AI Modelling Lead

Summary

Join DeepSea, a fast-growing AI company revolutionizing the shipping industry, and lead the development and delivery of cutting-edge AI solutions. You will spearhead a team of data scientists, engineers, and experts, driving innovation in vessel modeling and beyond. Responsibilities include managing AI projects from inception to deployment, collaborating with stakeholders, and fostering a culture of peer review. The ideal candidate possesses extensive experience in AI model development, team leadership, and data engineering, along with strong communication skills. DeepSea offers a competitive compensation package, health benefits, paid leave, professional development opportunities, and remote work flexibility.

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

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

Preferred Qualifications

• 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

Benefits

• 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