Software Engineer ML Ops DevOps

Introduction: A Career at HARMAN Automotive

Were a global multi-disciplinary team thats putting the innovative power of technology to work and transforming tomorrow. At HARMAN Automotive we give you the keys to fast-track your career.

• Engineer audio systems and integrated technology platforms that augment the driving experience
• Combine ingenuity in-depth research and a spirit of collaboration with design and engineering excellence
• Advance in-vehicle infotainment safety efficiency and enjoyment

About the Role

We are seeking a highly skilled AI/ML DevOps / MLOps Engineer to design deploy and manage scalable machine learning pipelines and cloud-native infrastructure. The role combines expertise in AI/ML workflows DevOps practices and cloud platforms to enable efficient model development deployment and lifecycle management in production environments.

What You Will Do

• Design and implement end-to-end MLOps pipelines for model development training deployment and monitoring
• Build and manage CI/CD pipelines using:
  • GitLab CI
  • Jenkins
  • Argo CD
• Deploy and manage ML workloads on cloud platforms:
  • AWS
  • Azure
• Develop and maintain containerized applications using:
  • Docker
  • Kubernetes
• Implement infrastructure automation using Terraform (IaC)
• Enable scalable and reliable ML model deployment using:
  • Kubernetes orchestration
  • Microservices architecture
• Monitor ML models in production for:
  • Performance
  • Drift
  • Reliability
• Optimize deployment workflows and reduce latency for ML inference
• Collaborate with:
  • Data Scientists
  • Software Engineers
  • DevOps teams
    to integrate ML models into production systems
• Build automated pipelines for:
  • Data ingestion
  • Model training & validation
  • Versioning and deployment
• Ensure adherence to best practices in DevOps security and cloud governance

What You Need to Be Successful

• 36 years of experience in:
  • AI/ML Engineering
  • DevOps / MLOps
• Strong hands-on expertise in:
  • CI/CD tools (GitLab CI Jenkins Argo CD)
  • Cloud platforms (AWS / Azure)
  • Kubernetes and container orchestration
• Experience in Infrastructure as Code (Terraform)
• Good understanding of:
  • Machine Learning lifecycle
  • Model deployment and monitoring
  • Data pipelines and automation
• Strong programming/scripting skills in:
  • Python
• Solid understanding of:
  • Microservices architecture
  • Distributed systems
• Experience working in Agile environments
• Strong problem-solving and analytical skills

Bonus Points If You Have

• Experience with:
  • ML frameworks (TensorFlow PyTorch Scikit-learn)
  • MLOps tools (MLflow Kubeflow SageMaker)
• Knowledge of:
  • Data engineering pipelines
  • Streaming platforms (Kafka)
• Experience with:
  • Monitoring tools (Prometheus Grafana)
  • Logging systems
• Exposure to automotive or embedded AI environments

What Makes You Eligible

• Bachelors / Masters degree in:
  • Computer Science
  • Data Science
  • Electronics / IT
• Proven experience in:
  • Cloud-native ML deployments
  • CI/CD pipeline automation
  • DevOps AI/ML integration

What We Offer

- Competitive salary and benefits package

- Opportunities for professional growth and development

- Collaborative and dynamic work environment

- Access to cutting-edge technologies and tools

- Recognition and rewards for outstanding performance through BeBrilliant

- Chance to work with a renowned German OEM

- You are expected to work all 5 days in a week in office

HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard torace 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.