About Pole Star:
As the leader in maritime intelligence, Pole Star empowers better decision-making and protects clients’ business interests, assets, seafarers, vessels, cargo, infrastructure, investments, profitability, and reputation - through provision of high-performance, cyber-secure solutions underpinned by immense service and constant technological innovation. We have offices in London, USA, Singapore, Hong Kong and Panama, alongside presence in Australia. Teams are made up of over 19 nationalities, speaking 25 different languages.

The Opportunity: 

At Pole Star, this is more than just an engineering role—it’s a chance to apply AI where it truly matters. You’ll be building and operationalizing next-generation systems that make global trade safer, more transparent, and more sustainable. From deploying large-scale AI pipelines to developing GenAI solutions for real-world maritime challenges, your work will have direct impact on protecting ships, cargo, and people across the world’s oceans.

You’ll join a diverse, global team where innovation and collaboration go hand in hand. With AI at the heart of our mission, you’ll have the ability to impact revenue growth, the tools to build at scale, and the opportunity to shape the future of an industry that underpins the global economy.

Responsibilities:

• Design and implement CI/CD pipelines for AI model deployment and monitoring
• Containerise and orchestrate ML services using Docker and Kubernetes for scalable deployment.
• Monitor model performance in production, implement drift detection, and manage model versioning.
• Collaborate with data scientists, software engineers, and maritime domain experts to align AI solutions with operational needs
• Build robust data pipelines to ingest, clean, and transform structured and unstructured maritime data.
• Develop, deploy and maintain RAG-based GenAI systems using vector databases and LLMs for different maritime use cases.
• Ensure compliance with data governance, privacy, and maritime regulatory standards.

Required Skills:

• 3+ years of experience in MLOps, machine learning engineering, or AI infrastructure.
• Demonstrated experience deploying ML models in production environments.
• Prior work with LLMs, GenAI systems, or NLP pipelines is highly desirable.
• Strong DevOps experience in cloud platforms (prefer AWS) and infrastructure-as-code tools.
• Proficiency in Python, PySpark and ML frameworks such as TensorFlow, PyTorch.
• Experience with MLOps tools such as MLflow, Airflow, or SageMaker AI.
• Hands-on knowledge of RAG frameworks such as Haystack, LangChain, Llamaindex.
• Familiarity with vector databases (FAISS, Weaviate, Pinecone) and embedding models

Additional Skills:

• Knowledge of maritime domain data, geospatial data processing and maritime analytics
  
• Working with distributed teams
  
• Working on Agile teams
  
• Excellent written and verbal communication skills
  

Education/Certifications:

• Bachelor’s degree in Computer Science, Computer Engineering, Electronics & Communications Engineering, or a related Engineering field or Master’s degree in Data Science, Artificial Intelligence.

Employee Benefits:
Pole Star offers benefits that are designed to lead an evolving marketplace and
encourage a healthy balance between work and life. Highlights of those benefits are listed below:

• Medical insurance for employees and their dependents (Premiums are 100% covered by the Company)
• Dental and Vision insurance for employees and their dependents (Premiums are 50% covered by the Company)
• Life and Disability insurance, Company funded
• 20 days annual leave
• 5 days of Wellbeing leave
• Up to a 5% 401k matching
• Gym membership subsidy
• PTO for Volunteer Day
• Refer-a-friend recruitment bonus