About this role
Job title: AI/ML + DevOps / MLOps Engineer
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 in production environments.
What You'll 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, and Argo CD
- Deploy and manage ML workloads on cloud platforms (AWS, Azure)
- Develop and maintain containerized applications using Docker and Kubernetes
- Implement infrastructure automation using Terraform (IaC)
- Enable scalable ML model deployment using Kubernetes orchestration and microservices
- Monitor ML models in production for performance, drift, reliability
- Optimize deployment workflows and reduce latency for ML inference
- Collaborate with Data Scientists, Software Engineers, and DevOps teams to integrate ML models into production systems
- Build automated pipelines for data ingestion, model training & validation, versioning, and deployment
- Ensure adherence to DevOps, security, and cloud governance best practices
What We're Looking For
- 3–6 years of experience in AI/ML Engineering and DevOps / MLOps
- Strong hands-on expertise in CI/CD tools (GitLab CI, Jenkins, Argo CD)
- Cloud platforms (AWS / Azure) and Kubernetes
- Infrastructure as Code (Terraform)
- Python programming/scripting
- Microservices architecture and distributed systems
- Data pipelines and automation
- Agile environment, strong problem-solving and analytical skills
Nice to Have
- ML frameworks (TensorFlow, PyTorch, scikit-learn)
- MLOps tools (MLflow, Kubeflow, SageMaker)
- Data engineering pipelines, Kafka, monitoring (Prometheus, Grafana)
- Logging systems; exposure to automotive or embedded AI environments
Compensation & Benefits
- 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 through BeBrilliant
- Chance to work with a renowned German OEM
- You are expected to work all 5 days in office