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ML Ops Engineer

17000 - 24000 PLN netto + vat (B2B)

Poznań,Londyn, Part time remote

Regular / Senior

Full-time

  • Company:
    eREKRUTER IT
  • Size:
    Brak informacji
  • Team:
    100

Wymagania

  • Senior

    • DevOps

  • Regular

    • Python
    • Machine Learning
    • Microsoft Azure

Minimum experience in IT: 4

Job description

The Role

  • We are looking for a highly skilled and motivated ML Ops Data Engineer to join our team and spearhead the creation and implementation of ML Ops capabilities within our organization. As a ML Ops Data Engineer, you will be responsible for building and managing the infrastructure necessary to optimize data pipelines, streamline model deployment, and enhance the overall efficiency of our machine learning systems. You will collaborate with cross-functional teams to identify ML Ops requirements, develop a roadmap, and execute strategies to deliver tangible business outcomes.


Requirements:
  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
  • Proven experience as a Data Engineer or ML Ops Engineer, preferably in a cloud-based environment.
  • Strong knowledge / hands on experience of machine learning principles, algorithms, and frameworks.
  • Proficiency in Python and experience with relevant libraries such as pandas, NumPy, and Apache Spark.
  • Experience in designing and developing Data Engineering pipelines across different paradigms such as batch, event driven and streaming using relevant tools
  • Hands-on experience with cloud platforms specifically Azure, Databricks
  • Experience with Microservice architecture, Models as a Service and RESTful APIs
  • Experience in developing production-level ML applications
  • Experience with DevOps/ML Ops principles
  • Familiarity with containerization technologies like Docker, Kubernetes.
  • Solid understanding of software development principles, version control systems (e.g., Git), and CI/CD methodologies.
  • Strong database skills, including proficiency in SQL and experience with both SQL and NoSQL database systems.
  • Experience with data visualization tools such as Power BI is a plus.
  • Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.


Company - Clarksons is the world’s leading provider of integrated shipping and offshore services, bringing our connections and experience to an international client base. Our intelligence adds value by enabling clients to make more efficient and informed decisions. Our global reach, local knowledge and expertise is what makes us unique.

We are remote first software as a service (SaaS) company, bringing true digital transformation to the global shipping industry. We enhance the way shipping professionals work by creating technology for the maritime industry and bringing it to market.


What you can expect

Despite our dynamic growth, we managed to maintain a relaxed and enjoyable atmosphere of a tightly-knit team that can implement complex projects comprehensively and effectively. Each of us knows what is expected from us and has adequate space and freedom of action.

The actual work is important, but it’s also essential for us at Setapp that we all stay happy, relaxed and motivated. That’s why we provide a wide range of benefits to all of our employees:


  • Training budget
  • Private medical care (Luxmed)
  • Voluntary group life insurance
  • MyBenefit or Multisport card
  • Language courses (English and German)
  • Mentoring program and numerous internal pieces of training
  • Employee referral program
  • Paid days off from services (B2B)
  • A paid day off to care for your health - “Dzień na U” with Fundacja Rak'n'Roll. Wygraj życie!

Integration events, joint company trips, birthday celebrations and many other


What we offer

Salary: 17 000 to 24 000 PLN/month (B2B)

Flexible working hours

You choose how you work - from our office in Poznań or remotely from home, or like most of us, work hybrid :)

Strong focus on growth, interesting projects & people who enjoy working with each other! :)

  • Required languages

    english C1

    • Job Specification

    • Flexible working hours

    • Business travels

    • The office is open

      8-20

    Working tools

    • mobile computer

    • desktop computer

    • additional monitor

    ML Ops Engineer

    17000 - 24000 PLN netto + vat (B2B)

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