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
HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, 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.
Skills Required
- 3-6 years experience in AI/ML Engineering and DevOps/MLOps
- Hands-on expertise with CI/CD tools: GitLab CI, Jenkins, Argo CD
- Experience with cloud platforms: AWS and Azure
- Containerization and orchestration: Docker and Kubernetes
- Infrastructure as Code using Terraform
- Strong programming/scripting skills in Python
- Understanding of machine learning lifecycle, model deployment, monitoring, and data pipelines
- Familiarity with microservices architecture and distributed systems
- Experience working in Agile environments
- Bachelor's or Master's degree in Computer Science, Data Science, Electronics, or IT
- Proven experience in cloud-native ML deployments and CI/CD pipeline automation
Harman Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Harman and has not been reviewed or approved by Harman.
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Healthcare Strength — Healthcare coverage is described as comprehensive, often including medical, dental, and vision plans, with HSAs/FSAs and disability or life insurance also referenced. Wellbeing support such as EAP access and onsite occupational health services is also part of the package in some regions.
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Wellbeing & Lifestyle Benefits — Lifestyle-oriented benefits include employee product discounts and region-specific perks like free fruit deliveries, Cycle to Work schemes, and meal coupons or allowances. Flexible schedules and work-from-home options are also part of the overall offering where roles and projects allow.
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Fair & Transparent Compensation — Pay is repeatedly characterized as solid or market-aligned for many roles, with salary payments described as consistent and on time. Compensation is also tied to performance in some accounts, reinforcing a perception of basic fairness for a portion of employees.
Harman Insights
What We Do
Headquartered in Stamford, Connecticut, HARMAN (harman.com) designs and engineers connected products and solutions for automakers, consumers, and enterprises worldwide, including connected car systems, audio and visual products, enterprise automation solutions; and services supporting the Internet of Things. With leading brands including AKG®, Harman Kardon®, Infinity®, JBL®, Lexicon®, Mark Levinson® and Revel®, HARMAN is admired by audiophiles, musicians and the entertainment venues where they perform around the world. More than 50 million automobiles on the road today are equipped with HARMAN audio and connected car systems. Our software services power billions of mobile devices and systems that are connected, integrated and secure across all platforms, from work and home to car and mobile. HARMAN has a workforce of approximately 30,000 people across the Americas, Europe, and Asia. In March 2017, HARMAN became a wholly-owned subsidiary of Samsung Electronics Co., Ltd. HARMAN is an Equal Opportunity, Affirmative Action employer. Minorities, women, veterans and individuals with disabilities are encouraged to apply. HARMAN offers a great work environment, challenging career opportunities, professional training and competitive compensation. Looking for a challenge where your experience is valued? Come see what you can achieve as a leader with HARMAN!
