About UsDeepSea 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<ul><li>Work on the development of production AI solutions, from understanding and contributing to data/model/software requirements, to model design and development, to model validation and deployment to our products.</li><li>Develop AI models for our products and customers, in the field of vessel modelling and beyond, and effectively utilise emerging trends and technologies in AI.</li><li>Work in a team of data scientists, machine learning engineers, software engineers, MLOps engineers and naval experts.</li><li>Communicate and collaborate with internal stakeholders to understand business needs and requirements and present complex concepts to non-technical audiences, including external stakeholders and customers.</li><li>Work seamlessly in a complex cross-disciplinary environment and deliver solutions to our customers on time.</li><li>Work in a culture of peer review and constructive feedback to enhance the quality of R&amp;D outputs.</li></ul>Main Requirements<ul><li>Bachelor’s degree in Engineering, Mathematics, Physics, Computer Science or related field.</li><li>PhD (preferred) or Master's in Machine Learning, Data Science, Engineering, Applied Mathematics or related field.</li><li>Proven expertise in designing, developing and rolling out production AI models, particularly for regression problems.</li><li>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.</li><li>Proven experience in data preprocessing and feature engineering.</li><li>Proven experience in working on AI projects end-to-end, including understanding and contributing to requirements regarding data, models and software, evaluation framework design, model design and development, and model validation and deployment.</li><li>Proven experience in working in multidisciplinary teams of data scientists, machine learning engineers, software engineers, MLOps engineers, etc..</li><li>Programming skills in Python with Pytorch, Keras, Tensorflow, Pandas, NumPy, SciPy, scikit-learn or similar frameworks.</li><li>Strong communication and collaboration skills in an agile, dynamic and cross-disciplinary environment.</li></ul>Nice to Have<ul><li>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.</li><li>Experience with data engineering, data warehouses and lakehouses, ETL/ELT data integration, and modern data platforms such as Databricks or similar will be considered a strong asset.</li><li>Familiarity with MLOps practices, pipeline automation, model versioning, model CI/CD, and model serving using MLflow, W&amp;B, Airflow, Jenkins or similar tools and frameworks.</li><li>Publications and ability to present complex AI concepts to both technical and non-technical audiences.</li></ul>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:<ul><li>Competitive remuneration package: Skill &amp; experience-based salary and eligibility for additional employee benefits.</li><li>Health Package: Private health insurance coverage and mental health - therapist benefit</li><li>Paid leaves: emergency and medical leaves.</li><li>Learning and Development Package: Access to courses platform and eligibility for seminars, conferences and workshops</li><li>Remote Flexibility: Great office space in the heart of Athens with hybrid option.</li></ul>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 PrivacyThe 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. If you do not wish for the company to keep your CV and personal data, or if you have any other queries, please send an email to <a href="mailto:dpo@deepsea.ai">dpo@deepsea.ai</a>

DeepSea Technologies is a shipping software company specialising in optimising vessel performance for ship owners and operators of commercial vessels including container ships, bulk carriers, LNG carriers and tankers. The company works predominantly in the field of artificial intelligence, developing algorithms and platforms that allow vessels to consume less fuel, generate fewer emissions, predict future maintenance requirements and travel optimal shipping routes.


Senior AI Engineer

About UsDeepSea 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<ul><li>Work on the development of production AI solutions, from understanding and contributing to data/model/software requirements, to model design and development, to model validation and deployment to our products.</li><li>Develop AI models for our products and customers, in the field of vessel modelling and beyond, and effectively utilise emerging trends and technologies in AI.</li><li>Work in a team of data scientists, machine learning engineers, software engineers, MLOps engineers and naval experts.</li><li>Communicate and collaborate with internal stakeholders to understand business needs and requirements and present complex concepts to non-technical audiences, including external stakeholders and customers.</li><li>Work seamlessly in a complex cross-disciplinary environment and deliver solutions to our customers on time.</li><li>Work in a culture of peer review and constructive feedback to enhance the quality of R&amp;D outputs.</li></ul>Main Requirements<ul><li>Bachelor’s degree in Engineering, Mathematics, Physics, Computer Science or related field.</li><li>PhD (preferred) or Master's in Machine Learning, Data Science, Engineering, Applied Mathematics or related field.</li><li>Proven expertise in designing, developing and rolling out production AI models, particularly for regression problems.</li><li>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.</li><li>Proven experience in data preprocessing and feature engineering.</li><li>Proven experience in working on AI projects end-to-end, including understanding and contributing to requirements regarding data, models and software, evaluation framework design, model design and development, and model validation and deployment.</li><li>Proven experience in working in multidisciplinary teams of data scientists, machine learning engineers, software engineers, MLOps engineers, etc..</li><li>Programming skills in Python with Pytorch, Keras, Tensorflow, Pandas, NumPy, SciPy, scikit-learn or similar frameworks.</li><li>Strong communication and collaboration skills in an agile, dynamic and cross-disciplinary environment.</li></ul>Nice to Have<ul><li>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.</li><li>Experience with data engineering, data warehouses and lakehouses, ETL/ELT data integration, and modern data platforms such as Databricks or similar will be considered a strong asset.</li><li>Familiarity with MLOps practices, pipeline automation, model versioning, model CI/CD, and model serving using MLflow, W&amp;B, Airflow, Jenkins or similar tools and frameworks.</li><li>Publications and ability to present complex AI concepts to both technical and non-technical audiences.</li></ul>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:<ul><li>Competitive remuneration package: Skill &amp; experience-based salary and eligibility for additional employee benefits.</li><li>Health Package: Private health insurance coverage and mental health - therapist benefit</li><li>Paid leaves: emergency and medical leaves.</li><li>Learning and Development Package: Access to courses platform and eligibility for seminars, conferences and workshops</li><li>Remote Flexibility: Great office space in the heart of Athens with hybrid option.</li></ul>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 PrivacyThe 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. If you do not wish for the company to keep your CV and personal data, or if you have any other queries, please send an email to <a href="mailto:dpo@deepsea.ai">dpo@deepsea.ai</a>

Senior AI Engineer

About the Job

About the Company

DeepSea Technologies

Similar Jobs

Senior ML Engineer

Senior ML Engineer

Senior AI Application Engineer

Senior AI Application Engineer

Senior Applied AI Engineer

Senior Applied AI Engineer

Staff ML Platform Engineer

Staff ML Platform Engineer

Senior Machine Learning Engineer - Autonomy Validation

Senior Machine Learning Engineer - Autonomy Validation

Senior Software Engineer, Machine Learning

Senior Software Engineer, Machine Learning

Machine Learning Engineer

Machine Learning Engineer

Senior Machine Learning Developer

Senior Machine Learning Developer

Principal Engineer - AI

Principal Engineer - AI

Manager of AI & Analytics Engineering

Manager of AI & Analytics Engineering