MLOps Engineer
6 d. temu


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 best and oldest Data Science teams in Ukraine and you will get tons of experience working with the best talents in the field.

We are a Data Science Center of Excellence and you will have a chance to contribute to the wide range of projects from different areas and technologies.

We’re looking for you, a person who is inspired by data, analytics, and AI as we do, and who wants to grow with us!


  • MLOps Engineer with a MS degree in computer science or related field and 4+ years of relevant experience
  • Experienced with solution infrastructure design
  • Familiar with the Data Science systems and workflow, esp. with all aspects around model operationalization
  • Proficient in distributed systems principles
  • Experienced with engineering best practices, including analyzing, designing, developing, deploying and supporting solution infrastructure implementations and upgrades
  • Skilled in building and using data systems at scale
  • Experient in GCP, AWS or Azure beyond basic provisioning, especially data pipeline components, CI / CD, k8s and ML-relevant managed services
  • Expert in container technology and orchestration platforms using Kubernetes
  • Experienced with building CI / CD pipelines using Gitlab, Jenkins, Azure DevOps, Google Cloud Build or similar
  • Able to perform high-quality performance analysis Skilled in Python, SQL and Shell scripting
  • Highly performant in Networking, TCP / IP and Linux administration
  • Strong in requirement gathering and estimation
  • Able to articulate complex architecture to non-technical audiences
  • Capable of recognizing Data Mining / Machine Learning workflow patterns and solutions associated with those patterns
  • The one who possesses excellent organization, time-management, presentation and communication skills
  • Demonstrating Upper-Intermediate English level or higher (oral / written)
  • Your extra power reveals in the following experience

  • Hands-on experience with Kubeflow, MLFlow, Argo Workflows
  • Workflow management platforms such as Airflow Experience with databases and object stores such as PostreSQL, Redshift, Athena, BigQuery, S3 or similar
  • Storage design Knowledge of Java / Scala
  • Hadoop ecosystem, Apache Spark or similar
  • Stream processing platforms such as Apache Kafka, Cloud Pub / Sub
  • Developing solutions using automation tools such as Terraform, Ansible, Chef
  • Visualization platforms such as Tableau
  • Proficiency with monitoring tools such as Grafana, Prometheus, Stackdriver, Zabbix
  • Familiarity with GitOps approach and tools

  • Communicating with stakeholders to identify use cases, gather requirements and set up expectations
  • Guiding Engineering and Data Science teams on ML systems production lifecycle
  • Educating Product teams on best practices for putting ML systems in production
  • Collaborating with Data Science teams on model operationalization strategies
  • Close cooperation with Product teams to deliver and operate ML systems
  • Designing and 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, system monitoring, etc.
  • Designing and implementing automated deployment and integration of ML models Setup scalable monitoring systems for data pipelines and ML models
  • Maintaining 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
  • Support your technical and personal growth we have a dedicated career plan for all roles in our company
  • Process dynamic projects and still have so much stable place to work
  • Enjoy flexible working hours whether you are a morning bird or a sleepy-head, it is ok with us
  • Take part in internal and external events where you can build and promote your personal brand
  • Give you access to experienced specialists willing to share their knowledge
  • Show you our casual atmosphere no dress code
  • Care about your individual initiatives - we are open for them, just come and share your ideas
  • Share many other advantages with you such as attractive salary, modern office, a package of benefits, language classes
  • Zgłoś tę pracę

    Thank you for reporting this job!

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

    Mój adres email
    Klikając przycisk "Kontynuuj", wyrażam zgodę neuvoo na przetwarzanie moich danych i wysyłanie powiadomień e-mailem, zgodnie z zasadami przedstawionymi przez neuvoo. W każdej chwili mogę wycofać moją zgodę lub zrezygnować z subskrypcji.
    Formularz wniosku