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  • MLOps Engineer
    New
    DevOps

    MLOps Engineer

    Wrocław
    4 666 - 6 139 USDNet/month - B2B
    Type of work
    Full-time
    Experience
    Mid
    Employment Type
    B2B
    Operating mode
    Remote
    Holisticon Insight

    Holisticon Insight

    At Holisticon Insight, we specialize in Microsoft Azure IoT, AI, and advanced analytics, helping our clients develop cutting-edge cloud services, data platforms, and portals, while using AI to analyze data and uncover valuable insights. As part of the Holisticon brand in Poland under the Nexer Group, we’re dedicated to driving innovation and delivering high-quality solutions to our clients in Sweden, US & UK.

    Company profile

    Tech stack

      English

      advanced

      AWS

      regular

      Spark

      regular

      MLflow

      regular

      Python

      regular

      Power BI

      nice to have

      Databricks

      nice to have

    Job description

    Online interview
    Friendly offer

    Holisticon Insight (former Nexer Insight) is a division of http://nexergroup.com focused on IoT, AI, and advanced analytics. We assist our customers in developing IoT services, portals, and mobile apps and, above all, analyze data using AI and advanced analytics to reduce costs, streamline, and find new opportunities for the business. Our goal is to grow strong but rather in competencies than in numbers. We get things done and, on the way, we build a dynamic company culture to create the best place for our development. We love the atmosphere of a family business with its flat structure and self-organized teams where every opinion matters and influences our way of working


    Check us out!

    👇https://holisticon.pl/holisticon-insight/


    We offer a choice of employment form on both B2B and Employment Contract 

    • B2B: 113 – 148 PLN net/hour + VAT
    • UoP: 14 330 – 18 860 PLN gross/month



    🚀 We are looking for an MLOps Engineer who is skilled in AWS and/or software engineering to aid Data scientists. You will further strengthen the Advanced Analytics team of our client, a Swedish-based leading provider of transport solutions The team has been implementing Databricks as an ML platform since one year back, and is currently in the midst of migrating all of our projects to the cloud (Databricks).



    📌 In the role of MLOps Engineer you will:

    • Collaborate with Data Scientists, Data Engineers, and front-end developers in model development and deployment processes.
    • Optimise and/or refactor data science notebook codes to scalable and maintainable machine learning/software applications.
    • Track, Experiment and register the models in MLFlow.
    • According to the client's cloud setup, customize and develop Machine Learning & MLOps pipelines with the aid of Databricks and/or AWS services.
    • Write unit, integration, and end-to-end tests to ensure the robustness of the models being developed & deployed.



     You might be the perfect match if you possess the following competencies:

    • 3+ years of experience as MLOps Engineer
    • Proven experience with Python, Spark and MLFlow
    • Experience working in Agile working methods, CI/CD, and DevOps
    • Preferable cloud and ML platform experience - AWS (AWS Lake formation), Databricks
    • Good knowledge of Software engineering best practices
    • Excellent English communication skills



    🙌 Nice to have:

    •  Expertise in advanced concepts of MLFlow
    •  Knowledge of Machine learning algorithms
    •  Previous experience in Kubeflow & Seldon Core or similar
    • Tech stack (good to be aware of, but not mandatory): Glue Catalog, Snowflake, PowerBI.




    ✨ By joining Nexer Insight you will get:

    • B2B: 113 – 148 PLN net/hour + VAT
    • Life insurance
    • Multisport card
    • Fully remote job
    • Private medical care
    • Flexible working hours
    • B2B or contract of employment
    • Amazing integration events on a regular basis
    • Training budget (e.g. Microsoft Azure Certifications)
    • Opportunity to impact our company culture build-up
    • Work equipment (laptop, 2 monitors, and accessories)




    🔍Our recruitment process consists of the following steps:

    • Initial interview with Julia, our recruiter - 30 minutes
    • Technical interview with one of our technical interviewers - 30-45 minutes
    • Interview with the client - 1 hour

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