

The company ensures that the personal data of candidates is handled with care and in compliance with GDPR regulations. Your personal data will be stored securely and only for the duration necessary under the law. If the recruitment process is unsuccessful, your data will be retained for 5 (five) years to consider you for future opportunities. After this period, your data will be deleted or destroyed. In case you do not wish for the company to keep your CV and personal data, please send an email to [email protected].