Senior MLOps Engineer

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 and the US, 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 UkraineIf you are interested in this opportunity, please submit your CV in English.Responsibilities:Developing MLOps pipelines leveraging the Amazon SageMaker platform and its featuresDeveloping Generative AI solutions and POCs, utilizing the latest architectures and technologiesProvision of ML AWS resources and infrastructureDeveloping ML-oriented CI/CD pipelines using GitHub Actions, Bitbucket, or similar toolsDeploying Machine Learning models in productionHelp customers tackle challenges on a scale using distributed training frameworksLearning new skills and technologies quicklyUsing and writing Terraform libraries for infrastructure deploymentDeveloping CI/CD pipelines for projects of various scales and tech stacksMaintaining infrastructures and environments of all types, from dev to productionSecurity monitoring and administrationRequirements:Excellent customer-facing skills to understand and address client needs effectivelyAbility to design and implement cloud solutions and to build MLOps pipelines on AWSExperience 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 automationExperience with one or more large language model frameworks like OpenAI SDK, Amazon Bedrock, LangChain, and LlamaIndexFluent written and verbal communication skills in EnglishWorking knowledge of some Vector Databases (OpenSearch, Qdrant, Weaviate, LanceDB, etc) - an advantageExperience with Docker and Kubernetes - an advantageWorking knowledge with Snowflake, BigQuery, and/or Databricks - an advantageGCP or Azure knowledge (DevOps/MLOps) - an advantageML certification (AWS ML Specialty or similar) - an advantageBenefits:Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.)International work environmentReferral program – enjoy cooperation with your colleagues and get a bonusCompany events and social gatherings (happy hours, team events, knowledge sharing, etc.)Wellbeing and professional coachingEnglish classesSoft skills trainingCountry-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, recognising the value you bring to our team.