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. 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 : 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).

📌 Tech / AI Specialist (India)
🏢 YipitData
📍 India