Job Description
Join a thriving pre-IPO tech company as a Machine Learning Engineer focused on AI innovations. You'll develop scalable ML systems that redefine how products analyze and use data.
This role offers a unique opportunity to blend applied research and engineering efforts. Collaborate with interdisciplinary teams to build and optimize machine learning pipelines while leveraging cloud infrastructure for large-scale algorithms and deployments. Your work will significantly impact the company's success as it approaches IPO.
Key Responsibilities: • Prototype, train, and evaluate machine learning models • Productionize ML by optimizing deployment workflows • Design cloud-based infrastructure for ML systems • Run A/B tests and online learning to assess performance • Collaborate with data engineers for high-quality data
Requirements: • 4-8 years of professional ML engineering experience • Expertise in Python and relevant libraries • Knowledge of deep learning and recommend...
This role offers a unique opportunity to blend applied research and engineering efforts. Collaborate with interdisciplinary teams to build and optimize machine learning pipelines while leveraging cloud infrastructure for large-scale algorithms and deployments. Your work will significantly impact the company's success as it approaches IPO.
Key Responsibilities: • Prototype, train, and evaluate machine learning models • Productionize ML by optimizing deployment workflows • Design cloud-based infrastructure for ML systems • Run A/B tests and online learning to assess performance • Collaborate with data engineers for high-quality data
Requirements: • 4-8 years of professional ML engineering experience • Expertise in Python and relevant libraries • Knowledge of deep learning and recommend...
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