Lead AI / Computer Vision Engineer
Lead AI / Computer Vision Engineer
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1 Vacancy
Job Description
We build. We create impact.
At VusionGroup were 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 were 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 APIs.
- Education:
- Masters 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 youll 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 commercetogether.
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.
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Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
