.We are on a mission to help startupsgrow, deliver & win Join Our Team! Welcome To Automat-itEMEA Startups' Fastest Growing AWS PartnerAt Automat-it, we value the unique contributions of each team member. We prioritize not only the unique needs of our customers but also the growth and satisfaction of our employees. While our technological expertise and innovation are unparalleled, we understand that it's our people who truly elevate us.Here, you'll have the opportunity to learn, experiment, and innovate, all while being supported by the necessary resources and encouragement. If you're fueled by passion and driven to pursue excellence, Automat-it is the ideal destination for you to thrive and make a meaningful impact in the dynamic world of cloud technology. Come as you are, and discover the endless possibilities of being part of our dynamic team!Automat-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 seek an MLOps Engineer to work hands-on with Data Science and R&D teams and be in charge of various projects that span from an entire machine learning pipeline from the MLOps perspective to Generative AI solutions. You will work with our customers and help them build and run machine learning systems at scale, implementing the latest technologies and working with startups that have innovative products. Work location - Ukraine or hybrid in MadridResponsibilitiesDeveloping 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 administrationRequirementsAbility 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
