Container management – 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 Container management – 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
]]> Junior Cloud Engineer https://whoneedsengineers.com/jobs/devops-cloud-and-it-operations/junior-cloud-engineer/ Sun, 22 Sep 2024 23:10:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/junior-cloud-engineer/ Junior Cloud Engineer

Job Description:

    We are looking for a Junior Cloud Engineer to join our team and assist in delivering diverse projects for clients in various sectors including banking, insurance, automotive, and telecommunications. As a Junior Cloud Engineer, you will work closely with your team, gaining invaluable experience not just in technology, but also in client management and agile methodologies. This role involves supporting the design, architecture, and management of container landscapes, collaborating with architects on public and private cloud technologies, and working alongside product management specialists to enhance the cloud services offered by our company. You will also coordinate the development of future PaaS and SaaS features in conjunction with product management and service management.

IT Languages:

  • Python
  • Java
  • Go
  • JavaScript

As a Junior Cloud Engineer, your key responsibilities will involve engaging in a variety of projects, contributing to the development and management of cloud environments, and collaborating with different teams to ensure successful project delivery.:

    Support the design and management of container landscapes;; Collaborate with architects to advise on public and private cloud technologies;; Work with product management and technology partners to enhance cloud services;; Assist in the development of PaaS and SaaS services;; Coordinate future PaaS and SaaS features with product management and service management

Spoken Languages:

  • English;; German

Skillset:

  • Cloud application development
  • Container management
  • Agile methodologies
  • DevOps practices
  • Microsoft Azure
  • Amazon Web Services
  • Linux
  • OpenStack
  • Docker

Soft Skills:

  • Teamwork
  • Communication
  • Problem-solving
  • Adaptability

Qualifications:

  • Degree in Computer Science or a comparable vocational training
  • Basic experience in cloud application development and associated tools
  • Familiarity with agile development processes such as Scrum
  • Understanding of the interface between development and application operations in the cloud (DevOps)
  • Initial experience with cloud providers such as Microsoft Azure or Amazon Web Services
  • Knowledge of system technologies such as Linux, virtualization, and OpenStack
  • Experience with popular open-source configuration management tools
  • Willingness to learn new topics and technologies

Years of Experience:

    1

Location:

    Europe

Job Benefits:

  • Excellent development opportunities
  • Mentoring program
  • Certification support
  • Great working atmosphere
  • Attractive and above-average salary
  • Modern technical equipment
  • Flat hierarchies
  • Company pension plan
  • Asset-building benefits
  • Remote work options
  • Company car or job ticket

Working Conditions:

    Full Time

Employment Type:

    Permanent Contract

Company Culture:

  • Our company values a positive work environment where employees can enjoy their tasks and feel supported in their professional growth. We believe in providing the necessary resources for our team to thrive and advance their careers.

Opportunities For Advancement:

  • Professional development programs, Mentorship opportunities, Access to advanced training and certifications

Visa Sponsorship:

    Available
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