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Machine Learning Operations Engineer - Ukraine

Automat-IT is a leading "all in" AWS Premier Partner, specializing in cloud migration and complex DevOps projects for start-ups. We are a startup-focused company, supporting customers with AWS.

Automat-IT serves as a one-stop shop for all the AWS DevOps needs of our customers.

We provide managed services for companies seeking long-term cooperation by fully covering all the DevOps needs in accordance with the business‘s needs. In everything we do, we pride ourselves on achieving the highest levels of customer satisfaction. We aim to build long-term relationships with our customers and be their trusted advisors.

Automat-IT is looking for a Machine Learning Operations Engineer to join our global Delivery team!

Location: Ukraine (Lviv/Kyiv)

You will:

Machine Learning

You will be in charge of the entire machine learning pipeline from the MLOps perspective. You will work with our customers hand-in-hand, and help them build and run machine learning systems at scale.

  • Hands-on as an MLOps/DevOps Engineer with Data Scientists and RnD teams

  • Provision ML AWS resources and infrastructure

  • Developing MLOps pipelines leveraging the Amazon SageMaker platform and its features

  • Developing ML-oriented CI/CD pipelines using GitHub Actions, BitBucket, or similar tools

  • Deploying machine learning models in production

  • Help customers tackle challenges in scale using distributed training frameworks

  • Learning new skills and technologies quickly


  • Using and writing Terraform libraries for infrastructure deployment

  • Developing CI/CD pipelines for projects of various scales and tech stacks

  • Maintaining infrastructures and environments of all types from dev to production

  • Security monitoring and administration

Required Qualifications:

  • Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS, Azure, or GCP)

  • Experience with one or more MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow, etc.,

  • Experience with Docker and Kubernetes

  • Fluency in Python, a good understanding of Linux, and knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc.

  • Ability to understand tools used by data scientists and experience with software development and test automation

  • Fluent in English, good communication skills, and ability to work in a team


  • A big advantage is working knowledge with Snowflake, BigQuery, and/or Databricks

  • GCP and/or Azure knowledge (DevOps / MLOps)

  • ML certification (AWS ML specialty or the like)

Please apply:

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