Data Analyst – AI/ML Solutions

Responsibilities

• Build and enhance machine learning models through all phases of development including design, training, validation, and implementation etc.
• Work on projects involving generative AI, large language models, and retrieval­ augmented generation (RAG).
• Unlock insights by analyzing large scale of complex numerical and textual data and identifying trends.
• Partner with a cross-functional team of data engineers, software engineers, and data visualization to deliver projects.
• Research and evaluate emerging technologies.
• Write efficient, maintainable, and well-documented Python code.
• Develop data science solutions based on tools and cloud computing infrastructure.

Skillset

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field with 3 years of relevant experience in machine learning or AI development OR equivalent combination of education and experience.
• Demonstrated track record of successful ML/ AI project implementations.
• In-depth knowledge of large language models (LLMs).
• Experience with retrieval-augmented generation (RAG) techniques.
• Require a good understanding of deep learning architectures and algorithms.
• Proven experience in machine learning, deep learning, and statistical analysis.
• Strong experience in Python, with minimum 2 years’ experience in building large program, preferable in financial domain.
• Familiarity with cloud technology (Azure, Databricks, etc.) is preferred.
• Strong understanding of regression models and ensemble methods.
• Ability to select and apply appropriate ML algorithms for given problems.
• Expertise in statistical analysis and hypothesis testing.
• Skills in exploratory data analysis and data visualization.