Collaborate with cross-functional teams to develop new product features from conception to completion, including research, development, implementation, and maintenance
Develop the engineering architecture and data pipelines needed to enable large-scale machine learning systems
Build products, tools, and services from the ground up in close collaboration with internal and external stakeholders to produce high-caliber solutions
Automate the production deployment and scalability of machine learning models
Job Requirements:
Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience)
At least 3+ years of relevant experience as an MLOps Engineer
Extensive experience working with DevOps and Machine Learning
Ability to work well under pressure in an ambiguous environment
Excellent conversational and written English communication skills