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Machine Learning Engineer | Remote
Crossing HurdlesUnited States
ResponsibilitiesDesign, develop, and deploy machine learning models to address complex business challenges. Collaborate with cross‑functional teams to gather requirements, define data pipelines, and d
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Machine Learning Ops Engineer | Remote | $90 -$140/hr
Call For ReferralSan BernardinoAbout The Role This role focuses on advancing next-generation AI systems through large-scale ML infrastructure, training optimization, and framework-level engineering. The work involves supporting cut
Machine Learning Engineer, Images
Cantina LabsSan FranciscoAbout Cantina Cantina Labs is a social AI company, developing a suite of advanced real‑time models that push the boundaries of expression, personality, and realism. We bring characters to life, transf
Machine Learning Ops Engineer | Remote | $90 -$140/hr
Call For ReferralFontanaAbout The Role This role focuses on advancing next-generation AI systems through large-scale ML infrastructure, training optimization, and framework-level engineering. The work involves supporting cut
Machine Learning Ops Engineer | Remote | $90 -$140/hr
Call For ReferralRiversideAbout The Role This role focuses on advancing next-generation AI systems through large-scale ML infrastructure, training optimization, and framework-level engineering. The work involves supporting cut
À propos
Design, develop, and deploy machine learning models to address complex business challenges. Collaborate with cross‑functional teams to gather requirements, define data pipelines, and deliver impactful AI solutions. Implement, optimize, and maintain ETL processes for efficient data ingestion, transformation, and management. Utilize Python and relevant libraries to create clean, efficient, and reusable code for AI and machine learning applications. Continuously monitor, evaluate, and enhance the performance and accuracy of deployed models. Document processes, methodologies, and model decisions to ensure transparency and reproducibility. Requirements
Have expert‑level proficiency in machine learning techniques and algorithms. Possess advanced programming skills in Python and its data science ecosystem, including libraries such as NumPy, pandas, and scikit-learn. Have hands‑on experience designing and managing ETL workflows in production environments. Have a strong understanding of data preprocessing, feature engineering, and model evaluation metrics. Demonstrate a proven ability to collaborate and thrive in remote, distributed team settings.
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Compétences linguistiques
- English
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