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AI System Leader - Vision AI & NVIDIA Systems

Job in Germany, Pike County, Ohio, USA
Listing for: HCLTech Germany
Full Time position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: Germany

We are HCLTech, one of the fastest-growing large tech companies in the world and home to 225,000+ people across 60 countries, supercharging progress through industry-leading capabilities centered around Digital, Engineering and Cloud. Our people are diverse, creative, and passionate, raising the bar for excellence every day. If this sounds like an environment where you’ll thrive, join us on our journey to advance the technological world through innovation and creativity.

Key Responsibilities
  • Lead the architecture and deployment of large‑scale, vision‑based AI systems across edge and cloud
  • Design scalable video analytics pipelines leveraging NVIDIA Deep Stream, Tensor

    RT, Triton
  • Drive distributed AI training, deployment, and continuous learning systems
  • Optimize models for real‑time performance on Jetson Orin/Xavier and similar platform
  • Collaborate with global research, product, and engineering teams to deliver business impact
  • Define strategy for edge vs. cloud trade‑offs in AI platform design
  • Mentor senior engineers, set best practices in MLOps, observability, and reliability
  • Engage directly with CIOs, CTOs, and senior stakeholders on AI transformation strategy
  • Stay ahead of emerging AI technologies (e.g., Vision Transformers, NeRF, Diffusion Models)
Requirements
  • 10+ years of experience in AI/ML/Computer Vision, with 8+ years in technical leadership roles
  • Strong hands‑on expertise with NVIDIA ecosystem:
    Jetson, Deep Stream, Tensor

    RT, Triton, CUDA
  • Proficiency in PyTorch, Tensor Flow, OpenCV, GStreamer
  • Solid coding in Python, C++ and CUDA for AI model development
  • Proven track record of deploying AI solutions at scale (1,000+ devices or multi‑GPU clusters)
  • Cloud‑native ML experience (Docker, Kubernetes, MLflow, CI/CD)
  • Strategic communication skills with the ability to influence global stakeholders
  • Advanced degree (MS/PhD) in Computer Vision, ML, Robotics, or related field (preferred)
  • Domain expertise in Smart Cities, Robotics, Healthcare, or Retail Analytics (a plus)
  • Certifications such as NVIDIA Jetson Developer or AWS/GCP AI/ML are advantageous
Seniority level
  • Mid-Senior level
Employment type
  • Full‑time
Job function
  • Information Technology
Industries
  • IT Services and IT Consulting

We promote equal opportunities for all employees, regardless of their cultural and social background, gender, disability, age, religion, beliefs, and sexual identity. We give priority consideration to severely disabled applicants and those of equal status in the case of equal suitability.

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