Description

Lead the design, implementation, and deployment of advanced machine learning and generative AI models for large-scale projects.

This role is remote.

Responsibilities

• Design and implement scalable ML and GenAI solutions using AWS, ensuring seamless production integration and post-deployment monitoring.
• Conduct in-depth data analysis, feature engineering, and model optimization to enhance accuracy and efficiency of LLMs, diffusion models, and GANs.
• Develop high-quality, maintainable Python code for data manipulation, preprocessing, and database integration using SQL.
• Collaborate with cross-functional teams to define requirements, translate business challenges into technical solutions, and deliver projects on schedule.
• Participate in code reviews and support the end-to-end project lifecycle from business analysis to deployment.

Required Skills

• 7+ years of professional experience in data science, machine learning, or AI roles.
• 4+ years of hands-on experience with Large Language Models (LLMs).
• 5+ years of professional experience with Python programming.
• Expert proficiency with ML libraries such as Hugging Face Transformers and scikit-learn.
• Strong experience with AWS Cloud Stack and distributed computing frameworks.
• Deep understanding of generative AI techniques including NLP, GANs, and diffusion models.
• Proficiency in SQL and experience working with large-scale, high-volume datasets.
• Bachelor’s or master’s degree in Computer Science, Data Science, or a related field.

Key Skills

Education

Bachelor's degree