About the role

Dataclap builds AI data pipelines — annotation, RLHF, human-in-the-loop, and MLOps — for clients across North America and Europe. We're looking for a Computer Vision Developer who can go beyond running a single off-the-shelf model: someone who has stitched multiple models into working pipelines, and who has trained or fine-tuned models rather than only consuming APIs.

You'll design and build vision systems that power model-assisted labeling, automated QA of annotations, and delivery pipelines for our clients' datasets. This is a hands-on engineering role — you'll own problems end to end, from data and model selection through to deployment and monitoring.

What you'll do

• Design and build multi-model computer vision pipelines (e.g. detection → tracking → segmentation → classification / OCR) that run reliably at scale..

• Fine-tune and train custom models from open-source checkpoints to hit client-specific accuracy and edge-case requirements..

• Evaluate and benchmark candidate models, select the right architecture for each task, and document trade-offs (accuracy,



latency, cost)..

• Build model-assisted labeling and auto-QA tooling to accelerate our annotation and HITL workflows..

• Handle the full lifecycle: data preparation, augmentation, training, validation, error analysis, and iteration..

• Optimize models for inference — quantization, ONNX/TensorRT export, batching — and package them for deployment..

• Set up experiment tracking, versioning, and reproducible training runs..

• Collaborate with annotation, delivery, and DevOps teams, and communicate results clearly to non-ML stakeholders and clients..

Required qualifications

• 3+ years of total software/ML engineering experience, with at least 1–2 years working specifically in computer vision..

• Hands-on experience with multiple computer vision models across different task families — not just one. For example: object detection (YOLO family, Faster R-CNN, DETR), segmentation (SAM, Mask

📌 Computer Vision Developer (Coimbatore)
🏢 DATACLAP DIGITAL
📍 Coimbatore