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YipitData is the leading market research and analytics firm for the disruptive economy. 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.
Job Responsibility:
Assist in the development, training, and fine-tuning of machine learning (ML) models
Work with large datasets, including data cleaning, preprocessing, and feature engineering
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
Collaborate with software engineers to deploy and integrate AI models into production environments
Conduct experiments, analyze results, and enhance model performance
Stay updated with the latest advancements in AI and machine learning
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
Nice to have:
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