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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