Data Scientist - Computer Vision

1 - 2 years

3 - 4 Lacs

Posted:4 hours ago| Platform: Naukri logo

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Job Type

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Job Description


Position - Data Scientist
Function - AI
Experience - 1 - 2 Yrs
Location - Kolkata
No. of Positions - 1no
Qualification - B.Tech in Computer Science

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.

  • Translate shopfloor and business problems into clear computer vision tasks (detection, segmentation, pose, tracking, vision-language, 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 latency-accuracy 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

 

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