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Machine Learning Infrastructure Engineer

LaterBoston, MANew
On-site Full-time

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Experience Level

Experience

Qualifications

Bachelor's degree in Computer Science, Engineering, or a related field. Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). Strong programming skills in languages such as Python or Java. Familiarity with machine learning frameworks (TensorFlow, PyTorch, etc.). Excellent problem-solving abilities and a collaborative mindset.

About the job

Join Later as a Machine Learning Infrastructure Engineer, where you will play a vital role in building and optimizing our machine learning systems. You will work closely with data scientists and software engineers to create robust infrastructure that supports the scalable deployment of machine learning models.

About Later

Later is a forward-thinking organization focused on revolutionizing the way brands engage with their audiences through intelligent technology. Our team is passionate about innovation and committed to delivering powerful solutions that drive results.

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