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    Job · 22365734

    Yipitdata logo

    Software Engineer, AI

    Yipitdata · Remote · remote · Posted 2d ago

    Not disclosed3–4 yrsfulltimeSourced fromGreenhouse

    About a minute. You'll make an account on the way through.

    About this role

    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" />

    Sourced from greenhouse

    Skills

    valuationMLOpsamazon web servicesNatural Language ProcessingSourcingHugging Face TransformersLarge Language Models (LLMs)PytorchTensorflowScikit-LearnPythonPandasNumpyDeep LearningMicrosoft AzureCi/CdData ScienceMachine Learning

    About YipitData

    Yipitdata logo

    Yipitdata

    Analytics & KPO

    New York

    US

    About

    YipitData provides analytical insights derived from vast datasets, catering to investment firms with tailored market research across various sectors.

    Industries

    Analytics & KPO

    Employee ratings

    12 reviews

    3.8/ 5

    Culture

    3.6

    Career growth

    3.8

    Work-life

    4.1

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