AI Product Manager

6 years

0 Lacs

Posted:13 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

AI Product Manager 052

Domain:

Machine Learning, Computer Vision, High-Performance Computing

Industry:

Product Engineering, Semiconductor, Hardware Manufacturing

Job Summary

We are seeking a highly experienced

Algorithm Engineering Manager/Lead

to drive innovation in machine learning (ML), deep learning (DL), and computer vision. The role involves leading a team of algorithm engineers, designing scalable algorithmic solutions, and ensuring the efficient deployment of ML/DL frameworks in high-performance and distributed computing environments.Key Responsibilities
  • Lead and mentor a team of algorithm engineers, fostering technical excellence and professional growth.
  • Develop and maintain the infrastructure for deploying and executing algorithms at scale.
  • Collaborate with data scientists, software engineers, and product managers to design robust, scalable algorithmic solutions.
  • Optimize algorithm performance, computing efficiency, and resource utilization.
  • Apply the latest advancements in algorithm engineering, computer vision, ML/DL, and infrastructure technologies to improve systems.
  • Drive continuous improvement in processes, tools, and methodologies.

Must-Have Qualifications & Experience

  • Ph.D. with 6+ years industry experience OR M.Tech/M.E. with 8+ years experience OR B.Tech/B.E. with 10+ years experience.
  • For Individual Contributor (IC) roles: ~14 years of total experience.
  • Minimum 1 year of proven experience as a Manager/Lead.
  • At least 8 years of experience in programming with Python, C++, or CUDA.
  • Minimum 8 years of experience in Machine Learning, Artificial Intelligence, and Deep Learning.
  • 2–3 years of hands-on experience in Image Processing & Computer Vision (mandatory).
  • Background in Product Development, Semiconductor, or Hardware Manufacturing companies is essential.
  • Candidates with consistent tenure (minimum 2 years in each organization) preferred.
Skills: infrastructure,engineers,deep learning,drive,computer vision,manufacturing,ml,computing,learning,machine learning

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