(Senior) AI Engineer / MLOps Engineer (m/f/d)

Atlas Metrics; München; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Benefits dieser Stelle

Construction site visits

Included gym membership

Flat hierarchies

Flexible working hours

Team events

Zusammenfassung

Atlas Metrics is seeking a (Senior) AI Engineer / MLOps Engineer to lead the MLOps processes and bridge AI engineering with business value in Munich. The ideal candidate will have a Bachelor's or Master's degree in Engineering, prove proficiency in MLOps, Python, and Azure, and have a passion for developing AI solutions. This full-time position offers a hybrid work model with unique perks in a startup environment, focusing on the innovative processing of supply chain documents.

Qualifikationen

• 5+ years of experience in MLOps and machine learning lifecycle management.
• Experience with generative AI and OCR.
• Ability to write clean, reusable, and well-tested code.

Aufgaben

• Lead MLOps processes and maintain infrastructure for AI systems.
• Align technical initiatives with customer needs.
• Collaborate to implement features for AI-driven supply chain systems.
• Improve accuracy and efficiency of AI features through testing.
• Contribute to scalability and functionality of AI solutions.

Kenntnisse

MLOps

Natural Language Processing

Image Processing Techniques

Python

Azure

Problem-solving skills

Customer-centric thinking

Ausbildung

Bachelor's or Master's degree in Engineering or related field

Tools

AI frameworks and libraries

Terraform

Jobbeschreibung

(Senior) AI Engineer / MLOps Engineer (m/f/d)

München (Hybrid)

Full-time

Permanent employee

Your mission

• Lead our Machine Learning Operations (MLOps) processes, building and maintaining the infrastructure that keeps our AI systems reliable, scalable, and secure.
• Bridge the gap between AI engineering and business value by aligning technical initiatives with customer needs, supporting sales and product discussions, and driving measurable impact for our clients.
• Collaborate closely with our engineering and product team to design and implement advanced features for our AI-driven supply chain operating system and to ensure smooth integration of machine learning models and data pipelines into production systems.
• Guide and support the work on improving the accuracy, efficiency, and uncertainty estimation of our existing AI-based features and conduct rigorous testing to ensure their high quality and reliability.
• Contribute to the scalability, maintainability and core functionality of our AI solutions and be part of building new ones.
• Establish and uphold high standards in our engineering practices, tooling, and processes.

Your profile

• Bachelor's or Master's degree in Engineering or a related field.
• Proven experience in MLOps, including end-to-end machine learning lifecycle management and 5+ years of experience with natural language processing, and image processing techniques.
• Passionate about developing AI solutions, particularly in generative AI combined with OCR and strong customer centric thinking, in order to prioritize the generated customer value as high as the quality of the cutting-edge solutions.
• Strong proficiency in Python and Azure, with experience in AI frameworks and libraries. Experience in Terraform is nice to have.
• Demonstrated ability to write clean, reusable, and well-tested code.
• Leadership experience, either technical or disciplinary, is a plus.
• Strong problem-solving skills and enthusiasm for tackling challenging customer issues.
• Fluency in English with strong reading comprehension in German (B2 level or higher) required.

Why us?

• Take the opportunity to help shape a growing start‑up from the ground up and have a measurable impact on the early development of our product.
• Build up a solution disrupting the whole market of processing supply chain documents in conservative industries such as construction.
• Work with a team experienced both in product development and our target industries.
• Perks such as construction site visits and included gym membership.
• Get all the additional benefits of a start‑up (flat hierarchies, flexible working hours, responsibility, work hybrid‑style, cool team events, etc.).