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Machine Learning DevOps Engineer
Company Description
Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology – with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch. At Bosch, we develop, examine and enhance new systems, components and technologies. Our aim is simple – improving lives.
About project and team: You will have a chance to work on our code name “TOP98 Project”. It is 1 of 100 innovation projects that happen in our company that aims to place our company as AIoT market leader. You will be part of a global team of 20+ top-class engineers. Together with the engineering team, you will try to innovate and push a product to production and test it. Since it project is confidential more details you will find out if you apply ?
About team in Serbia: We are part of Global Corporate IT Delivery division. On our location in Serbia we are constantly growing and supporting Bosch in AIoT development and digital transformation. At this moment we have around 80 software engineers of different profiles. If you decided to join us, you will have a chance to work on new and exciting project in years to come. Key value of Bosch and our team is work-life balance and we strive to offer opportunity, responsibility, and perspective in terms of career development.
Job Description
► Be responsible for deploying and operating containerized applications for innovative ML projects using modern technologies in the area of DevOps and MLOps
► Monitor and report the state of applications and services on the runtime environment
► Implement tests to validate and verify your implementation
► Support the team in provisioning and setting up relevant cloud infrastructure and cloud services
► Contribute technical expertise to the team with the development of APIs and machine learning services
► Assist in the evaluation, requirements gathering, time estimation, and planning of software projects using agile methods
► Propose architectural design and technology decision
► Follows standards and industry best practices with regard to the design, implementation, and especially maintenance of software applications
► Support fellow engineers through peer code reviews and constructive discussions that concern architecture, data model, and feature implementation decision
► Provide and receive meaningful feedback from the group to ensure the extensibility and reusability of the code
► Ship well-tested, secure, reliable, and maintainable code within committed timelines that delights product user
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Qualifications
► Experience in developing and operating machine learning (ML) applications in productive environments using state of the art technologies (e.g., Kubeflow, MLflow)
► Proficiency with Python and machine learning frameworks
► Proficiency with web APIs development and design (e.g., REST)
► Proficiency with database technologies (e.g., SQL server, MongoDB)
► Experience with Docker and Kubernetes
► Experience with cloud technologies on Azure or AWS
► Bachelor's degree in Computer Science or equivalent
► 5+ years of software development experience; 2+ years as full stack developer
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Create and maintain Vehicle Data (vehicle-/engine types, production country, etc.) in Marketing Data Warehouse Expert System (FAS) based on SAP ►Collect and maintain information about the specific vehicle manufacturer's products used in vehicles (original equipment) ►Allocate Bosch products to original equipment part numbers and vehicles based on cross reference data
►Constantly optimize Marketing Data Warehouse System ►Constantly check and maintain data quality level of the Marketing Data Warehouse Syste
Create and maintain Vehicle Data (vehicle-/engine types, production country, etc.) in Marketing Data Warehouse Expert System (FAS) based on SAP ►Collect and maintain information about the specific vehicle manufacturer's products used in vehicles (original equipment) ►Allocate Bosch products to original equipment part numbers and vehicles based on cross reference data
►Constantly optimize Marketing Data Warehouse System ►Constantly check and maintain data quality level of the Marketing Data Warehouse Syste
Additional Information
Be part of the Bosch community | Self-development opportunities using training or conference formats suitable to you | International environment | Flexible worktime options | Canteen | Inspiring working conditions
Make it happen.
If you believe you are the right candidate, please send your CV in English using Apply button. Only shortlisted candidates will be contacted. www.bosch.rs/karijera
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