Overview
Job Summary:
We are seeking a passionate and skilled AI Engineer with hands-on experience in computer vision to join our team. The ideal candidate should have a strong foundation in deep learning, particularly in Convolutional Neural Networks (CNNs), object detection using YOLO (You Only Look Once), and familiarity with Vision-Language Models (Vision LLMs). You will be responsible for developing and deploying AI models for real-world vision-based applications.
Key Responsibilities:
- Design, develop, and optimize computer vision models for tasks such as object detection, image classification, and segmentation.
- Implement and fine-tune YOLO-based object detection frameworks (YOLOv5, YOLOv7, YOLOv8, etc.).
- Apply Vision LLMs (e.g., CLIP, BLIP, GPT-4V, Gemini) for multi-modal tasks involving text-image interactions.
- Collaborate with cross-functional teams to integrate AI models into production systems.
- Work on data preprocessing, augmentation, and annotation for vision datasets.
- Evaluate and improve model accuracy, speed, and robustness.
- Document project workflows, model performance, and technical findings.
Required Skills & Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or related field.
- 2–3 years of hands-on experience in computer vision projects.
- Proficient in Python and deep learning libraries such as PyTorch or TensorFlow.
- Strong understanding of CNN architectures and transfer learning.
- Practical experience in using YOLO for object detection tasks.
- Familiarity with Vision LLMs and prompt-based visual tasks (CLIP, BLIP, etc.).
- Experience with OpenCV and image/video processing techniques.
- Good problem-solving and analytical skills.
Preferred Qualifications:
- Experience with deployment of models using ONNX, TensorRT, or similar.
- Knowledge of version control tools like Git.Familiarity with cloud-based AI services (AWS).
- Prior work on real-world/commercial AI products or research prototypes.
What We Offer:
- Opportunity to work on cutting-edge AI projects.
- Collaborative and growth-oriented work environment.
- Access to training resources and mentorship.
Job Type: Full-time
Pay: Up to ₹700,000.00 per year
Supplemental Pay:
- Performance bonus
Work Location: In person