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Machine Learning Engineer | Remote
- New York, New York, United States
- New York, New York, United States
À propos
Architect, implement, and optimize advanced machine learning algorithms and systems tailored to business needs.
Collaborate closely with cross‑functional stakeholders to identify opportunities for AI‑driven improvements.
Develop and manage robust data pipelines utilizing MongoDB to facilitate seamless data processing and retrieval.
Evaluate model performance with thorough A/B testing and continuous monitoring, iterating for maximum impact.
Document technical processes and model architectures with clarity to support internal knowledge sharing.
Translate complex technical concepts to both technical and non‑technical audiences, ensuring alignment and understanding across the team.
Uphold best practices in code quality, version control, and scalable deployment.
Requirements
Expert proficiency in Python for designing and deploying machine learning models.
Demonstrated experience with core machine learning frameworks and libraries.
Strong hands‑on expertise with MongoDB for data storage, querying, and management.
Deep understanding of modern machine learning concepts, algorithms, and industry applications.
Proven ability to work autonomously and efficiently in a fully remote setting.
Track record of delivering complex machine learning projects from concept to production.
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Compétences linguistiques
- English
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