Computer Vision Solutions Leader (NVIDIA Focus)

Location: USA; work arrangement: remote or office

Company

hirify.global is a digital consultancy delivering enterprise technology and AI solutions.

What you will do

• Lead end-to-end computer vision and AI engagements from discovery and solution architecture through implementation and value realization.
• Translate business challenges into scalable AI roadmaps, enterprise architectures, and industry-focused solutions.
• Advise executive stakeholders and demonstrate measurable business impact from AI adoption.
• Manage scope, timelines, budgets, risks, governance, and delivery quality across multiple initiatives.
• Coordinate engineering, data science, product, NVIDIA, and business development stakeholders.
• Shape NVIDIA alliance offerings, pre-sales activities, reusable accelerators, thought leadership, and AI architecture standards.

Requirements

• 6+ years of experience in computer vision, machine learning, deep learning, or AI solution delivery.
• Expertise in multimodal AI, generative AI, transformers, diffusion models, and vision-language models.
• Hands-on experience with Python, PyTorch, Pandas, NumPy, and cloud-based AI toolsets.
• Experience across the AI model lifecycle, including experimentation, optimization, deployment, and inference.
• Experience with GPU-accelerated technologies such as DeepStream, TensorRT, Triton Inference Server, ONNX, or TAO Toolkit.
• Experience with cloud and enterprise environments including AWS, Azure, GCP, Kubernetes, OpenShift, or hybrid infrastructures.

Nice to have

• Familiarity with NVIDIA AI technologies such as NeMo, Riva, TensorRT, Triton, and Metropolis.
• Strong understanding of classical computer vision, camera calibration, feature matching, homography estimation, and image or video analytics.
• Bachelor’s degree in Computer Science, Applied Mathematics, Physics, or a related technical field.

Culture & Benefits

• Leadership responsibility across people development, change management, and sustainable results.
• Business leadership focused on anticipating client needs, delivering value-driven solutions, and supporting growth and profitability.
• Opportunities to work with engineering, data science, product, NVIDIA, and executive stakeholders.
• Remote or office work arrangement.