AI/ML Engineer, Professional Services
Description For AI/ML Engineer, Professional Services
Amazon Web Services (AWS) is seeking an experienced AI/ML Engineer to join their Professional Services team, focusing on implementing cutting-edge AI/ML solutions for enterprise customers. This role combines technical expertise in machine learning with customer-facing responsibilities, making it ideal for professionals who excel both in technical implementation and business communication.
The position involves working at the forefront of Machine Learning and AI, particularly with Generative AI algorithms to solve real-world problems with significant impact. You'll be handling massive amounts of data to develop Machine Learning (ML) and Deep Learning (DL) models, while helping the fastest growing and largest global enterprises derive business value through AI adoption.
As an AI/ML Engineer, you'll collaborate with scientists, engineers, and architects to research, design, and evaluate AI/ML algorithms. Your responsibilities include direct customer interaction to understand business challenges, implement solutions, and guide customers on adoption patterns. You'll establish scalable processes for large-scale data analyses and model development, while creating best practice recommendations and technical content.
The role requires significant experience with Large Language Models (LLMs) and Prompt Engineering, along with expertise in Python and deep learning frameworks like TensorFlow, PyTorch, and MXNet. Strong data engineering skills and communication abilities are essential, as you'll be working directly with customers and delivering professional services.
AWS offers a comprehensive benefits package including medical, dental, and vision insurance, along with a strong focus on work-life balance and flexible working culture. The company values diverse experiences and provides numerous opportunities for career development through mentorship and knowledge-sharing initiatives.
This position is based in Seoul, South Korea, and requires occasional travel to client locations. You'll be part of AWS's global services team, contributing to the world's most comprehensive cloud platform while working with leading companies building mission-critical applications.
The ideal candidate should have 7+ years of industry experience in predictive modeling and analysis, preferably with a PhD or Masters degree in a technical field. Experience with AWS infrastructure and automation, along with a track record of solving complex problems in applied environments, would be highly valuable for this role.
Join AWS to be part of a team that's shaping the future of AI technology while working with global enterprise customers to drive innovation and business transformation through cloud computing and artificial intelligence.
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, efficient, automated processes for large scale data analyses and model development
- Create and deliver best practice recommendations, tutorials, blog posts, and presentations
- Provide customer and market feedback to Product and Engineering teams
- Travel to client locations and deliver professional services as needed
Requirements For AI/ML Engineer, Professional Services
- Significant years of industry experience building models for business applications and experience with Large Language Models (LLMs) and Prompt Engineering
- Experience in algorithms, data structures, parsing, numerical optimization, data mining, parallel and distributed computing
- Experience in using Python and hands-on experience building models with deep learning frameworks
- Experience using machine learning libraries like scikit-learn, NumPy, Pandas, MLlib
- Strong data engineering skills and communication and Data & AIML presentation skills
- PhD or Masters degree in computer science, engineering, mathematics, or highly quantitative field (preferred)
- 7+ years of industry experience in predictive modeling and analysis (preferred)
- Prior experience in training and fine-tuning of LLMs (preferred)
- Strong AWS Infrastructure and Automation skills (preferred)
Benefits For AI/ML Engineer, Professional Services
- Work-life balance with flexible working culture
- Career development and mentorship opportunities
- Inclusive team culture
- Knowledge-sharing and learning experiences
- Employee-led affinity groups
Jobs Related To Amazon AI/ML Engineer, Professional Services
