Senior ML Engineer - Biometrics
Qualcomm Incorporated (company site, opens in a new tab)2+ yrsHyderabadOn-siteDirect career pageEst. 20–40 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Develop machine learning algorithms for fingerprint classification integrating machine learning, computer vision, and signal processing.
- Collaborate across software, hardware, and testing teams to deliver ML solutions in the fingerprint domain.
- Focus on ML development involving deep learning frameworks such as PyTorch, and techniques like Siamese networks and transformer-based models.
Minimum Requirements
- Bachelor's degree in Engineering, Information Systems, Computer Science or related field with 2+ years software engineering or related experience, OR Master's degree with 1+ year experience, OR PhD in relevant fields.
- Minimum 2 years hands-on experience in Machine Learning and proficiency in Python; knowledge of C and C++ programming required.
- Experience with ML tools and libraries such as PyTorch, numpy, OpenCV; domain knowledge in fingerprint biometrics, computer vision, and signal/image processing is advantageous.
- Strong communication skills to collaborate effectively with global development teams; proven innovation via patents or publications preferred.
Ideal Candidate Profile
- Experienced ML engineer with deep specialization in fingerprint biometrics or related computer vision and signal processing domains.
- Developer comfortable delivering production-level ML algorithms and collaborating with cross-functional teams including hardware and testing.
- Proven ability to innovate demonstrated by patents or publications relevant to ML applications in biometrics.