Vessel Performance Engineer

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.

About the department

Our Customer Operations department is responsible for ensuring our customers get the best value out of our products. This includes maintaining customer relationships, consulting with the customer on their routing, optimisation, performance and use of the products, integrating with the customer’s onboard and cloud IT systems, configuring the product for use by the customer and coordinating outsourcers who aid with the above.

About the position

Within the Customer Operations department, we are looking for a Vessel Performance/ Naval Engineer to provide expert analysis and support to the rest of the departments and the client directly. This includes providing thorough analysis on client requests, supporting product development with subject-matter expertise, preparing reports on performance and data quality, flagging and resolving issues that may affect customer value escalated by support teams, and consulting customers directly on how to best get value out of their data and our products for the performance of their vessels.

We are looking for a capable, knowledgeable and domain expert individual willing to lead the growth of our performance and monitoring tools.

Main responsibilities

• Model Development & Validation: Co-develop and validate models for ship propulsion, seakeeping, and maneuvering (steady and unsteady conditions), ensuring accuracy through analytical and empirical sanity checks. Define reference lines to optimize vessel performance

• Engineering Data Integrity: Use naval engineering principles to assess data quality, identify anomalies in complex datasets, and validate the outputs of AI models.

• Shipboard Data Systems: Manage and utilize shipboard data (engine monitoring, fuel consumption, navigation sensors) to support model development and performance evaluation.

• Performance & AI Interpretation: Analyze vessel and engine performance across diverse types and clearly explain Machine Learning model results to stakeholders.

• Visualization tools: Help in development of analytics dashboards and new analytics methodologies

• Communication with Clients: Compile reports for customers and partners 

• Strategic Collaboration: Cooperate efficiently with internal and external stakeholders using data-enhanced deliverables, and support product innovation with deep naval knowledge.Contribute to the specification and testing of new products

• Regulation Advisory: Develop and maintain technical strategies to ensure all vessel performance models and reporting outputs align with current and anticipated maritime regulatory requirements (e.g., IMO, EU MRV, IMO DCS, CII).

Requirements

The ideal candidate will have

• Naval/Mechanical/Marine Engineering background

• Experience as Technical Superintendent would be considered an asset

• At least 4 years of work experience in a similar role

• Work experience in the commercial shipping industry, preferably in a Performance department, is highly desired

• Experience with business analysis tools

• Fluency in English, both written and verbal

• Ability to work in fast-paced environments and meet set deadlines

• Knowledge of coding languages (e.g. Python, R) considered an advantage

• Excellent communication, problem-solving and management skills

• Highly self-motivated, accountable and committed

• Process Optimization/Automation mentality

• Results-oriented mindset

• Ability to work in cross-functional teams
  

Nice to have

• Familiarity with coating technologies and their impact on hull resistance.

• Experience in machine learning model validation and performance curve development.

• Understanding of data reliability assessment and preprocessing techniques (filtering, outlier detection, signal integrity).

• Experience in sea trials, performance testing, and sensor calibration analysis.

• Strong communication skills; ability to translate complex technical insights into actionable recommendations for clients and internal stakeholders

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].