Senior AI Engineer

3 days ago

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YipitData

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YipitData is a data analysis company that aggregates and analyzes billions of data points every day to provide accurate, timely insights on over 1,000 companies. Their primary focus is on delivering actionable data to investors and companies, enabling smarter decision-making and growth strategies. With their alternative data, YipitData covers a wide range of industries, offering detailed reports and insights for brands, retailers, investors, and other partners. The company prides itself on accuracy and speed of data delivery, supported by a team that consistently collects, cleans, and analyzes high-quality datasets.

201 - 500 employees

Founded 2013

🤝 B2B

💸 Finance

💰 $475M Series E on 2021-12

📋 Description

• YipitData is the leading market research and analytics firm for the disruptive economy and recently raised up to $475M from The Carlyle Group at a valuation over $1B. • We analyze billions of alternative data points every day to provide accurate, detailed insights on ridesharing, e-commerce marketplaces, payments, and more. • As Our AI Engineer, You Will: • Assist in the development, training, and fine-tuning of machine learning (ML) models. • Design and implement data pipelines for training models on large-scale datasets, ensuring clean, high-quality, and diverse training data, and providing the ability for incremental learning. • 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) and predictive analytics. • Be familiar with Docker & Kubernetes technology, and develop stable and model-integrated API services. • Experiment with prompt engineering, few-shot learning, and fine-tuning in LLM for various business use cases. • Optimize transformer-based models, LLM for efficiency, latency, and performance using quantization, pruning, and distillation techniques.

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field. • Basic understanding of machine learning algorithms and deep learning models. • Hands-on experience with Python and AI frameworks (TensorFlow, PyTorch). • Familiarity with data processing libraries like Pandas, NumPy, and the regular expression. • Understanding of model evaluation techniques and performance metrics. • Bonus Points If You: • Experience with NLP (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.

🏖️ Benefits

• 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.