<p><b>Introduction: A Career at HARMAN Automotive</b></p><p>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.</p><ul><li>Engineer audio systems and integrated technology platforms that augment the driving experience</li><li>Combine ingenuity, in-depth research, and a spirit of collaboration with design and engineering excellence</li><li>Advance in-vehicle infotainment, safety, efficiency, and enjoyment</li></ul><p></p><p><b>About the Role</b></p><p>We are seeking a highly skilled <b>AI/ML + DevOps / MLOps Engineer</b> to design, deploy, and manage scalable machine learning pipelines and cloud-native infrastructure. The role combines expertise in <b>AI/ML workflows, DevOps practices, and cloud platforms</b> to enable efficient model development, deployment, and lifecycle management in production environments.</p><div></div><p><b>What You Will Do</b></p><ul><li>Design and implement <b>end-to-end MLOps pipelines</b> for model development, training, deployment, and monitoring</li><li>Build and manage <b>CI/CD pipelines</b> using:<ul><li>GitLab CI</li><li>Jenkins</li><li>Argo CD</li></ul></li><li>Deploy and manage ML workloads on cloud platforms:<ul><li>AWS</li><li>Azure</li></ul></li><li>Develop and maintain <b>containerized applications</b> using:<ul><li>Docker</li><li>Kubernetes</li></ul></li><li>Implement infrastructure automation using <b>Terraform (IaC)</b></li><li>Enable scalable and reliable ML model deployment using:<ul><li>Kubernetes orchestration</li><li>Microservices architecture</li></ul></li><li>Monitor ML models in production for:<ul><li>Performance</li><li>Drift</li><li>Reliability</li></ul></li><li>Optimize deployment workflows and reduce latency for ML inference</li><li>Collaborate with:<ul><li>Data Scientists</li><li>Software Engineers</li><li>DevOps teams<br/>to integrate ML models into production systems</li></ul></li><li>Build automated pipelines for:<ul><li>Data ingestion</li><li>Model training & validation</li><li>Versioning and deployment</li></ul></li><li>Ensure adherence to <b>best practices in DevOps, security, and cloud governance</b></li></ul><div></div><p><b>What You Need to Be Successful</b></p><ul><li>3–6 years of experience in:<ul><li>AI/ML Engineering</li><li>DevOps / MLOps</li></ul></li><li>Strong hands-on expertise in:<ul><li>CI/CD tools (GitLab CI, Jenkins, Argo CD)</li><li>Cloud platforms (AWS / Azure)</li><li>Kubernetes and container orchestration</li></ul></li><li>Experience in <b>Infrastructure as Code (Terraform)</b></li><li>Good understanding of:<ul><li>Machine Learning lifecycle</li><li>Model deployment and monitoring</li><li>Data pipelines and automation</li></ul></li><li>Strong programming/scripting skills in:<ul><li>Python</li></ul></li><li>Solid understanding of:<ul><li>Microservices architecture</li><li>Distributed systems</li></ul></li><li>Experience working in <b>Agile environments</b></li><li>Strong problem-solving and analytical skills</li></ul><div></div><p><b>Bonus Points If You Have</b></p><ul><li>Experience with:<ul><li>ML frameworks (TensorFlow, PyTorch, Scikit-learn)</li><li>MLOps tools (MLflow, Kubeflow, SageMaker)</li></ul></li><li>Knowledge of:<ul><li>Data engineering pipelines</li><li>Streaming platforms (Kafka)</li></ul></li><li>Experience with:<ul><li>Monitoring tools (Prometheus, Grafana)</li><li>Logging systems</li></ul></li><li>Exposure to <b>automotive or embedded AI environments</b></li></ul><div></div><p><b>What Makes You Eligible</b></p><ul><li>Bachelor’s / Master’s degree in:<ul><li>Computer Science</li><li>Data Science</li><li>Electronics / IT</li></ul></li><li>Proven experience in:<ul><li>Cloud-native ML deployments</li><li>CI/CD pipeline automation</li><li>DevOps + AI/ML integration</li></ul></li></ul><p></p><p></p><p><b>What We Offer </b></p><p>- Competitive salary and benefits package</p><p>- Opportunities for professional growth and development</p><p>- Collaborative and dynamic work environment</p><p>- Access to cutting-edge technologies and tools</p><p>- Recognition and rewards for outstanding performance through BeBrilliant</p><p>- Chance to work with a renowned German OEM</p><p>- You are expected to work all 5 days in a week in office</p><p></p><p></p>