Computer Vision Engineer
SKILLS
FULL DESCRIPTION
Summary
Analyze large image datasets to uncover meaningful patterns and trends. Develop and deploy computer vision models for image recognition and classification. Utilize AI tools to enhance visual data processing and accuracy. Collaborate with engineering teams to integrate computer vision solutions into products. Communicate AI-driven insights to stakeholders effectively.
- Analyze large image datasets to uncover meaningful patterns and trends.
- Develop and deploy computer vision models for image recognition and classification.
- Utilize AI tools to enhance visual data processing and accuracy.
- Collaborate with engineering teams to integrate computer vision solutions into products.
- Communicate AI-driven insights to stakeholders effectively.
- Strong experience in Python, OpenCV, and deep learning frameworks like TensorFlow.
- Solid understanding of computer vision techniques and algorithms.
- Knowledge of big data tools like Hadoop or Spark is a plus.
- Excellent communication and teamwork skills.
- Bachelor’s or Master’s in Computer Science, AI, or related field.
Responsibilities:
Analyze large image datasets to uncover meaningful patterns and trends. Develop and deploy computer vision models for image recognition and classification. Utilize AI tools to enhance visual data processing and accuracy. Collaborate with engineering teams to integrate computer vision solutions into products. Communicate AI-driven insights to stakeholders effectively.
Requirements:
Strong experience in Python, OpenCV, and deep learning frameworks like TensorFlow. Solid understanding of computer vision techniques and algorithms. Knowledge of big data tools like Hadoop or Spark is a plus. Excellent communication and teamwork skills. Bachelor’s or Master’s in Computer Science, AI, or related field.