MLOps Engineer

MLOps Engineer

Job Description:

Are you passionate about the intersection of artificial intelligence and operational excellence? We are on a mission to revolutionize the AI landscape, especially within the German Mittelstand. Our innovative team is dedicated to creating AI solutions that not only enhance business processes but also foster a collaborative environment that thrives on transparency and knowledge sharing. In this role, you will be at the forefront of developing and optimizing MLOps pipelines, ensuring that our models are deployed efficiently and securely while maintaining high performance. Join us in our commitment to ethical AI practices and contribute to a future where technology serves humanity positively.

IT Languages:

• Python
• TensorFlow
• PyTorch
• Scikit-learn

As an MLOps Engineer, you will play a critical role in bridging the gap between machine learning models and production environments.:

Design, build, and maintain end-to-end MLOps pipelines for seamless deployment of machine learning models;; Collaborate with data scientists and product teams to integrate ML models into production environments;; Implement and manage CI/CD processes specifically tailored for machine learning projects;; Monitor and optimize the performance and reliability of ML models in production;; Ensure best practices for model versioning, traceability, and reproducibility are upheld;; Troubleshoot and resolve issues related to model deployment and performance;; Implement robust monitoring and alerting mechanisms for deployed models;; Maintain compliance with security and data privacy standards within ML workflows;; Research and evaluate new tools and technologies to enhance MLOps processes

Spoken Languages:

• English;; German

Skillset:

• MLOps
• DevOps
• CI/CD
• Docker
• Kubernetes
• Monitoring tools
• Version control

Soft Skills:

• Excellent problem-solving abilities
• Strong communication skills
• Ability to work collaboratively in cross-functional teams
• Proactive approach to identifying and addressing issues

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field
• Strong proficiency in Python programming
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Deep understanding of cloud platforms and their machine learning services

Years of Experience:

3

Location:

Germany

Job Benefits:

• Competitive salary based on experience
• Flat hierarchies encouraging personal initiative
• Career advancement opportunities in a dynamic environment
• Flexible remote work culture
• Access to training and mentorship programs
• Modern technology and equipment
• Central office location in Stuttgart
• Vibrant team culture with regular events
• Engagement in sustainability initiatives
• Recognition programs for performance

Working Conditions:

Full Time

Employment Type:

Permanent Contract

Company Culture:

• We emphasize a culture of innovation and collaboration, where every team member is valued for their contributions. Our environment is dynamic and supportive, allowing individuals to grow both personally and professionally while making a meaningful impact through AI.

Opportunities For Advancement:

• Professional growth through training, Mentorship opportunities, Participation in innovative projects

Visa Sponsorship:

Available