MLOps Engineer

Fetcherr experts in deep learning, algo-trading, e-commerce, and digitization, Fetcherr disrupts traditional systems with its cutting-edge AI technology. At its core is the Large Market Model (LMM), an adaptable AI engine that forecasts demand and market trends with precision, empowering real-time decision-making. Specializing initially in the airline industry, Fetcherr aims to revolutionize industries with dynamic AI-driven solutions.

We are seeking an MLOps Engineer to help us grow our technical team's capabilities. The ideal candidate has relevant experience in data engineering, preferably within the AI field. Aviation industry experience would be a great addition.

You will be responsible for building and maintaining data pipelines that power our data science workflows. You'll play a crucial role in ensuring the accuracy, consistency, and efficiency of the data we use for model training and inference. This involves working with both structured and unstructured data from various sources, leveraging your expertise in data engineering and machine learning to create a robust and scalable system.

Requirements:

You’ll be a great fit if you have:

• BSC or Master's degree in Computer Science / Math / Engineering is preferable
• At least 5 years of commercial experience in Python – must
• At least 3 years hands-on data engineering commercial experience - must
• Familiar with MLOps and AI domain
• Experience working with pipelines orchestrators, preferably Dagster, Prefect or Airflow
• Good understanding of Data Structures and Algorithms
• Basic knowledge of Docker and Kubernetes or other, scalable, containerized solutions
• Team player, ready to help others
• Pro-active with the tasks given to you, often suggesting different / better ideas
• Commercial experience working with Dask (preferred) or other distributed computing systems – must
• Commercial experience in writing and maintaining scalable systems
• English – fluent, both written and spoken