AI Engineer

YipitData
India

About Us:

YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments.

Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence.

We operate globally with offices in the US, APAC, and India. Our award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery.

What It’s Like to Work at YipitData:

YipitData isn’t a place for coasting—it’s a launchpad for ambitious, impact-driven professionals.

From day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers.

Why Top Talent Chooses YipitData:

  • Ownership That Matters: You’ll lead high-impact projects with real business outcomes
  • Rapid Growth: We compress years of learning into months
  • Merit Over Titles: Trust and responsibility are earned through execution, not tenure
  • Velocity with Purpose: We move fast, support each other, and aim high—always with purpose and intention

If your ambition is matched by your work ethic—and you're hungry for a place where growth, impact, and ownership are the norm—YipitData might be the opportunity you’ve been waiting for.

Role Specific Skills

  • ML Algorithms and Deep Learning Fundamentals
  • PyTorch or TensorFlow
  • Model Development, Training, and Deployment
  • Model Evaluation Techniques and Performance Metrics
  • NLP and LLMs (Hugging Face Transformers, spaCy)
  • Familiarity with Cloud AI Services (AWS SageMaker, Google Vertex AI, Azure AI)
  • Basic MLOps Practices
  • Fundamentals of AI Ethics, Bias Detection, and Model Interpretability

As Our AI Engineer, You Will:

  • Assist in the development, training, and fine-tuning of machine learning (ML) models.
  • Work with large datasets, including data cleaning, preprocessing, feature engineering, and preparing high-quality training data.
  • Implement and optimize deep learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Support research and development of AI applications in natural language processing (NLP), large language models (LLMs), and predictive analytics.
  • Collaborate with software engineers to deploy and integrate AI models into production environments, including model-integrated API services.
  • Conduct experiments, analyze results, and enhance model accuracy, efficiency, latency, and performance.
  • Stay updated with the latest advancements in AI and machine learning.

You Are Likely To Succeed If:

  • Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field.
  • 3 to 4 years of relevant hands-on work experience
  • Solid understanding of machine learning algorithms and deep learning models.
  • Hands-on experience with Python and AI frameworks (TensorFlow or PyTorch).
  • Familiarity with data processing libraries like Pandas, NumPy, and regular expressions.
  • Understanding of model evaluation techniques and performance metrics.
  • Experience with model training, fine-tuning, and experimentation.
  • Familiarity with NLP and LLM applications.

Bonus Points If You:

  • Experience with NLP and LLM frameworks (Hugging Face Transformers, spaCy).
  • Exposure to cloud AI services (AWS SageMaker, Google Vertex AI, Azure AI).
  • Knowledge of MLOps practices, including CI/CD for ML models.
  • Familiarity with AI ethics, bias detection, and model interpretability.

This is a fully-remote opportunity based in India. Standard work hours are from 8 am to 5 pm IST.

What We Offer:

Our compensation package includes comprehensive benefits, perks, and a competitive salary:

  • We care about your personal life, and we mean it. We offer vacation time, parental leave, team events, learning reimbursement, and more!
  • Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity employer.

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Questions about this job

How do I apply for the AI Engineer job at YipitData?

Use the apply link on this page: you apply directly with YipitData on LinkedIn. Before you do, score your resume against this job description on Fitboard. It shows which skills and keywords the job asks for that your resume doesn't show, so you can fix them first.

What skills does YipitData want for this AI Engineer role?

The job description asks for ML Algorithms and Deep Learning Fundamentals, PyTorch or TensorFlow, Model Development, Training, and Deployment, Model Evaluation Techniques and Performance Metrics, NLP and LLMs (Hugging Face Transformers, spaCy), Familiarity with Cloud AI Services (AWS SageMaker, Google Vertex AI, Azure AI), Basic MLOps Practices and Fundamentals of AI Ethics, Bias Detection, and Model Interpretability. Make sure your resume shows the ones you have, in the words the job uses: applicant tracking systems look for them.

How can I get a job at YipitData?

Apply to the YipitData roles that match your experience, and tailor your resume to each job description: for this role that means showing ML Algorithms and Deep Learning Fundamentals, PyTorch or TensorFlow, Model Development, Training, and Deployment. A resume that matches the job's own keywords is more likely to get past screening. Fitboard scores your resume against this exact job for free.

Is this AI Engineer job remote or onsite?

This is based in India.

Is it free to apply? Does Fitboard charge anything?

Applying is free: you apply directly with YipitData, and this job page and its apply link cost nothing. Checking your resume against this job is free too, with 3 free scans when you sign in and no credit card needed.

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