Responsibilities
- Strategize and oversee the creation of innovative data analytics techniques, methodologies, and solutions, guiding projects from design through prototyping and testing phases.
- Identify and develop essential data and AI science components for project execution, design specialized database and computing frameworks, and analyze complex datasets to uncover actionable business insights.
- Extract, consolidate, and process data from diverse sources to build sophisticated models and algorithms tailored to business requirements.
- Perform rigorous testing of data and AI models, interpret results, and assess model performance to ensure readiness for scaling and deployment.
- Collaborate effectively within a team, utilizing advanced expertise in statistics, scripting, and programming languages as needed for the organization.
- Employ and manage software platforms utilized for deploying AI and data-driven solutions.
- Any other ad-hoc duties as assigned by supervisor.
Requirements
- At least a Bachelor's Degree in Computer Science, AI, Machine Learning, Mathematics, or a related field.
- Proven experience in AI research and developing advanced ML/DL models.
- Proficiency in programming languages such as Python, R, or Julia.
- Expertise in AI frameworks like TensorFlow, PyTorch, or JAX.
- Strong knowledge of algorithms, data structures, and statistical methods.
- Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and distributed computing.
Preferred:
- Publications in top-tier AI/ML journals or conferences (e.g., NeurIPS, CVPR, ICML).
- Familiarity with emerging technologies like generative adversarial networks (GANs), transformer models, or graph neural networks.
- Experience in data visualization and interpretability of AI models.
- Understanding of ethical and regulatory considerations in AI.
