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MLOps Engineer
Company name: Seargin Sp. z o. o.
Company size: 500+ people
Junior
Professional
Senior
Vilnius/Remote, Lithuania
Job Specification

Website Seargin_ Seargin Sp. z o. o.

THE ELITE OF TOP IT EXPERTS

Seargin is looking for an MLOps Engineer

  • Position: MLOps Engineer
  • Technologies: ML, AWS, Bash, Linux
  • Location: Vilnius / Remote
  • Country: Lithuania
  • Area: Project
  • Form of employment: B2B
  • Experience level: Regular / Senior

The main tasks for the MLOps Engineer will be:
  • Being a part of the Risk & Compliance department working in multiple countries
  • Helping with deployment and operating prioritized models to PROD
  • Sharing MLOps best practices with CoE and helping draw up internal guidelines
  • Assisting in pipeline development tailoring to Risk & Compliance CoE needs together with the infrastructure department:
    • CI/CD pipelines
    • Scheduling
    • Monitoring
  • All this is to assure the Risk & Compliance department reaches its goals in 2022
  • Building the pipelines for the statistical models utilizing the existing tech stack as well as bringing your experience into play to leverage new technologies
  • Closely collaborating with experienced Data Scientists and Machine Learning Operations Engineers as well as the business units who are consuming the data science service

The Candidate should have:
  • At least 6 years of experience in a Senior position
  • Software development background
  • Knowledge of:
    • Bash, Linux, Python (or similar), Git
    • The pros and cons of the main CI/CD frameworks in the market and practical experience with at least one of these
    • Best practices for producing quality code (version control, automated testing, code analysis, git branching)
    • Containerized development tooling such as Docker, Kubernetes, Terraform scripting (or CloudFormation), Openshifts, KFServing/KServe
    • Logging tools, such as ElasticStack, Grafana, Prometheus, and/or others
  • Professional background in a complex IT landscape with a mix of on-prem and cloud environments
  • Experience with:
    • At least one of the different ML deployment patterns (Model-as-a-service, Embedded-deployment, Batch)
    • ML lifecycle
    • AWS
    • Multiple the different ML deployment patterns
  • Familiarity with the ML lifecycle and how ML ops differ from DevOps
  • Background in working with the component of an ML infrastructure, e.g. ML registry, cloud platforms, and related technologies (e.g. AWS, Google Cloud, Kubernetes, and/or Azure)
  • Openness to learning new skills and ability to adapt quickly, as the problems, tools, best practices, and architectures are rapidly changing
  • Capability to cooperate and work well with a diverse and agile environment
  • Team-oriented, detail-oriented, efficient, and solution-oriented attitude
  • Superb analytical and problem-solving skills
  • Excellent communication and interpersonal skills
  • Flexibility and ability to work independently and in a team
  • Great English skills (written and spoken)

It would be a plus if the Candidate had: 
  • Familiarity with Machine learning frameworks: Tensorflow and/or PyTorch
  • Practical experience with MLFLow, SageMaker, Seldon, Airflow, Argo, Prefect or DataBricks

The Candidate can expect:
  • B2B Contract
  • Challenging job in an international and multilingual environment
  • Professional development
  • Attractive and competitive compensation

If you meet the requirements described above, please send your application in English (.doc) at jaroslaw.raniewicz@seargin.com stating the name of the position in a subject and/or call +(48) 662 399 001.

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    ABOUT COMPANY
    Company size: 500+
    Main location:Lithuania
    Seargin Sp. z o. o.
    Vilnius/Remote, Lithuania
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