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Machine Learning Infrastructure Engineer

LaterNew York, New York, United StatesNew
On-site Full-time

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Experience Level

Experience

Qualifications

Proven experience in building and managing ML infrastructure. Strong knowledge of cloud platforms such as AWS, GCP, or Azure. Proficiency in programming languages like Python or Java. Experience with containerization technologies like Docker and Kubernetes. Understanding of machine learning frameworks such as TensorFlow or PyTorch. Excellent problem-solving skills and ability to work in a fast-paced environment.

About the job

We are seeking a skilled Machine Learning Infrastructure Engineer to join our dynamic team at Later. In this role, you will be responsible for developing and maintaining scalable machine learning infrastructure that powers our innovative solutions. You will work closely with data scientists and software engineers to ensure the deployment and optimization of machine learning models.

About Later

Later is a cutting-edge technology company based in New York that specializes in providing innovative solutions for businesses. We are committed to harnessing the power of machine learning and data science to drive success for our clients. Join us and be part of a team that is shaping the future.

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