MLOps Manager in Automat-it

DescriptionAutomat-it is an all-in AWS Premier partner that empowers startups with DevOps and FinOps expertise and hands-on services. We guide and support hundreds of startups leveraging AWS smarter throughout their growth journey. We save our customers significant time to market and optimize their cloud performance and cost-effectiveness.Automat-it operates in more than seven countries across EMEA. We provide a dynamic environment where you can expand your professional expertise and make a significant impact.We are seeking an experienced MLOps Team Leader to join our innovative team. You will lead a group of highly skilled MLOps Engineers, develop robust MLOps pipelines, create cutting-edge Generative AI solutions, effectively engage with customers to grasp their requirements, and ensure project success overseeing from inception to completion.📍 Work location - hybrid from Ukraine or MadridResponsibilitiesManage a team of highly professional MLOps Engineers focusing on their growth and execution excellence.Lead and be responsible for on-time, great-quality project deliveriesDeveloping MLOps pipelines leveraging the Amazon SageMaker platform and its featuresDeveloping Generative AI solutions and POCs, utilizing the latest architectures and technologiesDelivering end-to-end ML products - model performance development, training, validation, testing, and version controlProvision 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 frameworks Using 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 administrationRequirementsProven leadership experience with a track record of managing and developing technical teams.Excellent customer-facing skills to understand and address client needs effectively.Ability 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 models, such as Frameworks like OpenAI SDK, Amazon Bedrock, LangChain, and LlamaIndex.Fluent written and verbal communication skills in EnglishWorking knowledge of some Vector Databases (OpenSearch, Qdrant, Weaviate, LanceDB, etc) - advantageExperience with Docker and Kubernetes - advantageWorking knowledge with Snowflake, BigQuery, and/or Databricks - advantageGCP or Azure knowledge (DevOps/MLOps) - advantageML certification (AWS ML Specialty or similar) - advantageAutomat-it is committed to fostering a workplace that promotes equal opportunities for all. We firmly believe that fostering a diverse workforce is crucial to our success. Our recruitment decisions are grounded in your experience and skills, recognizing the value you bring to our team. Show more Show less Position level Senior secondary level Type of employment Full time Job duties Other Industries IT services and IT Consulting