Machine Learning Engineer
Machine Learning Engineer
We are growing our Data team and are looking for an experienced Machine Learning (ML) Engineer. As a ML Engineer, you will be responsible for the end-to-end lifecycle of machine learning projects, from ideation and experimentation to model development and preparation for production.
Responsibilities
- Design, build, and maintain robust and scalable data science and ML infrastructure, including compute resources and necessary tools
- Develop and maintain CI/CD pipelines for ML model deployment and infrastructure changes
- Ensure the effective utilization of compute resources and the reliability of our ML/AI systems
- Introduce and evaluate new tools and technologies to enhance our ML/AI capabilities
- Collaborate with Data Scientists to optimize and productionize their models, focusing on efficient deployment and integration
- Implement and manage containerization and orchestration for ML workloads
- Troubleshoot and resolve infrastructure-related issues impacting ML workflows
- Contribute to best practices for ML engineering and infrastructure management within the team
- Participate in knowledge sharing and promote awareness of our team's work within the company
Expected Skills & Experience
- Education in computer science, engineering, mathematics or related fields
- Solid experience (3+ years) in a Machine Learning Engineering or DevOps role with a focus on ML infrastructure
- Strong programming skills in Python and experience with ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, HuggingFace)
- Hands-on experience with containerization technologies (Docker/Podman, container registries), Kubernetes for orchestration, scaling, and management of ML workloads and CI/CD pipelines (e.g., GitHub Actions, GitLab CI), FastAPI
- Experience with cloud platforms (AWS, Azure) and deploying ML solutions in cloud environments
Bonus Points
- Knowledge of MLOps tools (Kubeflow, MLflow)
- Experience with Computer Vision and/or advanced AI (LLMs, AI agents) systems
- Experience with building AI agents and AI libraries (Pydantic-ai, LangGraph, etc.)
We care for the well-being of our employees and offer
- The opportunity to contribute to business activities that are strategically important for Lithuania
- Free train trips in Lithuania
- Internal career and professional development opportunities
- Additional health insurance
- Accident insurance
- Additional paid days of leave
- Flexibility and hybrid work possibility