Machine Learning Engineer

QuantumBricks • Contract • Remote (United States, US) • 5m ago

Responsibilities

build and deploy scalable machine learning models to solve real-world challenges,
translate business requirements into machine learning tasks and goals,
optimize data pipelines for model training and deployment,
implement automated processes for model updates and deployment,
ensure AI models integrate smoothly into client environments,
keep up with new technologies and methodologies and apply them in action,
share knowledge through deeptalks and workshops.

You Must Have

at least 4 years in Machine Learning, including experience in deploying models,
strong Python skills and familiarity with other object-oriented languages,
experience with machine learning frameworks (PyTorch) and big data technologies,
familiarity with Docker, Kubernetes, and cloud platforms for ML deployment,
very effective communication skills, both written and verbal,
ability to solve problems and communicate complex ideas effectively.

Bonus Skills

experience with Generative AI and Large Language Models (LLMs),
experience with Computer Vision projects,
familiarity with NoSQL and Vector databases,
exposure to backend engineering – asyncio, microservices, production databases.

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