MLOps Engineer with Python in Sii Poland

We seek a highly skilled MLOps Engineer to build automation to enable machine learning engineers to continuously deliver predictive analytics for performance, forecasting, personalization, and inventory optimization. You will work with a team of architects, platform engineers, and machine learning engineers to come up with new and interesting models, test them, and productionalize and scale them in the cloud as APIs, stream processing, or massive batch processing. We are looking for a high-energy individual with experience developing cloud-native applications, APIs, and data pipelines that value automation, testing, and security. You will orchestrate cloud, containers, big data, parallel processing technologies, advanced analytics, machine learning, and deep learning techniques to quantitatively plan product demand, allocate resources, and target the right customers with the best products. Join us now!Your tasksCreate cloud infrastructure for machine learning following the MLOps modelDevelop and implement public and internal APIsDesign event and streaming-based servicesBuild Tests and Build a Pipeline for automated DeploymentEstablish Monitoring and Alerting for custom infrastructureWork with batch data pipelines for machine learning for massive data setsSupport investigation of new cloud services, software packages/tools, APIs, container management, and distributed systems, to continuously deliver quality analytics and machine learning at scaleCooperate with a cross-functional agile team of software engineers, data engineers, ML experts, and others to build new product featuresEnable rapid iteration and product quality through continuous A/B testingDesign, implement, and maintain solutions/platformsCollaborate with platform engineering and architects to utilize best practices and maintain complianceRequirementsAt least 5 years of demonstrated experience in enabling MLOpsExperience with system configuration management tools, such as Ansible, Puppet, or ChefKnowledge of CI/CD infrastructure using Git, Jenkins, or similar toolsProficiency with Docker, Kubernetes, Mesos, containers, and related tools and systemsBackground with AWS components and services, particularly, IAM, ECS/EKS, EMR, S3, and Lambda/ServerlessPrefer infrastructure as code experience with CloudFormation or TerraformStrong Python, shell scripting, and SQLFamiliarity with Spark, Databricks, SnowflakeAttention to agile development processes, data-driven development, reliability, and responsible experimentationBachelor’s Degree in computer science, software engineering, or related field preferredJob no. 250109-3Z8J9 Show more Show less Посадовий рівень Старший середній рівень Тип зайнятості Повний робочий день Посадові обов’язки ІнженеріMe and Information Technologies Industry IT services and IT consulting