Gitflow – Who Needs Engineers https://whoneedsengineers.com/wne_live Software Engineering Recruitment Wed, 25 Sep 2024 22:00:01 +0000 en-US hourly 1 https://wordpress.org/?v=6.6.2 https://whoneedsengineers.com/wne_live/wp-content/uploads/2023/06/cropped-wne_logo-3-32x32.png Gitflow – Who Needs Engineers https://whoneedsengineers.com/wne_live 32 32 Machine Learning Operations Engineer – Hybrid https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/machine-learning-operations-engineer-hybrid/ Wed, 25 Sep 2024 22:00:01 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/machine-learning-operations-engineer-hybrid/ Machine Learning Operations Engineer – Hybrid

Job Description:

    We are seeking a skilled Machine Learning Operations Engineer to join our team within the Central Data Platforms & AI division. In this role, you will be responsible for the design, implementation, and monitoring of the infrastructure and processes that are essential for efficiently operating and scaling machine learning models in our production environments. This full-time position allows for a hybrid working model, with opportunities to work remotely on select days. Your contributions will directly influence the effectiveness and reliability of our machine learning applications, ensuring they meet the demands of our business objectives.

IT Languages:

  • Python
  • SQL
  • Java

As a Machine Learning Operations Engineer, you will play a pivotal role in the deployment and management of machine learning models, ensuring their efficiency, scalability, and robustness.:

    Design, create, and automate the management of the machine learning model lifecycle;; Collaborate closely with Data Engineers and Scientists to streamline processes;; Optimize deployment processes using MLOps and DevOps principles;; Establish robust monitoring systems to assess model performance and data changes

Spoken Languages:

  • English;; German

Skillset:

  • MLFlow
  • Azure DevOps
  • Databricks
  • CI/CD
  • Gitflow
  • Container Management
  • Infrastructure as Code
  • PyTorch
  • TensorFlow

Soft Skills:

  • Analytical thinking
  • Proactive problem-solving
  • Quality-oriented work ethic
  • Professional demeanor

Qualifications:

  • Degree in Computer Science, Data Science, Statistics, Mathematics, Physics, or a related field
  • Strong experience in deploying and managing machine learning models in production environments
  • Familiarity with DevOps and MLOps principles

Years of Experience:

    5

Location:

    Göttingen, Lower Saxony, Germany, EU

Job Benefits:

  • Room for personal and professional development through various programs
  • Flexible working arrangements including home office options
  • Attractive compensation package with additional benefits
  • Modern campus amenities including open space offices and fitness facilities
  • Comprehensive onboarding with support from a designated buddy

Working Conditions:

    Hybrid

Employment Type:

    Permanent Contract

Company Culture:

  • We foster a collaborative and innovative environment where team players and creative minds can thrive. Our focus is on personal growth and making a meaningful impact in the fight against diseases.

Opportunities For Advancement:

  • Mentoring programs, Leadership training, Internal workshops

Visa Sponsorship:

    Available
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