Senior MLOps Engineer
About The Position
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.
#LI-Hybrid #LI-AIT
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