Computer Vision Engineer
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Job Summary
We are seeking a talented and innovative Computer Vision Engineer to join our AI this role you will design develop and deploy advanced computer vision and deep learning solutions that power intelligent products and applications. You will work closely with data scientists software engineers and product teams to build scalable vision-based systems capable of processing images and video data in real-world environments.
- Design develop and optimize computer vision algorithms for image and video analysis.
- Build and train deep learning models for tasks such as object detection image classification segmentation tracking OCR and facial recognition.
- Develop and maintain data pipelines for collecting processing labeling and validating visual datasets.
- Deploy machine learning models into production environments and optimize inference performance.
- Collaborate with cross-functional teams to translate business requirements into AI-driven solutions.
- Conduct research on emerging computer vision techniques and evaluate new technologies.
- Monitor model performance and continuously improve accuracy reliability and scalability.
- Document solutions experiments and technical processes.
- Bachelors or Masters degree in Computer Science Artificial Intelligence Data Science Electrical Engineering or a related field.
- 1-3 years of experience in computer vision machine learning or deep learning engineering.
- Strong programming skills in Python.
- Hands-on experience with deep learning frameworks such as PyTorch TensorFlow or Keras.
- Strong understanding of computer vision libraries such as OpenCV.
- Experience with image processing feature extraction object detection image segmentation and model optimization.
- Knowledge of machine learning algorithms and neural networks.
- Experience with cloud platforms (AWS Azure or Google Cloud) is a plus.
- Familiarity with SQL Git Docker and CI/CD practices.
- Experience with YOLO Detectron2 MMDetection or similar frameworks.
- Knowledge of MLOps and model deployment strategies.
- Experience working with edge devices and real-time vision systems.
- Understanding of Generative AI and multimodal AI models.
- Strong problem-solving and analytical skills.
- Excellent communication and teamwork abilities.
Required Skills:
Required Skills & Experience: Proven experience as a Solution Architect or similar role across multiple domains Strong expertise in Cloud platforms (AWS Azure or GCP) Experience in Data Architecture Data Engineering and Analytics platforms Knowledge of AI/ML solutions and frameworks Solid background in Software Engineering including microservices architecture and APIs Experience with Digital platforms customer experience solutions or front-end ecosystems Strong understanding of system integration security and scalability Excellent stakeholder management and communication skills
Required Education:
Bachelors or Masters degree in Computer Science Software Engineering Data Science or a related field.
