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ML Ops Engineer @ HARMAN Connected Services in HARMAN Connected Services

Posted more than 30 days ago

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HARMAN Connected Services

HARMAN Connected Services

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Without experience
Full-time work
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… Degree in Computer Science or related fields, At least 2 years of proven industry ex

  • 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…
  • 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.

    • 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…
    ,[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.]

    Requirements: Python, Data science, Machine Learning, Cloud, AWS, scikit-learn, pandas, TensorFlow, PyTorch, Airflow, Amazon EMR, PySpark, SQL, NoSQL, Snowflake, GitHub Actions, Microservices, Linux , Docker, Kubernetes, PhD
    Additionally: Private healthcare, Flexible working hours, Discounts, Mybenefit cafeteria, Language learning platform- eTutor, Employee discounts on Harman products- JBL, Life and travel insurance, Refferal bonus, Company events, Free coffee, Bike parking, Free beverages, Modern office, Startup atmosphere, Game room, No dress code.

Without experience
Full-time work
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