Job description
Description
About Us
DeepSea was founded to bring the latest AI technology to make the world of shipping leaner, greener, and better connected. Our cloud platforms harness deep learning models trained on real-time data to enable our customers to optimise the routes, speeds, operation, and maintenance of their vessels, saving fuel, money, time and reducing environmental impact. DeepSea talent is spread across Greece, the United Kingdom, the Netherlands, Romania, Thailand and Japan and we are growing quickly.
We are a scale-up company - meaning you will be bringing us to the next level and deliver a tangible contribution to a more sustainable shipping world. There is no complex hierarchy nor long approval processes. We just deliver. You will be joining a company with highly skilled and smart people who love solving complex problems.
Main Responsibilities
Manage and own the end-to-end delivery of production AI solutions, from data/model/software requirements gathering and analysis, to model design and development, to model validation and deployment to our products.
Lead the development of AI models for our products and customers, in the field of vessel modelling and beyond, identify emerging trends and technologies in AI, explore new R&D areas, and drive innovation in the field in close collaboration with the company’s CTO.
Lead a team of data scientists, machine learning engineers, software engineers, MLOps engineers and naval experts, provide guidance and mentorship, and set R&D priorities.
Communicate and collaborate with both internal stakeholders and customers to understand business needs and requirements and present complex concepts to non-technical audiences.
Work seamlessly in a complex cross-disciplinary environment and deliver solutions to our customers on time.
Facilitate a culture of peer review and constructive feedback to enhance the quality of R&D outputs.
Identify and recruit top talent in the field of AI Modelling, and integrate them into the team.
Requirements
Main Requirements
Bachelor’s degree in Engineering, Mathematics, Physics, Computer Science or related field.
PhD (preferred) or Master’s in Machine Learning, Data Science, Engineering, Applied Mathematics or related field.
Proven expertise in designing, developing and rolling out production AI models, particularly for regression problems.
Proven expertise in data preprocessing and feature engineering.
Proven expertise in Machine Learning, Deep Learning, Neural Networks, Recurrent Neural Networks, Decision Trees, Boosting and Autoencoders. Candidates with proven expertise in Physics-Informed Neural Networks, Convolutional Neural Networks, Attention Mechanisms, Transformers, Large Language Models and Hybrid Architectures will also be considered.
Proven experience in leading AI projects end-to-end, including requirements gathering and analysis regarding data, models and software, evaluation framework design, model design and development, and model validation and deployment.
Proven experience in leading multidisciplinary teams of data scientists, machine learning engineers, software engineers, MLOps engineers, etc., providing guidance, mentorship, and setting R&D priorities.
Experience with data engineering, data warehouses and lakehouses, ETL/ELT data integration, and modern data platforms such as Databricks or similar.
Programming skills in Python with Pytorch, Keras, Tensorflow, Pandas, NumPy, SciPy, scikit-learn or similar frameworks.
Familiarity with MLOps practices, pipeline automation, model versioning, model CI/CD, and model serving using MLflow, W&B, Airflow, Jenkins or similar tools and frameworks.
Strong communication and collaboration skills in an agile, dynamic and cross-disciplinary environment.
Nice to Have
Experience in applying ML/AI techniques in the maritime domain, particularly for vessel modelling, condition monitoring, and predictive maintenance, will be considered a strong asset.
A solid publication track record and ability to present complex AI concepts to both technical and non-technical audiences.
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].
