Position : Data Scientist
Function : AI
Experience : 1 - 2 Yrs
Location : : B.Tech in Computer Science
Job Description
NowPurchase is seeking a skilled and driven Data Scientist (Computer Vision) to design, train, and deploy AI-first vision models for real-world manufacturing environments.
The ideal candidate will have strong hands-on experience/knowledge with computer vision, a passion for working with production-grade data, and the ability to see their models perform on live shopfloors.
This role requires a practical mindset, close collaboration with engineering and operations teams, and a strong focus on improving process efficiency, quality, and safety in foundries and metal manufacturing units.
Role & Responsibilities
- Translate shopfloor and business problems into clear computer vision tasks (detection, segmentation, pose, tracking, visionlanguage, etc.
- Own the data lifecycle: define classes, design and perform annotations, and maintain clean, versioned datasets.
- Design and run experiments, compare models, and improve performance based on structured evaluation and error analysis.
- Prepare and optimize models for deployment on GPUs and edge devices with a focus on reliability, latency, and robustness.
- Work with developers to integrate models into production pipelines, dashboards, and alerts.
- Collaborate with AI / Product / Engineering / Design to ship solutions that are usable and valuable on the shopfloor, and document your work clearly.
Desired Attributes
- Strong programming skills in Python.
- Solid understanding of PyTorch and custom model training (beyond just running off-the-shelf notebooks).
- Practical experience with :
- YOLOv5 / YOLOv8 / YOLOv11 for object detection (training, validation, fine-tuning, augmentations, hyperparameter tuning).
- RF-DETR or similar transformer-based detectors.
- Experience with segmentation using SAM / SAM2 / SAM3, YOLO-Seg
- Familiarity with pose estimation using YOLO-pose and/or other pose models (e.g., OpenPose / MMPose / RTMPose or similar).
- Basic working knowledge of VLMs like CLIP, Florence-2, and at least one other modern VLM (e.g., BLIP, LLaVA, Qwen-VL or similar).
- Exposure to edge devices like Jetson Nano/Orin or similar low-latency setups.
- Experience exporting models to ONNX, familiarity with TensorRT for optimizing and deploying models on GPUs / edge devices.
- AWS familiarity
- S3 for datasets and model artifacts.
- SageMaker (using the SageMaker SDK to launch/train/evaluate experiments).
- CloudWatch for viewing logs and basic monitoring of jobs/services.
- Understanding of latencyaccuracy trade-offs and how to debug performance bottlenecks.
Compensation & Benefits
Compensation : As per industry standards & pedigree of the candidate
Group Medical Insurance : This is over and above compensation.
- 3 lakhs floater for the family including parents, spouse, children.
- Top Up option is also available upon personal request.
- Generous leave structure including maternity & paternity leaves
- Snacks on the house
(ref:hirist.tech)
