MLOps Engineer

Department
AI
Type
Full-time
Level
Location
Israel
About The Position

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 models and 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.

About The Position

Qualifications:

BSc or Master's degree in Computer Science / Math / Engineering
At least 5 years of commercial experience in Python
At least 3 years hands-on MLOps commercial experience
Experience working with pipeline orchestrators (e.g., Dagster, Airflow)
Experience with distributed computing systems
Experience with Docker and Kubernetes or other scalable containerized solutions
Commercial experience in writing and maintaining scalable ML systems
Fluent in English, both written and spoken
Team player, ready to help others

Nice to have:

Good understanding of Data Structures and Algorithms
Pro-active with tasks, often suggesting different/better ideas

If you're excited about building impactful AI systems in a high-growth startup environment, and want to help redefine how industries price, forecast, and optimize, we’d love to hear from you.