Job Description
About us
Navarino is an pioneering global technology company with offices in Greece, Norway, Germany, Cyprus, the United Kingdom, Hong Kong, USA, UAE, Japan and Singapore. We develop advanced technology solutions for the shipping industry and are a leader in our sector. Our R&D and engineering departments are at the forefront of innovation, creating next-generation platforms that redefine operational intelligence in the maritime sector.
What will you be doing?
As an AI Engineer you will help design, build, and deploy advanced artificial intelligence solutions. You will work closely with data scientists, software engineers, and product teams to develop machine learning models, integrate AI capabilities into products, and optimize systems for performance and scalability.
The ideal candidate combines strong technical expertise in machine learning and deep learning with hands-on experience in software engineering and data processing.
Responsibilities
- Design, develop, and implement machine learning and AI models for real-world applications
- Collaborate with cross-functional teams to identify opportunities for AI-driven solutions
- Continuously monitor and optimize model performance and reliability
- Stay up-to-date with emerging AI research, tools, and technologies
- Develop APIs and integration pipelines for model serving
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field.
- 3+ years of experience in applied machine learning, data engineering, or AI system design.
- Proficiency in Python and machine learning frameworks
- Experience with data processing tools
- Knowledge of MLOps tools and CI/CD pipelines
- Strong problem-solving and algorithmic thinking skills.
Benefits
Beyond offering a working environment which values and supports people and their well-being, we at Navarino offer:
- An attractive financial package
- A generous bonus, announced yearly, based on overall company’s performance and your contributions to our team's success
- Excellent working conditions with a good work-life balance
- Excellent variety of benefits including private health insurance
- Personal development and training opportunities to build your professional growth, skills, and knowledge
- A working environment certified as a “Great Place to Work” for four years in a row (2022-2025)
