Machine Learning Engineer, Generative AI Innovation Center

AMAZON WEB SERVICES SINGAPORE PRIVATE LIMITED; Singapore; On-site; SGD 95,000 - 120,000; Full time

Job summary

A leading cloud services provider is seeking a Machine Learning Engineer for their Generative AI Innovation Center in Singapore. The role involves developing advanced ML models and innovative solutions to solve complex customer problems. Candidates should have over 8 years of software development experience, strong skills in software architecture, and a background in data analysis. This position promises to be dynamic and engaging, contributing to groundbreaking technologies.

Qualifications

• 8+ years of non-internship professional software development experience.
• 5+ years of experience in leading design or architecture of systems.
• Experience as a mentor or tech lead.

Responsibilities

• Solve complex technical problems at every layer of the stack.
• Research implementations for optimal customer experiences.
• Work cross-functionally to help drive business solutions.

Skills

Software development

Machine learning

Data analysis

Mentoring

Education

Bachelor's degree in computer science or equivalent

Tools

SQL

Python

Job description

Overview

Amazon launched the Generative AI (GenAI) Innovation Center (GenAIIC) in Jun 2023 to help AWS customers accelerate enterprise innovation and success with Generative AI. Customers such as Highspot, Lonely Planet, Ryanair, and Twilio are engaging with the GAI Innovation Center to explore developing generative solutions.

GenAIIC provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies that get deployed on devices and in the cloud.

As a Machine Learning Engineer in GenAIIC, you are proficient in developing and deploying advanced ML models and pipelines to solve diverse customer problems using Gen AI. You will be working alongside scientists with terabytes of text, images, and other types of data and develop Gen AI based solutions to solve real-world problems. You\u2019ll design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.

Responsibilities

• Solve complex technical problems, often ones not solved before, at every layer of the stack.
• Design, implement, test, deploy and maintain innovative ML solutions to transform service performance, durability, cost, and security.
• Build high-quality, highly available, always-on products.
• Research implementations that deliver the best possible experiences for customers.
• Build high-impact ML solutions to deliver to our large customer base.
• Participate in design discussions, code review, and communicate with internal and external stakeholders.
• Work cross-functionally to help drive business solutions with your technical input.
• Work in a startup-like development environment, where you\u2019re always working on the most important stuff.

Qualifications

Basic qualifications

• 8+ years of non-internship professional software development experience
• 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience building complex software systems that have been successfully delivered to customers
• Experience as a mentor, tech lead or leading an engineering team
• 5+ years experience in data querying languages (e.g. SQL), scripting languages (e.g. Python) with exposure to machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience

Preferred qualifications

• 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Bachelor's degree in computer science or equivalent

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