Senior AI/ML Engineer, Professional Services

Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge 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 world’s 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 state-of-the-art large-scale AI/ML solutions. 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.

Key job responsibilities
- Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate cutting-edge AI/ML algorithms to address real-world 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, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s 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, it’s in our nature to learn and be curious. Our employee-led 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 (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life 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, there’s nothing we can’t achieve in the cloud.

<br/><b>QUALIFICATIONS DE BASE</b><br/>- 7+ years of experience building models for business applications and significant experience with Large Language Models (LLMs) and Prompt Engineering.<br/>- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning.<br/>- Experience in using Python and hands-on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet.<br/>- Experience using machine learning libraries, such as scikit-learn, NumPy, Pandas, MLlib<br/>- Strong data engineering skills and communication and Data & AIML presentation skills.<br/><b>QUALIFICATIONS APPRÉCIÉES</b><br/>- PhD or Masters degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field.<br/>- 10+ years of industry experience in predictive modeling and analysis, predictive software development.<br/>- Practical experience in solving complex problems in an applied environment.<br/>- Prior experience in training and fine-tuning of LLMs.<br/>- Strong AWS Infrastructure and Automation skills.<br/><br/>Amazon est un employeur engagé pour l'égalité des chances. Nous sommes convaincus qu'une main d'oeuvre diversifée est essentielle à notre réussite. Nous prenons nos décisions de recrutement en fonction de votre expérience et de vos compétences. Nous apprécions votre envie de découvrir, d'inventer, de simplifier et de construire. La protection de votre vie privée et la sécurité de vos données constituent depuis longtemps une priorité absolue pour Amazon. Veuillez consulter notre Politique de Confidentialité pour en savoir plus sur la façon dont nous collectons, utilisons et traitons les données personnelles de nos candidats.