Description & Requirements
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