Senior Python Engineer (MLOps Retraining)
Lviv; Dnipro; Kyiv; Kharkiv, Ukraine
6 днів тому


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 who is inspired by data, analytics, and AI as much as we are, and who wants to grow with us!


A skilled Python Engineer ready to switch your career direction to MLOps and pass an intensive 2-month practical retraining at SoftServe!

A candidate should demonstrate such experience and abilities as

  • MS degree in computer science or related field Proficiency in Python
  • Hands-on expertise with managed services in AWS, GCP, or Azure
  • Knowledge of at least one of the RDBMS or NoSQL engines
  • Workflow orchestration platforms such as Airflow
  • Practical skills in Docker
  • Writing REST API using Flask, Tornado, Twisted or similar
  • Participation in ML projects in any roles
  • Interest in AI / ML, a basic understanding of Data Science techniques
  • Strong problem solving and presentation skills
  • This expertise will help you stand out

  • Apache Spark, Apache Beam, or similar
  • Setting up CI / CD pipelines using Jenkins, CircleCI, Gitlab, or similar
  • Kubernetes
  • Linux and Bash Scripting
  • Presentation activities background such as presentations, workshops, and others

  • Communicate with stakeholders to identify use cases, gather requirements, and set up expectations
  • Guide Engineering and Data Science teams through ML systems production lifecycle
  • Educate Product teams on best practices for putting ML systems in production
  • Collaborate with Data Science teams on model operationalization strategies
  • Work closely with Product teams to deliver and operate ML systems
  • Design and implement end-to-end production pipelines for ML solutions
  • Support and continuously enhance ML software infrastructure : CI / CD, data stores, cloud services, network configuration, security, and system monitoring
  • Design and implement automated deployment and integration of ML models
  • Set up scalable monitoring systems for data pipelines and ML models
  • Maintain ML pipelines in production

  • Operationalize our clients’ AI solutions by leveraging best practices in DevOps, Machine Learning, and Solution Architecture
  • 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
  • Have access to 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
  • Повідомте про це

    Thank you for reporting this job!

    Your feedback will help us improve the quality of our services.

    Моя електронна адреса
    Клацнувши по кнопці "# кнопка", я даю згоду neuvoo на обробку моїх даних та надсилання сповіщень електронною поштою, як це детально описано в Політиці конфіденційності neuvoo. Я можу будь-коли відкликати свою згоду або скасувати підписку.