ML Ops Engineer

HARMAN’s engineers and designers are creative, purposeful and agile. As part of this team, you’ll combine your technical expertise with innovative ideas to help drive cutting-edge solutions in the car, enterprise and connected ecosystem. Every day, you will push the boundaries of creative design, and HARMAN is committed to providing you with the opportunities, innovative technologies and resources to build a successful career.

A Career at HARMAN

As a technology leader that is rapidly on the move, HARMAN is filled with people who are focused on making life better. Innovation, inclusivity and teamwork are a part of our DNA. When you add that to the challenges we take on and solve together, you’ll discover that at HARMAN you can grow, make a difference and be proud of the work you do everyday.

What You Will Do:

• Design and develop highly scalable machine learning infrastructure to support high throughput and low latency,
• Serve ML models to downstream applications, ensuring that they are accessible, scalable, and secure,
• Manage model versions and ensure that the correct version is served to clients. Implement a rollback mechanism in case of issues with the current model version,
• Implement monitoring and observability tools to track the performance, health, and usage of the platform and its components. Monitor the performance of the deployed models, addressing issues such as concept drift, data drift, and model degradation over time. Identify and resolve issues promptly, ensuring that the system remains stable and responsive,
• Develop, test, deploy, and maintain data and model training pipelines to support our customer's ML products,
• Integrate the serving infrastructure with other systems, such as data pipelines, monitoring tools, and alerting systems. Ensure seamless communication and coordination among these systems,
• Constantly review and optimize the ML serving system. Strive to improve efficiency, reliability, and speed, looking for opportunities to simplify and automate tasks while maintaining high standards of quality,
• Research the latest machine learning serving technologies (e.g., model compilers, GPU deployment, and inference as a service), and keep up-to-date with industry trends and developments,
• Experiment with new scalable machine learning serving architectures tailored to our environment and create quick prototypes / proof-of-concepts,
• Streamline model deployment, unit testing, integration testing, stress testing and shadow testing,
• Enhance the online A/B testing framework,
• Work with ML engineers to deploy and serve production-grade, state-of-the-art machine learning models at scale,
• Depending of your skills and experience you will have a chance to technically lead people.

What You Need:

• Degree in Computer Science or related fields,
• At least 2 years of proven industry experience in microservices,
• Experience with Infrastructure as Code (Terraform), cloud solutions and orchestration tools (e.g.: AWS, Sagemaker, Airflow, AWS Step/Lambda),
• Familiarity with CI/CD (e.g.: Github Actions), ETL, big data tools, and mainstream ML libraries (e.g., MapReduce, Spark, Flink, Kafka, Unix/Linux with shell, Docker, Kubernetes, TensorFlow, PyTorch, Spark ML, etc.),
• Experience working with real time monitoring/alerting components (e.g., Prometheus/ Grafana),
• Experience in Python, Go or other OOP languages,
• Experience with distributed cache systems, e.g., Redis/Aerospike.

What is Nice to Have:

• At least 5 years of industry experience in low latency, high throughput distributed microservices and integration e.g. WS/REST,
• Extensive experience with system architecture design for machine learning,
• Knowledge on testing frameworks for online A/B testing, canary, blue-green deployment,
• Knowledge about ML serving technologies, such as Seldon, Triton, ONNX, ONCL, TensorRT,
• Experience with the advertising industry, recommendation systems or real-time bidding (RTB) ecosystem.

What We Offer:

• Work in international project team with the biggest worldwide automotive customers,
• Training on the job and technical trainings,
• Further development opportunity.
• A great package of additional benefits such as:
  • flexible working time,
  • private healthcare (LuxMed),
  • Mybenefit cafeteria,
  • Language learning platform- eTutor,
  • employee discounts on HARMAN products (JBL),
  • game room,
  • additional days off,
  • and much more…

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.