Computer Vision Expert- Freelance Interviewer

Experience: 10 to 20 years

About the company

We are an HR Tech company based in Trivandrum, offering hiring support to MNCs across India through interviews, assessments and recruitment services. We have a network of 4000+ experienced professionals who take interviews in their available time slots.

We’re looking for experienced professionals across various domains who can take up freelance interviews for our clients. Interviews are conducted remotely, and schedules are flexible based on your availability. And currently we are looking at panels for the given description.

Job Description

Roles & Responsibilities

• Strong expertise in Computer Vision: Experience with Face Detection, Object Detection, Object Counting, Tracking, and Pose Estimation on CCTV or similar video data.
• Proficiency with Deep Learning frameworks: Hands-on experience with TensorFlow, PyTorch, or Keras for developing and training computer vision models.
• Experience with Object Detection models: Familiarity with models like YOLO, SSD, Faster R-CNN, and knowledge of real-time detection.
• Object Tracking algorithms: Knowledge of multi-object tracking (MOT) algorithms and experience in tracking moving objects in video footage.
• Pose Estimation: Familiarity with techniques like OpenPose or MediaPipe for detecting human posture and activities in video streams.
• Image Processing & Enhancement: Solid understanding of image processing techniques (e.g., filtering, edge detection, transformation, enhancement) using OpenCV or similar tools.
• Machine Learning & AI Fundamentals: Strong knowledge of classical machine learning algorithms and how they integrate with deep learning for model improvement.
• Generative AI: Exposure to generative models like GANs, diffusion models, or similar, and their potential application in Computer Vision.
• Programming Skills: Proficiency in Python, with experience in relevant libraries like NumPy, Pandas, and Scikit-learn.
• Experience with Cloud Services: Knowledge of cloud platforms like AWS or Azure for deploying models in a production environment.
• Strong Analytical and Problem-Solving Skills: Ability to troubleshoot complex algorithms and optimize performance for real-time use cases.
• Familiarity with MLOps: Understanding of CI/CD pipelines, model versioning, and deployment best practices in an ML context.
• Collaboration & Communication: Ability to work effectively within a team, collaborate with different departments, and communicate technical results to non-technical stakeholders.