Data-Engineer / ML-Engineer

• Design and maintain ETL pipelines to support the ML lifecycle.
• Manage and optimize data infrastructure.
• Build and manage CI/CD pipelines for ML workflow.
• Implement and maintain model versioning, tracking and experiment management tools (e.g., MLflow, DVC).
• Build infrastructure for data validation and monitoring.
• Operationalize machine learning models.
• Experience with time-series forecasting is a bonus.

• Bachelor’s or Master’s degree in data science, Computer Science, Mathematics, or a related field.
• 3+ years of experience in relevant domain.
• Proven experience in ETL, deploying and maintaining ML models and MLOps-related projects.

Soft skills:

• Strong communication and presentation skills.
• Flexibility in managing a diverse range of projects.
• We work in a small but agile team; the candidate must be adaptive to fast-paced projects.
• Excellent written and spoken proficiency in both Lithuanian and English.

• A Supportive Team: Work with passionate professionals in an encouraging, creative environment.
• Challenging Projects: Engage in meaningful projects that drive innovation and allow you to turn challenges into achievements.
• Continuous Development: Take advantage of learning opportunities through courses, seminars, and conferences that support your career growth.
• Balance work and life with hours that suit you (by agreement).
• Modern Workspace: Enjoy our stylish office in Vilnius's "Park Town" business center, complete with parking for cars and bikes.
• Snacks and Goodies: Stay energized with fresh coffee, snacks, and lunches.
• Entertainment: Relax with table football and table tennis during your breaks.
• Competitive Salary: Earn a competitive salary of 3000–6800 euros/month (gross), reflecting your skills and contributions.

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Don’t hesitate to send your CV or LinkedIn profile – I will be happy to get in touch and discuss your career opportunities.

All the information you provide will be treated with complete confidentiality.

Have questions? Call or write!

Lina Mikolaitienė

Senior HR Business Partner

📞 +370 670 21432

✉️ lina.mikolaitiene@grafton.com

🔗https://www.linkedin.com/in/lina-mikolaitiene/