AI Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 4d ago
The date the source published, not the day we noticed it (2026-10-28). Last seen at its source 3h ago.
We have tracked this listing since 28 Oct 2026 (4 days). The employer's own board has carried it every time we have read it, most recently 3 hours ago.
Is it remote?
India - Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
India
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $50k–90k/yr
Middle 50% of 21 listings that do state pay — Engineering · all levels · India · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
Greenhouse employer's own board first seen 4d ago · last seen 3h ago
The listing
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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