
AI Researcher
17 hours ago
The ideal candidate will possess expertise in building and optimizing AI models, with a deep understanding of both statistical theory and modern AI techniques.
- Develop machine learning and deep learning models for predictive and generative AI applications.
- Apply advanced statistical methods to improve model robustness and interpretability.
- Optimize model performance through hyperparameter tuning, feature engineering, and ensemble techniques.
- Analyze large-scale data to identify patterns, biases, and opportunities for AI-driven automation.
- Collaborate with ML engineers to validate, train, and deploy the models.
- Stay updated with the latest research and developments in AI and machine learning to ensure innovative and cutting-edge solutions.
Requirements:
- Education: PhD or master's degree in Statistics, Mathematics, or Data Science
- Experience: 4+ years of experience in machine learning and deep learning, with expertise in algorithm development and optimization.
- Proficiency: SQL, Python, and visualization tools (Power BI)
- Industry Knowledge: Finance, trading, image-based AI, biomedical modeling, or recommender systems
- Communication Skills: Strong communication skills to interact effectively with both technical and non-technical stakeholders.
- Problem-Solving Skills: Excellent problem-solving skills with the ability to work independently and as part of a team.
Benefits:
- Curiosity: Ability to uncover 'why' behind patterns.
- Communication: Ability to explain complex findings simply.
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