Mlops Engineer in Softserve


  Remote (Chile) | Senior | Full time | Programming

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Replies between 11 and 25 days
Last checked 7 days ago
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SoftServe is a leading technology solutions company specializing in software products, application development, and services. Our mission is to be a valuable partner for our clients (from start-ups to large enterprises) – we measure our success by our client's success. We are a global team passionate about the development of advisory and consulting services. Transforming the way thousands of global organizations do business by developing the most innovative technologies and processes in Big Data, the 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, and we are looking for a Machine Learning Engineer who is interested in operationalizing ML pipelines and bringing them to production. You will design and implement ML end-to-end solutions, create data pipelines and architectures, set up the infrastructure, and optimize existing models.


  • 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 to deliver and operate 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
  • Operationalizing our clients’ AI solutions by leveraging best practices in Machine Learning and MLOps, DevOps, and Software engineering
  • Maintaining synergy of Data Scientists, DevOps team, and ML Engineers to build infrastructure, set up processes and Machine Learning pipelines, and integrate them into existing business environments


  • Interested in operationalizing ML pipelines and bringing them to production
  • Strongly competent in Machine Learning/Deep Learning models and model lifecycle; software engineering, and DevOps/MLOps principles
  • A holder of an MS degree in Computer Science, or a related field, with 3+ years of relevant experience
  • Skilled in Python (and traditional Python DS/ML stack) and ML solutions design patterns
  • Experienced in AI/ML and Data Engineering tools in AWS, GCP, or Azure
  • Hands-on with ML operationalization
  • Setting up CI/CD/CT pipelines for ML
  • Working with Kubeflow, and ML flow
  • Experienced with containers and container orchestration platforms (Kubernetes)
  • Advanced conversational English, able to express ideas clearly

Your extra power is

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


  • 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

Library Access to a library of physical books.
Accessible An infrastructure adequate for people with special mobility needs.
Pet-friendly Pets are welcome at the premises.
Flexible hours Flexible schedule and freedom for attending family needs or personal errands.
Life insurance Softserve pays or copays life insurance for employees.
Bicycle parking You can park your bicycle for free inside the premises.
Digital library Access to digital books or subscriptions.
Health coverage Softserve pays or copays health insurance for employees.
Dental insurance Softserve pays or copays dental insurance for employees.
Computer provided Softserve provides a computer for your work.
Fitness subsidies Softserve offers stipends for sports or fitness programs.
Informal dress code No dress code is enforced.
Vacation over legal Softserve gives you paid vacations over the legal minimum.
Beverages and snacks Softserve offers beverages and snacks for free consumption.
Vacation on birthday Your birthday counts as an extra day of vacation.

Remote work policy

Locally remote only

Position is 100% remote, but candidates must reside in Chile.

About Softserve

We are advisors, engineers, and designers solving business challenges with innovative technology solutions. #StandWithUkraine — Softserve's full profile