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Engineering Manager - AI

Expectations and Tasks

We are seeking an experienced AI Engineering Manager to lead our AI projects and drive innovation in deep learning applications. The ideal candidate will have a strong background in the latest deep learning architectures, including Convolutional Neural Networks (CNNs) and Transformers, and possess project management experience in overseeing AI initiatives.

Job duties will include

  • Lead the design, development, and deployment of AI solutions, ensuring alignment with organizational goals.
  • Manage AI projects from inception to completion, coordinating cross-functional teams and resources effectively.
  • Oversee the implementation of deep learning algorithms for various applications, particularly in medical image analysis.
  • Mentor and guide team members, fostering a collaborative and innovative work environment.
  • Ensure high-quality code development in Python, C, or C++, with a strong understanding of object-oriented programming concepts.

Education and Qualifications

  • PhD / M. Tech. / M.E. / M.C.A. (preferably from CSE / IT / ECE / EE background)
  • B. Tech. / B.E. with exceptional academic/professional background
  • 10 plus years of industry experience
  • Proven experience in managing AI projects and teams.
  • Strong knowledge of deep learning architectures such as CNNs and Transformers.
  • Prior experience in the medical image analysis field is preferred.
  • Proficiency in programming languages including Python, C, and C++.
  • Experience in people management and team leadership.
  • Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch).
  • Excellent communication skills and the ability to work collaboratively across teams.
  • Candidates with publications in conferences such as ICCV, ICPR, ICIP, ISBI, MICCAI, MIDL, NeurIPS, and CVPR are preferred.

Job Segment

Design, Development and Deployment, Computer Vision, Deep Learning, Image Processing, AI Projects Management

Job Location

Thane, Maharashtra

Employment Type

Regular Full Time

Expected Travel

0-25%

 

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