Senior MLOps Platform Engineer - Adaptiq

About the Position

We are seeking a Senior MLOps Platform Engineer to join our team at Adaptiq. In this role, you will be responsible for designing and scaling AI capabilities for our maritime AI platform. Your expertise will drive the end-to-end infrastructure and processes supporting the full lifecycle of ML models.

Responsibilities

• Design and implement systems for dataset and label management, including versioning and customer feedback integration.
• Establish and maintain a model repository/registry with version control, lineage tracking, and local inference support.
• Lead implementation of experiment tracking and monitoring solutions for data science and generative AI, focusing on evaluation, drift detection, and reproducibility.
• Lead the deployment, lifecycle management, and continuous improvement of ML/DL models in production.
• Own model serving and inference infrastructure, including autoscaling, A/B testing, canary deployments, and latency/cost optimization.
• Enable generative AI capabilities by developing tagging tools, prompt management services, and LLM testing frameworks.
• Drive operational excellence by improving tool deployment usability and establishing granular cost visibility across environments and projects.
• Develop reusable components such as standardized data loaders, CI/CD pipelines, and automated model retraining workflows.
• Collaborate with data scientists and platform engineers to productionize ML/DL models in public cloud environments.

Requirements

• At least 4+ years of hands-on experience in MLOps / ML Platform Engineering (or equivalent ML Engineering experience with strong MLOps ownership). Able to independently design, build, and scale production ML infrastructure.
• Experience collaborating closely with Data Scientists or ML Research teams to productionize machine learning models.
• Strong Python programming skills.
• Hands-on experience in containerization, CI/CD, and public cloud platforms (AWS, Azure, or GCP) for deploying, serving, and monitoring ML models.
• Proficiency with dataset management, model versioning, experiment tracking, monitoring, and MLOps platforms (e.g. MLflow, SageMaker, or similar tools).
• Experience with machine learning frameworks (PyTorch or TensorFlow), big-data technologies (Apache Spark), and data stores such as PostgreSQL, MongoDB, and Redis.
• Experience using AI-assisted development tools and adopting Generative AI and agentic workflows in day-to-day software development.
• B.Sc. or M.Sc. in Computer Science, Software Engineering, or a related field.

Nice to Have

• Java programming experience in production environments.

We Offer

• 20 days of vacation leave per calendar year (plus official national holidays of the country you are based in).
• Full accounting and legal support in all countries we operate.
• Fully remote work model with a powerful workstation and co-working space if needed.
• Highly competitive package with yearly performance and compensation reviews.

About the Company

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries. We are building an AI-first platform that fuses multiple maritime data sources into a unified operational picture. The system builds a digital twin of global maritime activity, applies behavioral analytics and predictive AI models to surface smuggling, illegal fishing, container risk, and other compliance or security threats, and presents mission-grade intelligence to both commercial and government stakeholders.

Apply Now

If you are passionate about AI and MLOps, and you are ready to make a significant impact, we encourage you to apply. Join us in our mission to create a safer and more efficient maritime environment.

Apply Now

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