
Data Architect
23 hours ago
We are seeking a talented individual to lead the development of high-impact AI projects, combining both statistical theory and modern AI techniques.
Key Responsibilities:
- Develop and implement 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.
- Work closely with 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 in SQL, Python, and visualization tools (Power BI).
- Experience in developing mathematical models for business applications, preferably in finance, trading, image-based AI, biomedical modeling, or recommender systems industries.
- Strong communication skills to interact effectively with both technical and non-technical stakeholders.
- Excellent problem-solving skills with the ability to work independently and as part of a team.
Desirable Traits:
- Curious nature to uncover underlying patterns.
- Ability to explain complex findings simply.
We empower our clients to make data-driven decisions by leveraging the power of AI and machine learning. Our team works closely with clients to identify core business problems and proactively identify solutions that help them succeed.
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