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General information

Location:
DE_Garching_Parkring 1-5
Additional Location:
Garching, Germany
Job Family:
Engineering
Worker Type Reference:
Regular - Permanent
Pay Rate Type:
Salary
JOB ID:
R-19880-2022

Description & Requirements

About the Job

You are a passionate MLOps professional, who is enthusiastic about automotive electronics and wants to define the future in-cabin user experience?

Join our Automotive AI Lab as MLOps Engineer. In a team of ML and MLOps specialists, you will operate, develop, and expand the MLOPs platform for the automotive division. With state of the art and cutting-edge data management and ML pipelines, you enable global data collection, cloud and on-premise model training, validation, and deployment. Integrating MLOps with CI/CD and providing meaningful dashboards, you provide the foundation for the efficient development of our personalized sound, mixed reality, comfort, and security solutions. 

What You Will Do

  • Build and maintain MLOps pipelines to support experimentation, continuous integration, and deployment (CI/CD), verification, validation, and monitoring of ML models in development and production 
  • Implement solutions for automating the full end-to-end ML model development workflow 
  • Continuously improve the efficiency of the MLOps workflows with industry benchmark and cutting-edge tools and best practices 
  • Collaborate with multidisciplinary AI/ML teams to identify their ML workflow requirements and to implement these in the MLOps system 

What You Need

  • Bachelor's degree in computer science or comparable practical experience 
  • 4 years of industry experience in MLOps or data management for ML workflows 
  • Demonstrated experience with MLOps and cloud machine-learning platforms like SageMaker, DataBricks 
  • Proficient in Big Data technologies like Kafka, Apache Spark, Hadoop, databases (SQL and NoSQL), cloud computing platforms like AWS, Programming Languages Java, Python 

What is Nice to Have

  • Good understanding of machine learning, data science, and DevOps fundamentals 
  • Experience with global data privacy regulations and their implementation in the AI/ML workflow 
  • Experience working in automotive software engineering 
  • Advanced degree in computer science, data science, engineering, mathematics, or similar field 

What Makes You Eligible

  • Willingness to travel up to 10%, domestic and international travel 

What We Offer

  • HARMAN offers a diverse and inclusive work environment that fosters and encourages career development opportunities, professional training and competitive market base compensation
  • Hybrid work conditions
  • You will also receive top-notch employee discounts on Harman’s Consumer Audio (JBL, AKG, HARMAN Kardon) and Samsung products
  • Flexible work schedule with a culture encouraging work life integration and collaboration in a global friendly working atmosphere and good work-life-balance
  • Attractive salary package based on the Metall & Elektro Tarif Baden Wurttemberg and an Employer contribution towards a company pension plan
  • Professional development opportunities through HARMAN University’s business and leadership academies which also includes extensive technical trainings
  • Internal talent management leadership acceleration programs
  • “Be Brilliant” employee recognition and rewards program

#LI-hybrid #LI-MM2


HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.