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Open nowPosted today

AI Research Engineer

Training Basket78 open roles

Where
Noida, Uttar Pradesh, India
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Your applicationOpen nowAI Research EngineerTraining Basket · Noida, Uttar Pradesh, India

  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 Training Basket'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.

13.5% of postings close within 7 days. Measured by our own scanner across the market. Training Basket postings stay open a median of 10 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.6%3 days
  3. 13.5%7 days
  4. 21.8%14 days
  5. 36.6%30 days
  6. 58.9%60 days
This job: posted today

Training Basket median: 10 days open

The posting

Research and develop new AI and Machine Learning algorithms and models. Design, train, test, and optimize machine learning and deep learning models. Explore advanced AI technologies, including Generative AI and Large Language Models (LLMs). Perform data collection, preprocessing, cleaning, and feature engineering. Conduct experiments to evaluate model performance and accuracy. Implement research papers and convert theoretical concepts into practical solutions. Work with NLP, Computer Vision, and Deep Learning techniques. Optimize algorithms for performance, scalability, and efficiency. Collaborate with engineering and research teams to develop AI-based solutions. Document research findings, experiments, and technical results. Stay updated with the latest developments in AI, ML, and emerging technologies. Requirements Strong programming knowledge in Python. Understanding of Machine Learning algorithms and concepts. Knowledge of Deep Learning and Neural Networks. Experience with libraries such as NumPy, Pandas, Scikit-learn. Knowledge of TensorFlow or PyTorch. Understanding of Statistics, Linear Algebra, Probability, and Calculus. Knowledge of Data Preprocessing and Feature Engineering. Understanding of model training, evaluation, and optimization. Familiarity with NLP and Computer Vision concepts. Strong analytical, mathematical, and problem-solving skills.

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What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Training Basket'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 Training Basket'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

    Training Basket'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.
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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.

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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.

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With CV Rocket100
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Before you press

Straight answers

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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?

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