Software Engineer - ML Ops DevOps

Introduction: A Career at HARMAN Automotive

We’re a global, multi-disciplinary team that’s 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

• 3–6 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

• Bachelor’s / Master’s 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