Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowFirst seen 2 days ago

Computer Vision - Data Scientist

Nextgen Invent Corporation11 open roles

Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowComputer Vision - Data ScientistNextgen Invent Corporation

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Nextgen Invent Corporation's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: first seen 2 days ago

The posting

Experience: 2+ Years

Job Location: WFH/Remote

No. of Positions: Multiple

Qualification: Ph.D. in Computer Science, Artificial Intelligence, Computer Vision, Machine Learning, Data Science, Applied Mathematics, or a related field

Work Timings: 1:30 PM IST – 10:30 PM IST

NextGen Invent is seeking a Computer Vision - Data Scientist to join its Data Science Practice. This role will focus on designing, developing, and deploying enterprise-scale Computer Vision solutions that solve complex business challenges using cutting-edge AI and Deep Learning technologies.

Key Responsibilities

  • Design, develop, and deploy Computer Vision solutions for enterprise use cases.
  • Build and optimize models for image classification, object detection, segmentation, OCR, tracking, and video analytics.
  • Develop end-to-end AI pipelines covering data preparation, model training, evaluation, deployment, and monitoring.
  • Apply state-of-the-art Deep Learning architectures, including CNNs, Vision Transformers (ViTs), and multimodal AI models.
  • Deploy scalable Computer Vision applications across cloud and edge environments.
  • Analyze large-scale image, video, and multimodal datasets to generate actionable insights.
  • Benchmark, evaluate, and optimize model performance using industry-standard metrics.
  • Maintain and enhance existing AI solutions to improve accuracy, efficiency, and scalability.
  • Collaborate with engineering, product, and business teams to translate requirements into AI-driven solutions.
  • Implement MLOps best practices for model lifecycle management, monitoring, and continuous improvement.
  • Stay current with emerging research and advancements in Computer Vision and AI, driving innovation within the organization.

Skills, Knowledge & Experience

  • Must have a Ph.D. in an analytical or technical field (e.g., Artificial Intelligence, Computer Vision, Machine Learning, Data Science, Applied Mathematics)
  • Minimum 2+ years of hands-on experience building and deploying Computer Vision solutions in production environments.
  • Strong understanding of Computer Vision, Deep Learning, Machine Learning, and Image Processing techniques.
  • Experience with object detection, image classification, segmentation, OCR, pose estimation, and video analytics.
  • Hands-on experience with PyTorch, TensorFlow, Keras, OpenCV, or similar frameworks.
  • Strong knowledge of modern Computer Vision architectures such as YOLO, Faster R-CNN, Mask R-CNN, ResNet, EfficientNet, DETR, and Vision Transformers.
  • Proficiency in Python and SQL is a must.
  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Familiarity with Docker, Kubernetes, CI/CD pipelines, and MLOps tools.
  • Experience with model evaluation, optimization, and deployment of scalable AI systems.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to collaborate effectively with cross-functional teams and stakeholders.

Preferred

  • Experience with vision-language models and multimodal AI frameworks such as CLIP and BLIP.
  • Experience deploying real-time or edge AI applications.
  • Familiarity with annotation tools such as CVAT, Labelbox, or Supervisely.
  • Domain experience in Healthcare, Manufacturing, Retail, Automotive,
  • Experience working with US or European clients.
  • Leadership or mentoring experience in AI/ML projects.

This job description is not intended to cover or contain a comprehensive listing of all responsibilities, duties, or activities required for the role. Responsibilities may change, or new responsibilities may be assigned, at any time with or without notice.

If you are a motivated professional with a passion for delivering impactful solutions, we'd love to hear from you. Apply today to be part of a dynamic and forward-thinking team at NextGen Invent.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Nextgen Invent Corporation's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Nextgen Invent Corporation's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Nextgen Invent Corporation's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.