The AWS Migration Services team seeks to hire an ML Engineer who has a solid background in design and development of scalable AI/ML systems, deep passion for building AI-driven products, ability to communicate engineering insights, and has a proven track record of executing complex projects and delivering high business impact. This role will provide exposure to state-of-the-art innovations in AI/ML systems as well as working experience with scientists on the science side of the spectrum.
The long-term vision of the team is to build new generative solution for application modernization and automated refactoring. We are creating the capabilities to generate modernization blueprint, decompose monolith into micro services, generate test agents, perform semantic reverse engineering. We build state-of-the-art foundational technologies that allow customers boost their application agility.
The AWS Migration Services team is part of AWS Utility Computing (UC) that provides product innovations – from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services.
Key job responsibilities
As an ML Engineer you will design and develop AI/ML products that involves large-scale data processing and modeling. You will have responsibility to help select, define, train and fine tune existing models. You are responsible to identify state of the art models to enable new capabilities for code migration and code testing.
As a scientist you will be part of an engineering team and you will collaborate in defining and implementing AI based solution used by our customers to accelerate their migration.
As an ML Engineer, you will be expected to:
* Work with Applied Scientists, Data Scientists, and ML Engineers to design and deliver AI/ML solutions in production at scale.
* Develop ML workflows and end-to-end pipelines for data preparation, training, deployment, monitoring, etc., and ensure the quality of architecture and design of our ML systems and data infrastructure.
* Deliver customer facing and internal ML solutions that empower our devices to provide the best experience for our customers.
About the team
About AWS
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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
We are open to hiring candidates to work out of one of the following locations:
Bordeaux, FRA
BASIC QUALIFICATIONS
Experience contributing to the system design and training (architecture, design patterns, reliability and scaling) of new and current AI/ML systems.
Software development experience * Programming experience with at least one software programming language.
PREFERRED QUALIFICATIONS
Master’s degree in Computer Science or equivalent.
Experience in building scalable machine-learning infrastructure.
Experience with building LLM and/or GNN models.
Experience with machine learning libraries and deep learning frameworks (TensorFlow, PyTorch, etc.)
Experience with Supervised and Unsupervised ML
Experience with end-to-end software development and life cycle of machine learning solutions.
Excellence in technical communication with scientists and engineers.
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