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.
Key job responsibilities
As an ML Scientist 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.
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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