Job Description

• Build and enhance machine learning models through all phases of development including design, training, validation, and implementation etc.
• Unlock insights by analyzing large scale of complex numerical and textual data and identifying trends.
• Partner with a cross-functional team of data engineers, data scientists, and data visualization to deliver projects.
• Research and evaluate emerging technologies.
• Develop data science solutions based on tools and cloud computing infrastructure.
• Perform other duties as assigned.

• Bachelor's degree in computer science, mathematics, physics, statistics, or related field.
• Experience with applying expertise in model design, training, validation, and monitoring.
• Understanding of machine learning, statistical modeling, and algorithms.
• Advanced skills with Python, Jupyter Notebook/Jupyter Lab, Visual Studio Code and other languages appropriate for large data analysis.
• Solid SQL skills.
• Experience with data visualization concepts and tools.
• Ability to convey complex business problems to technical solutions.
• Ability to work individually, and as part of a team.
• Good verbal, written, interpersonal, and presentation skills to communicate clearly and concisely technical and non-technical information to all levels of management.

• Advanced degree in in computer science, mathematics, physics, statistics, or related field.
• Experience with Natural Language Processing.
• Knowledge of deep learning framework and infrastructure.
• Experience and/or willing to learn different techniques (e.g., prompt engineering) in Large Language Models (LLMs) to better understand the capabilities of LLMs.
• Experience and/or willing to research, develop, implement, and fine-tuning LLMs in terms of specific domains knowledge and user cases.
• Experience with cloud computing infrastructure.
• Knowledge of Machine Learning Ops and CI/CD tools for automation of build, test, and deploy models in production environments.

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