Senior MLOps Engineer

Description

Automat-it is where high-growth startups turn when they need to move faster, scale smarter, and make the most of the cloud. As an AWS Premier Partner and Strategic Partner, we deliver hands-on DevOps and FinOps and GenAI support that drives real results.

We work across EMEA, fueling innovation and solving complex challenges daily. Join us to grow your skills, shape bold ideas, and help build the future of tech.

We seek an experienced MLOps Engineer to join our team. You will work hands-on with innovative startups' Data Science and R&D teams and be in charge of various projects. You will develop robust MLOps pipelines, create cutting-edge Generative AI solutions, implement the latest technologies, and ensure the customers’ success by overseeing the project from inception to completion.

📍 Work location - remote from Ukraine

Responsibilities

Developing MLOps pipelines leveraging the Amazon SageMaker platform and its features
Developing Generative AI solutions and POCs, utilizing the latest architectures and technologies
Provision of ML AWS resources and infrastructure
Developing ML-oriented CI/CD pipelines using GitHub Actions, Bitbucket, or similar tools
Deploying Machine Learning models in production
Help customers tackle challenges on a 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

Requirements

Excellent customer-facing skills to understand and address client needs effectively
Ability to design and implement cloud solutions and to build MLOps pipelines on AWS
Experience with one or more MLOps frameworks like Kubeflow, MLFlow, DataRobot, Airflow, etc.
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
Experience with one or more large language model frameworks like OpenAI SDK, Amazon Bedrock, LangChain, and LlamaIndex
Fluent written and verbal communication skills in English
Working knowledge of some Vector Databases (OpenSearch, Qdrant, Weaviate, LanceDB, etc) - an advantage
Experience with Docker and Kubernetes - an advantage
Working knowledge with Snowflake, BigQuery, and/or Databricks - an advantage
GCP or Azure knowledge (DevOps/MLOps) - an advantage
ML certification (AWS ML Specialty or similar) - an advantage

Benefits

Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.)
International work environment
Referral program – enjoy cooperation with your colleagues and get a bonus
Company events and social gatherings (happy hours, team events, knowledge sharing, etc.)
Wellbeing and professional coaching through Oliva Health
English classes
Soft skills training

Country-specific benefits will be discussed during the hiring process.

Automat-it is committed to fostering a workplace that promotes equal opportunities for all and believes that a diverse workforce is crucial to our success. Our recruitment decisions are based on your experience and skills, recognizing the value you bring to our team.

Senior MLOps Engineer

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