- You will package, deploy, and monitor machine learning models in production environments using Azure ML, MLflow, and containerization technologies. This includes designing and maintaining scalable infrastructure with Azure Kubernetes Service (AKS), Docker, and CI/CD pipelines.
- You'll build APIs, endpoints, and inference pipelines to serve models in a reliable and efficient manner.
- Monitoring, logging, and alerting systems will be implemented to ensure uptime, performance, and model accuracy.
- You’ll manage the versioning of models, artifacts, and configurations while ensuring traceability and compliance with governance standards.
- Close collaboration with Data Scientists will be crucial to understand model requirements, and you'll work with DevOps teams to integrate ML workflows into broader CI/CD systems.
- Driving automation across the machine learning lifecycle—including testing, deployment, retraining triggers, and rollback mechanisms—will be a key part of your role.
- You’ll also be responsible for ensuring that all AI solutions meet enterprise-level security, compliance, and data privacy standards, while maintaining high code quality with clean, efficient, and maintainable Python code.
- Private medical healthcare
- 50% Multisport card
- Remote work
- A minimum of 4 years of commercial experience in a similar role is required.
- You should have expert-level proficiency in Python, with a strong track record of developing production-grade software and ML/AI pipelines.
- Hands-on experience with Azure Machine Learning, Azure DevOps, Azure Container Registry, and Azure Key Vault is essential.
- You should be comfortable working with containerization tools such as Docker and orchestration platforms like Kubernetes (AKS), especially for deploying scalable machine learning solutions.
- You’ll need experience building and maintaining CI/CD pipelines for ML applications, including automated testing and deployment processes.
- Familiarity with monitoring and logging tools such as Prometheus, Grafana, Azure Monitor, or similar platforms is expected.
- Experience with tools like MLflow (or comparable solutions) for experiment tracking, model versioning, and ensuring reproducibility is important.
- You must also be proficient in spoken and written English, at a minimum of B2 level on the CEFR scale.
Packages and extras
- Healthcare package
Hello, Sailor!
We've been expecting you. Our community is eager for new members.
Develocraft is an international IT & Engineering workforce provider from Gdańsk. We blend our passion for creating real business impact with our love for our team, from recruiters to developers. <3
We see ourselves as your agent, not your employer. We're here to help you get what YOU want. If you don't like an offer, we'll find another. If you're aiming for the Champions League glory next season, Cristiano, we sure won't try to set up an interview with Manchester United's team. ;)
Why work with us? We're a remote-first company (though some clients prefer hybrid) and still fresh (6 years on the market), so you can have a real impact here. We're growing fast, ensuring a team of quality you can rely on.
Our experts are here to support you. Whether you work in our team or as a consultant for a client, we'll try to design a career path with you, not just slot you into a role and hope for the best.