
AI Engineer – Computer Vision
7 days ago
Location: Kolkata
Employment Type: Full-Time
Experience Level: Junior (1 Year)
About the Role
We are seeking a passionate and driven AI Engineer with a strong foundation in Computer Vision to join our growing team. This role is ideal for someone with 1 year of hands-on experience who is eager to apply cutting-edge vision algorithms to real-world problems and contribute to innovative AI-powered solutions.
Key Responsibilities
- Develop and optimize computer vision models for tasks such as object detection, image segmentation, pose estimation, and tracking
- Implement and fine-tune deep learning architectures using frameworks like PyTorch or TensorFlow
- Work with image and video datasets: preprocessing, augmentation, annotation, and evaluation
- Collaborate with cross-functional teams to integrate vision models into production systems
- Conduct experiments, analyze results, and iterate on model performance
- Stay updated with the latest research and trends in computer vision and AI
Required Skills & Qualifications
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field
- 1 year of experience in AI/ML with a focus on computer vision applications
- Proficiency in Python and deep learning libraries (PyTorch, TensorFlow, OpenCV)
- Familiarity with CNNs, transfer learning, and model deployment techniques
- Experience working with datasets like COCO, ImageNet, or custom vision datasets
- Strong problem-solving skills and attention to detail
- Ability to document experiments and communicate findings clearly
Preferred (Nice-to-Have)
- Experience with stereo vision, SLAM, or 3D reconstruction
- Knowledge of edge deployment (e.g., NVIDIA Jetson, ONNX, TensorRT)
- Exposure to camera calibration, geometric transformations, or ArUco markers
- Contributions to open-source projects or published research
What We Offer
- A collaborative and intellectually stimulating environment
- Opportunities to work on impactful projects across industries
- Access to mentorship and career growth pathways
Competitive compensation and flexible work arrangements
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