AI Manager

Key Responsibilities

• Lead, mentor, and manage a team of algorithm engineers focused on AI/ML, deep learning, and computer vision solutions
• Architect and maintain scalable infrastructure for deploying algorithms at scale
• Collaborate with cross-functional teams—data scientists, software engineers, and product managers—to build impactful algorithmic solutions
• Optimize algorithms for performance, accuracy, and computational efficiency
• Implement best practices in code reviews, testing, and version control for research-to-production handoff
• Continuously improve development tools, pipelines, and deployment workflows
• Stay up-to-date with advancements in algorithm engineering, HPC, and infrastructure technologies
  

Required Qualifications

Academic:

• Ph.D. in Computer Science, AI/ML, or related field with 6+ years industry experience
• OR M.Tech with 8+ years of experience
• OR B.Tech with 10+ years of experience
• Tier 1 Engineering College background (IIT, NIT, IIIT, VIT) preferred
  

✅ Experience & Skills

• Minimum 3 years in a Managerial Role (must include direct team management; only Lead experience not sufficient)
• 8+ years of hands-on experience in Python, C++, or CUDA
• 8+ years in Machine Learning, Deep Learning, or Artificial Intelligence
• 2–3 years in Computer Vision and Image Processing
• Strong exposure to high-performance computing (HPC), parallel programming, and distributed systems
• Solid understanding of GPU architecture and familiarity with containerization tools like Docker or Apptainer
• Proficient in ML/DL frameworks such as TensorFlow, PyTorch, or Scikit-learn
• Proven ability to scale algorithms for production use
  

Preferred Qualifications

• Experience in semiconductor, manufacturing, or hardware product companies
• Candidates with 8+ CGPA in academics
• International or pan-India candidates willing to relocate to Chennai
• Exposure to DevOps for ML/AI pipelines
  

Must-Haves Summary

Degree + Exp.

Managerial Role

Programming

AI/ML/DL

CV/Image Processing

Company Type

Academic Stability

Target Companies

Preferred Industry Backgrounds:

• Product-based tech companies
• Semiconductor firms (e.g., Intel, AMD, Qualcomm, Micron)
• Electrical/Hardware/Manufacturing product companies
  

Nice To Haves

• Experience in semicon design, firmware, or hardware integration with AI
• Projects using embedded AI, real-time vision systems, or robotics