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Description:
Tempo is seeking a highly capable machine learning engineer to help build and optimize their machine learning systems.
The role involves evaluating existing machine learning processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of AI software's predictive automation capabilities.
The successful candidate will consult with stakeholders to determine and refine machine learning objectives, design machine learning systems, transform data science prototypes, and ensure algorithms generate accurate user recommendations.
Responsibilities also include developing ML algorithms to analyze historical data, running tests, documenting machine learning processes, and staying updated on developments in machine learning.
Requirements:
Bachelor's degree in computer science, data science, mathematics, or a related field is required.
At least 3 years of experience as a machine learning engineer.
Advanced proficiency in Python, Java, and familiarity with cloud technologies like AWS and GCP.
Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
In-depth understanding of mathematics, statistics, and algorithms.
Strong analytical and problem-solving skills, excellent communication and collaboration abilities, and effective time management and organizational skills.
Knowledge of Feature Stores (Tecton, Feast, etc.) is a nice-to-have.
Benefits:
Remote First work environment.
Perks such as training reimbursement, WFH reimbursement, and more.
Optional in-person meet-ups and the ability to travel to international offices.