Computer Vison Architect
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Job Summary (List Format) Computer Vision Architect
- Lead the design and development of advanced computer vision systems for intelligent automation perception and decision-making.
- Define the technical vision and architecture for scalable production-ready vision solutions.
- Architect and implement frameworks model architectures and data pipelines for image video and 3D data analysis.
- Evaluate and integrate state-of-the-art deep learning models (e.g. CNNs Vision Transformers GANs) for detection classification segmentation and tracking tasks.
- Collaborate with cross-functional teams (ML engineers data scientists product managers) to translate business needs into technical deliverables.
- Guide performance optimization model compression and model deployment on edge and cloud platforms.
- Continuously assess and adopt emerging technologies tools and frameworks to enhance system accuracy speed and robustness.
- Oversee data pipeline architecture distributed training and MLOps practices.
- Ensure robust deployment using CI/CD containerization (Docker Kubernetes) and microservices architecture.
- Mentor and guide technical teams in best practices and innovative solutions.
- Stay current with advancements in computer vision AI and related fields.
Ideal Candidate Profile:
- Advanced degree (Masters/PhD) in Computer Science Electrical Engineering or related field preferred.
- Strong expertise in computer vision deep learning and AI system architecture.
- Proficient in Python C and major frameworks (TensorFlow PyTorch OpenCV ONNX TensorRT).
- Experience deploying vision models to edge devices and cloud services.
- Skilled in data pipeline architecture model optimization and distributed systems.
- Familiar with MLOps CI/CD Docker Kubernetes and microservices.
- (Nice-to-have): Experience with multimodal learning robotics perception digital twins or generative AI; contributions to open-source or published research.
Why Join:
- Architect next-generation vision-based AI systems.
- Work with a passionate research-driven team using cutting-edge technology.
- Competitive compensation and flexible work environment.
- Lead the design and development of advanced computer vision systems for intelligent automation perception and decision-making.
- Define the technical vision and architecture for scalable production-ready vision solutions.
- Architect and implement frameworks model architectures and data pipelines for image video and 3D data analysis.
- Evaluate and integrate state-of-the-art deep learning models (e.g. CNNs Vision Transformers GANs) for detection classification segmentation and tracking tasks.
- Collaborate with cross-functional teams (ML engineers data scientists product managers) to translate business needs into technical deliverables.
- Guide performance optimization model compression and model deployment on edge and cloud platforms.
- Continuously assess and adopt emerging technologies tools and frameworks to enhance system accuracy speed and robustness.
- Oversee data pipeline architecture distributed training and MLOps practices.
- Ensure robust deployment using CI/CD containerization (Docker Kubernetes) and microservices architecture.
- Mentor and guide technical teams in best practices and innovative solutions.
- Stay current with advancements in computer vision AI and related fields.
Ideal Candidate Profile:
- Advanced degree (Masters/PhD) in Computer Science Electrical Engineering or related field preferred.
- Strong expertise in computer vision deep learning and AI system architecture.
- Proficient in Python C and major frameworks (TensorFlow PyTorch OpenCV ONNX TensorRT).
- Experience deploying vision models to edge devices and cloud services.
- Skilled in data pipeline architecture model optimization and distributed systems.
- Familiar with MLOps CI/CD Docker Kubernetes and microservices.
- (Nice-to-have): Experience with multimodal learning robotics perception digital twins or generative AI; contributions to open-source or published research.
Why Join:
- Architect next-generation vision-based AI systems.
- Work with a passionate research-driven team using cutting-edge technology.
- Competitive compensation and flexible work environment.
Key Skills
- APIs
- Pegasystems
- Spring
- SOAP
- .NET
- Hybris
- Solution Architecture
- Service-Oriented Architecture
- Adobe Experience Manager
- J2EE
- Java
- Oracle
