Subject Matter Expert – Computer Vision -Remote

Please note, this role is not able to offer visa transfer or sponsorship now or in the future

Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant, a member of the NASDAQ-100, is ranked 195 on the Fortune 500 and is consistently listed among the most admired companies in the world.

Learn how Cognizant helps clients lead with digital at

Intelligent, IoT-enabled products will soon result in the proliferation of data and disrupt virtually all industries. To be successful, both large and small companies must leverage IoT capabilities by designing modern products that fundamentally connect people with processes. Within Cognizant IOT, we engineer industry-aligned, IoT-enabled products that merge industry needs with human drivers. Our intelligent products will revolutionize experiences and result in exciting, transformative outcomes.

Without human-centered thinking, connected products are just standalone things—but with it, our modern connected products facilitate a unified way of life enjoyed by all.

We are seeking an experienced Computer Vision Subject Matter Expert (SME) to lead the design and implementation of advanced vision solutions that enhance automation, safety, and operational efficiency across retail, warehouses, distribution centers, fulfillment centers, and manufacturing plants.

This role demands deep technical expertise in vision systems, edge computing, and cloud integration, combined with leadership and communication skills to drive enterprise-scale deployments.

• Solution Architecture:
  Define and implement scalable vision architectures for multi-site environments, ensuring reliability and performance.
• Computer Vision Development:
  Build and optimize algorithms for object detection, tracking, anomaly detection, and quality assurance using frameworks like OpenCV, Tensor Flow, and PyTorch.
• Edge & Cloud Integration:
  Deploy vision models on resource-constrained devices and integrate with AWS, Azure, or GCP for centralized analytics and reporting.
• Performance Optimization:
  Ensure low-latency inference, efficient resource utilization, and robust failover mechanisms for production systems.
• Governance & Standards:
  Establish best practices for security, compliance, and data management in vision deployments.
• Cross-Functional Collaboration:
  
  Work closely with operations, engineering, and business teams to align vision solutions with organizational goals.

• Computer Vision:
  Object detection, segmentation, tracking;
  OpenCV, Tensor Flow, PyTorch.
• Edge AI: NVIDIA Jetson, Intel Movidius; model optimization (Tensor
  
  RT, quantization).
• Cloud Platforms: AWS, Azure, or GCP for data processing and analytics.
• Programming:
  Python, C++, containerization (Docker/Kubernetes).
• Security & Compliance:
  Secure deployments, certificate management, and data privacy standards.

• Communication:
  Ability to convey complex technical concepts to diverse stakeholders.
• Ownership & Accountability:
  Drive end-to-end delivery of vision solutions.
• Collaboration:
  
  Partner effectively with cross-functional teams.
• Problem-Solving:
  Analytical mindset for troubleshooting and optimization.
• Leadership:
  Mentor teams and influence technology decisions.

• Experience with industrial automation and quality control systems.
• Familiarity with large-scale deployments in retail or manufacturing environments.
• Knowledge of regulatory compliance for video and image data.

• Bachelor’s/Master’s in Computer Science, Electrical Engineering, or related field.
• 10+ years in Computer Vision with 3+ years in enterprise-scale deployments.
• Proven track record in designing and delivering production‑grade vision systems.

• Improved operational efficiency and automation across sites.
• High system uptime and performance consistency.
• Compliance with security and privacy standards.