Machine Learning Engineer

hace 1 semana

Barcelona, Barcelona, España Freudenberg Sealing Technologies A tiempo completo

Working at Freudenberg:
"We will wow your world" This is our promise. As a global technology group, we not only make the world cleaner, healthier and more comfortable, but also offer our 52,000 employees a networked and diverse environment where everyone can thrive individually. Be surprised and experience your own wow moments.

Some of your Benefits:

Flexible Work Models:

Flexible Work Models:

We allow for flexible work models to ensure both professional and personal success

International Opportunities:

International Opportunities:

Grow in your career through international exchange and global job opportunities

Personal Development:

Personal Development:

We offer a variety of trainings to ensure you can develop in your career

Safe Environment:

Safe Environment:

We strive to ensure safety remains a top priority, and provide a stable environment for our employees

Sustainability & Social Commitment:

Sustainability & Social Commitment:

We support social and sustainable projects and encourage employee involvement.- Parets del Vallès

Hybrid Work

  • Freudenberg Sealing Technologies S.L.U.


Are you ready to make a significant impact as part of our expanding "Advanced Analytics" team? We are seeking a talented Machine Learning Engineer to drive the development and maintenance of our cutting-edge machine learning solutions.


Machine Learning Engineer (f/m/d):

Responsibilities:

-
Innovative Solutions in Production: You are part of the growing team "Advanced Analytics" of machine learning experts and responsible for bringing and keeping our machine learning solutions in production
-
Codebase Enhancement:You take care of extending and distributing our machine learning codebase including automated code testing and documentation
-
Pipeline Design and Monitoring: You design and implement pipelines for the deployment and monitoring of our machine learning solutions
-
Continuous Improvement:You are intrinsically motivated to continuously improve implementations in your field
-
Collaborative Approach:Your approach to work is characterized by open communication and a convincing presentation of your solutions
-
Technology Research:You research the latest technologies and actively support the team in the selection and integration of suitable tools, frameworks, and technologies to improve our machine learning portfolio

Qualifications:

-
Education:Bachelor's degree in Computer Science, Software Engineering, or a related field (Master's degree preferred)
-
Professional Expertise: Several years of experience in MLOps, DevOps, or related roles, with a strong grasp of software development and testing principles.
-
Communication Skills: Strong English communication skills (German proficiency is a plus).
-
Skills needed to be successful in this role:


  • Python Proficiency: Advanced skills in object-oriented programming with Python, including code packaging techniques (e.g., using poetry).
-
Infrastructure Acumen: Experience with containerization (Docker), pipeline orchestration, and infrastructure as code tools (e.g., Terraform), ideally within cloud environments (Azure platform preferred).
-
Kubernetes Knowledge: Familiarity with container orchestration using Kubernetes and the ability to contribute to cluster maintenance.
-
Team Collaboration: A collaborative mindset, dedicating your creativity and motivation to our team's vision.
-
Continuous Learner: Ability to work independently, prioritize quality and innovation, and embrace new technologies and methodologies.

The Freudenberg Group is an equal opportunity employer that is committed to diversity and inclusion.

Employment opportunities are available to all applicants and associates without regard to race, color, religion, creed, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity or expression, national origin, ancestry, age, mental or physical disability, genetic information, marital status, familial status, sexual orientation, protected military or veteran status, or any other characteristic protected by applicable law.


Additional Information:

  • Jessica Schmid
  • 06201/

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