Description review
Software Engineer, AI
YipitData · India - Remote · back to the listing
HR standards
64/100
needs work
Title ↔ description
74/100
solid
Reads as
Machine Learning Engineer
98% confident
What this role officially is
data scientist — ESCO, the EU occupation classification
Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.
Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist
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What the listing never says
- 33 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
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.
Job Applicant Privacy Notice
<img height="1" width="1" style="display:none;" alt="" src="https://px.ads.linkedin.com/collect/?pid=4341228&conversionId=10486642&fmt=gif" />
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.
Job Applicant Privacy Notice
<img height="1" width="1" style="display:none;" alt="" src="https://px.ads.linkedin.com/collect/?pid=4341228&conversionId=10486642&fmt=gif" />