Machine Learning Engineer (C++, ML/DL)
- Siemens
- 4 - 9 years
- Bengaluru
- 6 days ago
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Job Description
- Contribute across the SDLC life cycle , analysis, Design, productization/implementation of machine learning/AI algorithms, including model re-training, evaluation, productization, deployment, and monitoring etc.
- Work closely with research teams to translate Proof of Concept (PoCs) into robust, maintainable, and production-ready AI algorithm implementations .
- Implement PoCs using emerging technologies e.g. Agentic AI to improve MLOps Efficiency
- Drive key non-functional requirements such as latency/throughput, memory footprint, reliability, logging/traceability, and edge/cloud deployment constraints.
- Build and maintain CI/CD pipelines for automated builds, test execution, quality gates, and release-ready packaging of code and model artifacts.
- Deliver enhancements and defect fixes in line with coding standards, architecture guidelines, and committed timelines .
- Implement requirement-driven unit, component, and end-to-end pipeline tests to ensure correctness and prevent regression.
- Participate in design and code reviews, providing technical feedback to improve quality, consistency, and maintainability .
- B.E./B.Tech/M.Tech (Computer Science, Electronics) / MCA
- 4+ years of experience in software design and development
- Strong knowledge of C++ and Python , with solid object-oriented programming skills
- Experience in AI algorithm development (ML/DL)
- Strong understanding of image processing
- Ability to learn new technologies quickly and adapt to changing needs
- Strong problem-solving and debugging skills
- Good interpersonal and communication skills
- Strong team player with the ability to work independently with minimal guidance and self-driven exploration
- Experience working with DICOM imaging data and related workflows.
- Working knowledge of medical imaging and vision libraries such as ITK, Intel IPP, and OpenCV
- Hands-on experience with one or more ML/DL frameworks (e.g., PyTorch, TensorFlow)
- Experience in using analytics/MLOps platforms such as Databricks or Azure ML Studio
- Basic understanding of local LLM deployment and/or integration of Azure OpenAI APIs into applications
- Expertise in CMake for creating maintainable, cross-platform build systems.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Machine Learning EngineerEmployement Type: Full timeContact Details:
Company: SiemensLocation(s): Bengaluru
Keyskills: machine learning mlops python c ai databricks llm healthcare analytics tensorflow data science product management regression azure ml product development pytorch debugging sdlc opencv programming ml architecture azure
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Siemens Healthineers is a leading medtech company with over 125 years of experience. We pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably. Our portfolio, spanning in vitro and in vivo diagnostics to image-guided therapy and cancer care, is crucial for clinical decision-makin...
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