Machine Learning Engineer
Core
Design, develop, and implement machine learning models for classification, regression, NLP, and computer vision applications, while building scalable ML pipelines.
Role type
Machine Learning Engineer
Builds
Production ML models and scalable machine learning pipelines
Domain
Machine Learning
Deliverable
production ML models
Required skills
Machine Learning, Feature Engineering, Hyperparameter Tuning, Model Selection, Data Cleaning, Preprocessing, Feature Extraction, Data Pipeline Development
Responsibilities
Design and implement ML models, deploy and maintain models in production, optimize model performance, build and maintain scalable ML pipelines, develop and maintain data pipelines for ingestion and transformation
Seniority
Individual Contributor
Full job description
Design, develop, and implement machine learning models for various applications (e.g., classification, regression, natural language processing, computer vision).
Deploy and maintain machine learning models in production environments.
Optimize model performance and efficiency through feature engineering, hyperparameter tuning, and model selection.
Build and maintain scalable machine learning pipelines.
Data Engineering and Management
Work with large datasets, including data cleaning, preprocessing, and feature extraction.
Develop and maintain data pipelines for data ingestion, transformation, and storage.
Ensure data quality and consistency.
Skills
- Machine Learning (ML)