Qualcomm

Senior ML Engineer - Biometrics

Qualcomm
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1 day ago
Hyderābād, IndiaSenior

Responsibilities

  • Develop machine learning algorithms for fingerprint classification.
  • Develop deep learning models and computer vision solutions for biometric applications.
  • Apply machine learning, computer vision, signal processing, and related disciplines to fingerprint problems.
  • Collaborate with software, hardware, and testing teams.
  • Work effectively with a global development team.

Requirements

  • Bachelor's degree in engineering, information systems, computer science, or a related field with 2+ years of software engineering or related experience; alternatively, a master's degree with 1+ year of experience or a PhD in a related field.
  • At least 2 years of academic or work experience with programming languages such as C, C++, Java, or Python.
  • At least 2 years of hands-on machine learning experience.
  • Full mastery of Python and knowledge of C coding.
  • Experience developing machine learning and deep learning models.
  • Strong communication skills for collaboration with a global development team.
  • A proven innovation record demonstrated through approved patents, publications, or similar accomplishments.
  • Engineering graduation, particularly in electrical engineering, computer science, or mathematics, is preferred.
  • Experience in signal processing or image processing is advantageous.
  • A master's degree is advantageous.

Tech Stack

Categories

Qualcomm

About Qualcomm

10,000+ employees

Qualcomm is a public semiconductor company headquartered in San Diego, founded in 1985, that designs and sells wireless chipsets and platforms for mobile devices, automotive, IoT, and networking, notably the Snapdragon application processors and 5G modems. It also licenses a large portfolio of cellular patents to device makers, generating revenue alongside chip sales; its technology underpins many Android smartphones and emerging automotive and edge-compute systems, and it trades on NASDAQ as QCOM.

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