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VusionGroup

Lead AI / Computer Vision Engineer

VusionGroup, Coppell, Texas, United States, 75019

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Get AI-powered advice on this job and more exclusive features. Are you ready to develop the future of retail?

As the world’s 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 sustainable—and in doing so, enable more positive commerce.

VusionGroup is a fast-growing, fast-paced retail tech company. We believe that by thinking big and working together as one team—agile thinkers, tech makers, and change agents—we can build the largest retail IoT platform in the world.

Lead AI CV Engineer

Are you ready to develop the future of retail?

As the world’s 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 sustainable—and in doing so, enable more positive commerce.

VusionGroup is a fast-growing, fast-paced retail tech company. We believe that by thinking big and working together as one team—agile thinkers, tech makers, and change agents—we can build the largest retail IoT platform in the world.

Job Description

We build. We create impact.

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 , 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.

Experience:

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:

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:

Ability to collaborate across product, data, research, and engineering teams Able to architect and develop high quality Rest API’s.

Education:

Master’s, or PhD in Computer Science, Electrical Engineering, Applied Math, or a related field is preferred.

Preferred Qualifications:

Experience with data privacy and compliance considerations in AI systems We innovate. We help communities thrive.

VusionGroup has an international presence in 19 countries. In joining us, you’ll be part of a globally distributed team of intellectually curious, committed, and collaborative co-workers.

The work is fast paced, challenging, and ambitious. Here, you will feel valued for your contributions as we reinvent modern commerce—together.

We feel supported. You will too.

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:

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.

Additional Information

All your information will be kept confidential according to EEO guidelines.

Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

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