Machine Learning Engineer at Sia | Paris

SiaParisNew

On-site Full-time

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Experience Level

Entry Level

Qualifications

To excel as a Machine Learning Engineer at Sia, you should:Hold a degree from an Engineering School or possess a high-level qualification in information processing. Have at least 2 years of professional experience in the Machine Learning domain. Have experience with deploying Large Language Models (LLMs) in production settings. Possess excellent Python skills and familiarity with ML tools such as PyTorch, Pandas, TensorFlow, etc. Have experience maintaining operational models in production environments. Be proficient in executing training and inference workloads in a cloud environment. Knowledge of the AWS Machine Learning ecosystem is a plus. Be eager to take on responsibilities in high-value missions within a dynamic organization.

About the job

Your key responsibilities will include:

Deploying Machine Learning models into production environments.
Managing Cloud infrastructures for data science applications.
Coordinating project progress among Data Scientists, Platform Engineers, Backend Engineers, and business stakeholders.

Additionally, your contributions to our internal initiatives will encompass:

Engaging in internal research efforts (Generative AI, Computer Vision, etc.).
Enhancing or developing our service offerings through training, workshops, and dissemination of internal and external resources.
Contributing to our publication strategy (industry blogs, studies, press releases, etc.).
Supporting business development by defining client needs and participating in commercial activities.

About Sia

Sia is a next-generation international management consulting group founded in 1999. Born in the digital era, we leverage data, creativity, and responsibility to partner with clients, tackling challenges and seizing opportunities. In a rapidly changing world, we believe that optimism is a powerful driver of transformation. With expertise spanning various sectors and services, our 3,000 consultants support clients globally from 48 offices in 19 countries. Our expertise yields tangible results, and our optimism transforms the landscape.

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