Lead AI / Computer Vision Engineer

VusionGroup SA • Dallas, TX

105d

About The Position

At VusionGroup, we’re proud to offer innovative products that meet the needs of our customers. To help us continue expanding our offerings, we are seeking a highly skilled Lead AI / Computer Vision Engineer to drive the development, deployment, and optimization of our computer vision solutions. Reporting to the Director of Engineering, you will lead engineering efforts to transform cutting-edge CV models into scalable, production-ready systems. You will work cross-functionally with research, engineering, data, and product teams to build robust pipelines, optimize inference, and deliver high-impact AI solutions in production environments. You will also build a team of Data scientists and AI/ML engineers.

Requirements

• 7+ years of experience in computer vision/AI engineering, with 2+ years in a technical leadership role
• Proven track record of leading cross-functional AI/ML engineering projects to production
• Strong programming skills in Python and experience with PyTorch, TensorFlow, or similar frameworks
• Expertise in modern computer vision techniques (object detection, segmentation, classification, tracking, etc.)
• Experience deploying CV models in real-time, batch, and streaming pipelines
• Proven experience deploying AI/ML models in cloud environments (AWS, Azure, GCP)
• Solid understanding of ML Ops, Docker, Kubernetes, REST APIs, and cloud infrastructure automation
• Experience with model lifecycle management (MLflow, Kubeflow, SageMaker)
• Understanding of vision model evaluation metrics (mAP, IoU, precision/recall, latency, FPS, throughput)
• Excellent problem-solving, architecture design, and mentoring skills
• Ability to collaborate across product, data, research, and engineering teams
• Able to architect and develop high quality Rest API’s

Nice To Haves

• Experience with data privacy and compliance considerations in AI systems

Responsibilities

• Lead the end-to-end engineering of computer vision systems, from prototyping to production deployment
• Translate research prototypes into robust, production-ready systems
• Collaborate with AI researchers to implement state-of-the-art vision algorithms (object detection, tracking, segmentation, OCR, 3D vision, etc.)
• Architect scalable, low-latency pipelines for image processing in production
• Optimize models for inference via quantization, pruning, knowledge distillation, TensorRT, OpenVINO, ONNX, etc.
• Build and maintain data pipelines for large-scale image/video datasets (collection, preprocessing, augmentation, labeling)
• Integrate vision models with cloud infrastructure (AWS, GCP, Azure) and deploy scalable inference APIs or streaming solutions
• Implement model monitoring, drift detection, and automated retraining workflows in production
• Drive best practices for model evaluation, benchmarking, explainability, and validation under real-world conditions
• Mentor engineers and foster a collaborative, high-performance engineering culture
• Stay up-to-date with advances in computer vision and AI, evaluating new tools and techniques for practical adoption

Benefits

• Generous paid time off (PTO): 35 days PTO to enable work/life integration and promotes a culture of trust.
• Health & Wellness: Eligibility for healthcare benefits begin day one, plus retirement savings plans.
• Financial future: While retirement savings plans vary by country, we help you plan for your future.
• Family-First Support: Navigate family challenges with our assistance, securing time for both your loved ones and self-care.
• Hybrid work: Find your balance with two days working from home, three days in the office, plus the freedom to work anywhere for up to two weeks a year.
• Time off to volunteer and give back to your community.
• Career Growth: E-learning opportunities and workshops, and global mobility potential.
• Commute benefits: up to $100/month per employee for commuting expenses.
• Philanthropy: Our company matches employee donations up to $500 per year for causes close to your heart.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Master's degree
• Number of Employees: 11-50 employees