Were hiring someone with real computer vision experience detection, segmentation, tracking, pose who can run experiments end to end and ship models into working systems.

Full-time or long-term contract (3–6 months).

What you’ll work on

- Image and video understanding
- Object detection, segmentation, keypoint detection, pose estimation, and tracking
- Temporal analysis of actions and multi-step processes
- Multimodal learning using visual, sensor, and time-series data
- Failure detection, confidence estimation, and automated verification
- Data collection, annotation, training, and evaluation pipelines
- Integrating trained models into larger software systems

You’ll review research, set baselines, compare model families, dig into failures, and recommend the practical path.

What we’re looking for

- Strong Python and PyTorch
- Solid modern computer vision and deep-learning architecture chops
- Hands-on work with image or video datasets
- Experience in detection, segmentation,



tracking, pose estimation, or action recognition
- Designing controlled experiments and meaningful metrics
- Linux and GPU-based training
- Reading papers and turning them into working experiments
- Comfort with data collection, labelling, train/val, and model integration

Good to have

- Detection & segmentation: YOLO, RT-DETR, Mask R-CNN
- Pose & tracking: ViTPose, Keypoint R-CNN, ByteTrack
- Video / temporal: VideoMAE, Video Swin, MS-TCN
- Learning-based control: Behaviour Cloning, ACT, Diffusion Policy
- Multimodal learning, synthetic data, domain adaptation, uncertainty, or robotics apps

Who fits

Someone who owns an experimentation track — problem, data, models, comparison, explicit recommendation. We want help deciding what to build, what to test, and how to prove it works.

📌 Machine Learning & Computer Vision Engineer (Pune)
🏢 InitX
📍 Pune