SoftServe is a global digital solutions company with Ukrainian roots. We are a team of thinkers, doers, dedicated good people who like what they do and do it well. For us, that means a lot.
15 ноября 2021

Lead MLOps Engineer (ID 60519) (вакансия неактивна)

Киев, Харьков, Львов, Днепр, Одесса, Винница, Житомир, Кропивницкий, Черкассы, Черновцы, удаленно


Transforming the way thousands of global organizations do business by developing the most innovative technologies and processes in Big Data, Internet of Things (IoT), Data Science, and Experience Design. We are one of the largest teams in Eastern Europe that stood at the origins of Data Science, so you will get tons of experience while working with the best talents in the field. In a Data Science Center of Excellence, you will have a chance to contribute to a wide range of projects in different areas and technologies. We are looking for a person inspired by data, analytics, and AI as much as we are, and who wants to grow with us!


  • A Machine Learning Engineer who is interested in operationalizing ML pipelines and bringing them to production
  • Ready to design and implement ML end-to-end solutions, create data pipelines and architectures, set up the infrastructure, and optimize existing models
  • Strongly competent in Machine Learning/Deep Learning models and model lifecycle, have a solid knowledge of software engineering, and a good understanding of DevOps/MLOps principles

A candidate should demonstrate such experience and abilities as

  • MS degree in Computer Science or related field
  • 4+ years of relevant background
  • Strong knowledge of Python and traditional Python DS/ML stack
  • Deep concept of ML solutions design patterns
  • Working knowledge of AI/ML and Data Engineering tools in any major cloud platform such as GCP, AWS, or Azure
  • Hands-on expertise with ML operationalization
  • Setting up CI/CD/CT pipelines for ML
  • Hands-on practice with Kubeflow, MLflow, or similar
  • Working experience with containers and container orchestration platforms such as Kubernetes
  • Strong requirements gathering and estimation
  • Upper-Intermediate English level or higher

Your extra power reveals in the following experience

  • Designing and building feature stores
  • Hadoop ecosystem and Apache Spark
  • Workflow orchestration platforms such as Airflow
  • Message queues and streaming platforms
  • Java/Scala


  • Communicating use cases, requirements, and expectations with stakeholders
  • Guiding Engineering and Data Science teams on ML systems production lifecycle
  • Data Science teams on model operationalization strategies
  • Product teams closely to deliver and operating ML systems
  • Implementing end-to-end production pipelines for ML solutions
  • Supporting and continuously enhancing ML software infrastructure: CI/CD, data stores, cloud services, network configuration, security, and system monitoring
  • Setting up scalable monitoring systems for data pipelines and ML models


  • Operationalize our clients’ AI solutions by leveraging best practices in Machine Learning and MLOps, DevOps, and Software engineering
  • Maintain synergy of Data Scientists, DevOps team, and ML Engineers to build infrastructure, set up processes, productize machine learning pipelines, and integrate them into existing business environments
  • Participate in international events
  • Get certifications in cutting-edge technologies
  • Have the possibility to work with the latest modern tools and technologies on different projects
  • Access strong educational and mentorship programs
  • Communicate with the world-leading companies from our logos portfolio
  • Work as a consultant on different projects with a flexible schedule