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AI/ML Engineer, Professional Services

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform, pioneering cloud computing and continuous innovation.
Seoul, South Korea
Machine Learning
Senior Software Engineer
Hybrid
5,000+ Employees
7+ years of experience
AI · Enterprise SaaS

Description For AI/ML Engineer, Professional Services

Amazon Web Services (AWS) is seeking an experienced AI/ML Engineer to join their Professional Services team. This role sits at the intersection of cutting-edge AI technology and enterprise customer success, focusing on implementing state-of-the-art machine learning solutions for AWS's largest customers.

The position offers a unique opportunity to work with Large Language Models (LLMs) and apply Generative AI algorithms to solve real-world problems with significant impact. As an AI/ML Engineer, you'll be responsible for designing and implementing scalable AI solutions while working directly with customers to understand their business challenges and guide them through successful AI adoption.

The role requires a blend of technical expertise in machine learning, hands-on development skills, and strong customer-facing abilities. You'll collaborate with AI/ML scientists, engineers, and architects to research, design, and evaluate AI/ML algorithms. The position involves establishing automated processes for large-scale data analyses, model development, and implementation.

AWS values diverse experiences and encourages applications from candidates with non-traditional backgrounds. The company offers a supportive work environment with emphasis on work-life harmony, ongoing learning opportunities, and career development through mentorship programs.

Key responsibilities include:

  • Collaborating with AI/ML teams to develop and evaluate algorithms
  • Direct customer interaction for solution implementation
  • Creating scalable processes for data analysis and model development
  • Developing best practices and technical documentation
  • Providing market feedback to product teams

The ideal candidate should have:

  • Significant experience with LLMs and Prompt Engineering
  • Strong background in machine learning and deep learning frameworks
  • Expertise in Python and ML libraries
  • 7+ years of industry experience in predictive modeling
  • Advanced degree in a quantitative field (preferred)

This position offers the opportunity to work at the forefront of AI/ML technology while making a significant impact on enterprise-level solutions. You'll be part of AWS's mission to shape the future of cloud computing and AI technology, working with a global team that values innovation, learning, and inclusive culture.

Last updated a day ago

Responsibilities For AI/ML Engineer, Professional Services

  • Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate AI/ML algorithms
  • Interact with customers directly to understand business problems and implement AI/ML solutions
  • Establish scalable, automated processes for data analyses and model development
  • Create best practice recommendations, tutorials, blog posts, and presentations
  • Provide customer and market feedback to Product and Engineering teams

Requirements For AI/ML Engineer, Professional Services

Python
  • Significant experience building models for business applications and experience with Large Language Models (LLMs) and Prompt Engineering
  • Experience in algorithms, data structures, numerical optimization, data mining, parallel computing
  • Experience in Python and hands-on experience with deep learning frameworks like Tensorflow, PyTorch, MXNet
  • Experience using machine learning libraries like scikit-learn, NumPy, Pandas, MLlib
  • Strong data engineering skills and communication skills
  • PhD or Masters degree in computer science, engineering, mathematics, or quantitative field preferred
  • 7+ years of industry experience in predictive modeling and analysis

Benefits For AI/ML Engineer, Professional Services

Medical Insurance
Dental Insurance
Vision Insurance
401k
Parental Leave
  • Work-life balance with flexible working culture
  • Career development and mentorship opportunities
  • Inclusive team culture
  • Knowledge sharing and learning experiences
  • Employee-led affinity groups

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