
Scientist - Machine Learning
1 week ago
**Scientist - Machine Learning**:
**At ABB, we are dedicated to addressing global challenges. Our core values: care, courage, curiosity, and collaboration - combined with a focus on diversity, inclusion, and equal opportunities - are key drivers in our aim to empower everyone to create sustainable solutions. Write the next chapter of your ABB story.**:
**This position reports to**:
Research Department Manager
**Your role and responsibilities**:
**Qualifications for the role**:
- Ph.D. in a topic related to AI/ML in engineering from a reputed University with a good publication record and with a minimum of two years of relevant industrial research or post-doctoral experience.
- Proficiency in one or more programming languages and corresponding ML frameworks and libraries for interacting with industrial data.
- Good knowledge of supervised, unsupervised, semi-supervised, reinforcement learning techniques, time-series analysis, signal processing and related areas.
- Exposure to design, implementation and deployment of industrial machine learning systems with MLOps and efficient use of GPUs is preferred.
- Should have ability to collaborate and communicate effectively in English with internal and external partners including academic community.
**More about us**:
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Bengaluru, Karnataka, India ADCI - Karnataka Full timeMaster's degree, or PhD - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Python, Java, C++ or related language - Experience in any of the following areas: algorithms and data structures, deep learning, parsing,...
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Bengaluru, Karnataka, India ADCI - Karnataka Full timeMaster's degree and 2+ years of CS, CE, ML or related field experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel...
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