MLOPS ENGINEER - Remote

Overview

This role involves deploying, managing, and monitoring machine learning models in production environments, collaborating with cross-functional teams to ensure reliable and scalable model deployment.

In Short

• Deploy and manage machine learning models in production.
• Collaborate with data scientists and software engineers.
• Automate workflows and optimize model performance.
• Implement CI/CD pipelines.
• Handle data preparation and model training.
• Ensure models remain accurate and up-to-date.
• Integrate databases and APIs.
• Containerize models using Docker and Kubernetes.
• Monitor model performance for accuracy.
• Work in an agile environment.

Requirements

• Expertise in Data Science and Software Engineering.
• Proficiency in Python, Scala, and Apache Spark.
• Experience with TensorFlow, PyTorch, and scikit-learn.
• Proficient in Azure Machine Learning and Jupyter Notebooks.
• Skilled in using version control systems like Git.
• Strong analytical and problem-solving skills.
• Excellent written and spoken English.
• Collaborative mindset.
• Experience in agile environments.
• End-to-end implementation mindset.

Benefits

• Learning opportunities with compensated certificates.
• Opportunity to switch projects after one year.
• Team building and victory celebration compensation.
• Office in Vilnius with themed lunches.
• Remote work opportunities.
• Flexible time off.
• Mental health support.
• Health insurance for Lithuanian residents.
• Referral bonuses.
• Loyalty days and recognition of important occasions.