MLOps Engineer

This is a fully remote position, open to applicants in Poland.

📋 Description

• Develop and sustain models and data pipelines that support data science operations.

• Guarantee the precision, consistency, and efficiency of data utilized for model training and inference.

• Handle both structured and unstructured data from diverse sources.

• Utilize expertise in data engineering and machine learning to build robust and scalable systems.

• Assist in enhancing the technical team's skill set.

• Contribute to influential AI systems that transform industries in pricing, forecasting, and optimization.

⛳️ Requirements

• Bachelor’s or Master’s degree in Computer Science, Mathematics, or Engineering.

• Minimum of 5 years of professional experience in Python.

• At least 3 years of practical MLOps experience in a commercial setting.

• Familiarity with pipeline orchestrators like Dagster or Airflow.

• Experience with distributed computing environments.

• Proficient in Docker and Kubernetes or other scalable container technologies.

• Proven experience in developing and maintaining scalable machine learning systems.

• Fluent in English, both written and verbal.

• A collaborative team player, eager to assist others.

• Strong grasp of Data Structures and Algorithms.

• Proactive in handling tasks, often proposing alternative or improved solutions.

• Experience in the aviation sector is an advantage.

🏝️ Benefits

• Flexible remote or hybrid working arrangements.

• Full-time employment.