AIML Engineer Professional Services Professional Services

Are you looking to work at the forefront of Machine Learning and AI Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact Excited by using massive amounts of data to develop Machine Learning (ML) and Deep Learning (DL) models Want to help the fastest growing and largest global enterprises derive business value through the adoption of Artificial Intelligence (AI) Thrilled to be key part of Amazon who has been investing in Machine Learning for decades pioneering and shaping the worlds AI technology. We earn trust and credibility with leaders of enterprise customers through our experience working at the enterprise level and our firsthand experience with the challenges of AI adoption.

At AWS we are looking for Data Scientists capable of using AI/ML to design evangelize and implement stateoftheart largescale AI/ML solutions. You will work directly with customers and innovate in a fastpaced organization that contributes to gamechanging projects and technologies. You will design and run experiments research new algorithms and find new ways of optimizing risk profitability and customer experience.

Key job responsibilities
Collaborate with AI/ML scientists engineers and architects to research design develop and evaluate AI/ML algorithms to address realworld challenges
Interact with customers directly to understand the business problem help and aid them in implementation of AI/ML solutions deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production
Establish scalable efficient automated processes for large scale data analyses model development model validation and model implementation
Create and deliver best practice recommendations tutorials blog posts sample code and presentations adapted to technical business and executive stakeholder
Provide customer and market feedback to Product and Engineering teams to help define product direction

About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employeeled affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.

Work/Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.

Significant years of industry experience building models for business applications and significant experience with Large Language Models (LLMs) and Prompt Engineering.
Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing highperformance computing neural deep learning methods and/or machine learning.
Experience in using Python and handson experience building models with deep learning frameworks like Tensorflow Keras PyTorch MXNet.
Experience using machine learning libraries such as scikitlearn NumPy Pandas MLlib
Strong data engineering skills and communication and Data & AIML presentation skills.

PhD or Masters degree in computer science engineering mathematics operations research or in a highly quantitative field.
7 years of industry experience in predictive modeling and analysis predictive software development.
Practical experience in solving complex problems in an applied environment.
Prior experience in training and finetuning of LLMs.
Strong AWS Infrastructure and Automation skills.

Amazon est un employeur engag pour lgalit des chances. Nous sommes convaincus quune main doeuvre diversife est essentielle notre russite. Nous prenons nos dcisions de recrutement en fonction de votre exprience et de vos comptences. Nous apprcions votre envie de dcouvrir dinventer de simplifier et de construire. La protection de votre vie prive et la scurit de vos donnes constituent depuis longtemps une priorit absolue pour Amazon. Veuillez consulter notre Politique de Confidentialit pour en savoir plus sur la faon dont nous collectons utilisons et traitons les donnes personnelles de nos candidats.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.