ML Ops Engineer

ML Ops Engineer

Job Description:

We are looking for a talented ML Ops Engineer who will play a crucial role in bridging the gap between data engineering, artificial intelligence, and IT operations. In this role, you will collaborate closely with diverse teams to implement DevOps practices throughout the entire data lifecycle, ensuring that machine learning models are seamlessly integrated and optimized for performance. Your responsibilities will include building and maintaining CI/CD pipelines utilizing modern frameworks, monitoring the performance of deployed models, and ensuring strict governance of these models. You will also stay updated with the latest advancements in artificial intelligence and machine learning, contributing to the innovative solutions we offer.

IT Languages:

• Python

As an ML Ops Engineer, you will be responsible for a variety of tasks that ensure the smooth operation and integration of machine learning models.:

Collaborate with data engineers and AI engineers to integrate DevOps practices;; Build and maintain CI/CD pipelines using modern frameworks;; Ensure seamless integration and performance of machine learning models;; Monitor and maintain ML models in production environments;; Ensure governance of deployed models;; Stay current with advancements in AI and ML

Spoken Languages:

• English;; German

Skillset:

• CI/CD pipelines
• Machine learning
• Model deployment
• Version control

Soft Skills:

• Excellent communication skills
• Strong teamwork capabilities
• Problem-solving mindset

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or a related field
• Strong programming skills in Python
• Experience with ML libraries such as TensorFlow and PyTorch

Years of Experience:

5

Location:

Europe

Job Benefits:

• Flexible working hours
• Health benefits
• Company pension scheme
• Job bike program
• Team events

Working Conditions:

Full Time

Employment Type:

Permanent Contract

Company Culture:

• Our company fosters a dynamic and innovative environment aimed at continuous improvement and collaboration. We value teamwork and encourage our employees to stay ahead in technology to contribute to sustainable solutions.

Opportunities For Advancement:

• Career development programs, Opportunities for further education, Collaborative projects with industry leaders

Visa Sponsorship:

Available