Machine Learning Engineer Expert
- SAP
- 15 - 20 years
- Bengaluru
- 3 months ago
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Job Description
Technical competencies.
- Technical languages: a minimum of 15+ years of hands-on experience in Java, Spring Boot, Kafka, SAP HANA, Redis, SAP BTP, and the Playwright test framework.
- Strong conceptual clarity of OOPs.
- Component architecture: The great responsibility (comes with accountability) of architecting a piece of code that runs across all SAP systems for millions of users.
- The candidate should be very strong in the architecture concepts, architecture diagrams and SAP s terminologies.
- Coding and Debugging: Write clean, efficient, well-documented code, and actively participate in debugging and troubleshooting activities with the ownership mindset .
- Reviewing the peer's code: it is not just your code that breaks the application, but any crazy piece! You will have ownership of the scrum team s code review.
- Software Development Lifecycle: Contribute to software solutions' development, testing, and deployment under the guidance and mentorship of experienced agile engineers.
- Participate and contribute to the design and architecture of your component.
- Participate in the code reviews.
- Own your deliverable: involvement in all agile phases to bring life to your code including testing.
- Performance aspects: The scale comes with the responsibility.
- The Joule adoption has made us consider performance as the core ingredient for our production release.
- So this role will also focus on the performance aspects of Joule and would be the technical owner of the topic.
- Right Mindset .
- Team first attitude.
- Ensure we win together as a team.
- Work together with other scrum team developers, cross-functional and locational teams or cross lines of business.
- Remember you are building a solution for the entire suite of SAP applications.
- Processes are proven ways to meet the destination.
- Be serious about the Agile methodologies and live with it.
- Challenge the status quo.
- Always challenge the status quo.
- Always unlearn, relearn.
- Remember you will be working on cutting-edge technologies every day you see a revolution.
The innovation mindset
Utilize the hype around Gen AI, Business AI and Joule. You will be in the best place to work on cutting-edge technologies where things are rapidly evolving every day. Ensure you ride in the waves. Bring new ideas, concepts and prototypes in the cutting-edge technologies alignment with the strategy.
Job Classification
Industry: Software ProductFunctional Area / Department: Data Science & Analytics, Role Category: Data Science & Machine LearningRole: Machine Learning EngineerEmployement Type: Full timeContact Details:
Company: SAPLocation(s): Bengaluru+ View Contact
Keyskills: Coding Debugging Machine learning Agile Software development life cycle Scrum Natural language processing Troubleshooting Analytics Business operations
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