Lead AI / Computer Vision Engineer
Coppell, TX, United States
VusionGroup SA
Learn how VusionGroup digitalizes your physical store with sustainable technologies to improve business performance through retail IoT and analytics.Company Description
Lead AI CV Engineer
Are you ready to develop the future of retail?Ā
As the worldās leader in IoT and data technologies for commerce, our mission is to help retailers and brands use digitalization to become more efficient, more intelligent, and more sustainableāand in doing so, enable more positive commerce.Ā
VusionGroupĀ is a fast-growing, fast-paced retail tech company. We believe that by thinking big and working together as one teamāagile thinkers, tech makers, and change agentsāwe can build the largest retail IoT platform in the world.Ā Ā
Job Description
We build. We create impact.āÆĀ
At VusionGroup, weāre 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 , AI/ML engineers.
- 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
Qualifications
Qualifications we're looking for.Ā
- Experience:Ā
- 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
- Skills:Ā
- 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
- Abilities:Ā
- Ability to collaborate across product, data, research, and engineering teams
- Able to architect and develop high quality Rest APIās.
- Education:
- Masterās, or PhD in Computer Science, Electrical Engineering, Applied Math, or a related field is preferred.Ā
Preferred Qualifications:
- Experience with data privacy and compliance considerations in AI systems
We innovate. We help communities thrive.Ā
VusionGroup has an international presence in 19 countries. In joining us, youāll be part of a globally distributed team of intellectually curious, committed, and collaborative co-workers.Ā Ā
The work is fast paced, challenging, and ambitious. Here, you will feel valued for your contributions as we reinvent modern commerceātogether.Ā Ā
We feel supported. You will too.Ā Ā
VusionGroup is a place where people feel safe, happy, and respected. We offer programs and benefits to support you in whatever comes next in your life, including:Ā
- Generous paid time off (PTO):Ā 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 potentialĀ Ā
- 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.Ā
Additional Information
All your information will be kept confidential according to EEO guidelines.
#LI-HYBRID
* Salary range is an estimate based on our AI, ML, Data Science Salary Index š°
Tags: Agile APIs Architecture AWS Azure Classification Computer Science Computer Vision Data pipelines Docker Engineering GCP Kubeflow Kubernetes Machine Learning Mathematics MLFlow ML models OCR ONNX PhD Pipelines Privacy Prototyping Python PyTorch Research REST API SageMaker Streaming TensorFlow TensorRT
Perks/benefits: Career development Health care Startup environment Wellness
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.