Machine Learning / AI Engineer

On behalf of our client, a cutting-edge provider of data intelligence solutions for the global maritime industry we are currently seeking a talented and experienced Machine Learning / AI Engineer to join their growing software development team.

This is an exciting opportunity for a Machine Learning Engineer to work on a robust, cloud-native analytics platform powered by Azure Kubernetes Services (AKS) and modern ML/LLMops practices. You’ll be part of a collaborative and innovative team, contributing directly to AI-driven solutions that impact global maritime operations.

Your day to day

• Design, develop, and deploy scalable machine learning models in a production environment.
• Collaborate with cross-functional teams to translate business requirements into data-driven solutions.
• Own the entire ML lifecycle, including monitoring, retraining, and performance optimization.
• Support and mentor team members on best practices in ML/AI development and deployment.
• Contribute to continuous innovation in maritime analytics through applied research and experimentation.

Must have:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Minimum 5 years of hands-on experience in developing and deploying machine learning models in production.
• Strong proficiency in Python and ML/AI frameworks such as TensorFlow or PyTorch.
• Experience with ML/LLMops tools (e.g. MLFlow, Databricks) and the Azure ecosystem.
• Familiarity with Big Data and streaming technologies (e.g. Apache Spark, Kafka).
• Skilled in CI/CD, containerization (Docker, Kubernetes), and cloud deployments.

Nice to have: 

• Experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic systems.
• Knowledge of microservices architecture.
• Agile methodology experience (Scrum preferred).

What’s in for you

• Private health insurance
• Hybrid set-up
• Ticket restaurant 
• Allocated budget for certifications & trainings