Overview
AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. You'll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.
As a Machine Learning (ML) Consultant, you are proficient in designing and developing advanced ML models to solve diverse challenges and opportunities. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We're looking for ML Consultant capable of using ML, GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.
Responsibilities
* Collaborate with engineers to research, design, develop, and evaluate state-of-the-art ML and generative AI algorithms to address real-world challenges across industries
* Lead customer interactions to deeply understand the business problem, and help them in defining and implementing ML and generative AI solutions, as well as guide them on adoption patterns and paths to production
* Work closely with account teams, research scientist teams, and product engineering teams to drive model implementations and develop new solutions
* Create and deliver best practice recommendations, scientific artifacts, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders
* Effectively communicate complex ML results and insights to diverse audiences, translating technical concepts for non-technical stakeholders while providing appropriate depth for technical audiences in both public-facing publications and internal knowledge sharing sessions
Work Environment
AWS Professional Services (ProServe) is a global team of consultants that helps enterprise customers achieve their business outcomes on AWS Cloud. ProServe consultants work with hundreds of the world's largest enterprises to help them deliver their cloud initiatives.
Team and Culture
Diverse Experiences: AWS values diverse experiences. If you do not meet all of the preferred qualifications, we encourage you to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, apply without hesitation.
Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, trusted by startups to Global 500 companies.
Inclusive Team Culture: We value curiosity and connection. Our affinity groups promote inclusion, and our events foster collaboration. Innovation is fueled by diverse perspectives.
Mentorship & Career Growth: We provide knowledge-sharing, mentorship, and resources to develop professionally.
Work/Life Balance: We strive for flexibility to support employees in and out of the workplace.
Basic Qualifications
* BSc degree in Computer Science, Physics, Mathematics, Engineering or related field, with 4+ years of experience in building machine learning models for business applications
* Scientific thinking and experience to plan, design, implement and evaluate experiments, with rigorous analysis capabilities
* Experience with neural deep learning methods and machine learning
* Hands-on experience building models with deep learning frameworks like PyTorch, Tensorflow, or Huggingface
* Ability to convey rigorous technical concepts to both technical and non-technical audiences
Preferred Qualifications
* Ability to think strategically about business, product, and technical challenges in an enterprise environment
* Hands-on experience leading large-scale global data analytics projects aligned with business use cases
* Experience in Data Quality management: processes to measure and manage data quality, enforce data controls, and provide data assurance
* Experience implementing AWS services in distributed computing and enterprise environments
* Customer-facing skills to represent AWS in the customer's environment and drive discussions with senior personnel regarding trade-offs, best practices, project management and risk mitigation
Company - Amazon Web Services Australia Pty Ltd
Job ID: A3086924
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