Machine Learning Engineer
3 months ago
Job Description :
Responsibilities :
- Design the data pipelines and engineering infrastructure to support machine learning systems at scale.
- Take offline models data scientists build and turn them into a real machine learning production system.
- Develop and deploy scalable tools and services to handle machine learning training and inference.
- Identify and evaluate new technologies to improve the performance, maintainability, and reliability of machine learning systems.
- Apply software engineering rigour and best practices to machine learning, including CI/CD, automation, etc.
- Support model development with an emphasis on audibility, versioning, and data security.
- Facilitate the development and deployment of proof-of-concept machine learning systems.
- Automate the deployment and scaling of machine learning models in production.
- Monitor and maintain the performance and accuracy of machine learning models in production.
- Implement continuous integration and delivery pipelines for machine learning models.
- Collaborate with data scientists, software engineers, and other stakeholders to ensure machine learning models' effective deployment and operation.
- Ensure the security, privacy, and compliance of machine learning models and related data.
- Stay up to date with the latest technology and industry trends in MLOps.
Requirements :
- Bachelor's or Master's degree in computer science, Information Technology, or a related field.
- 3+ years of experience in data engineering or a related field.
- Experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer, or equivalent.
- Experience in MLOps tools like MLFlow or Azure Machine Learning.
- Strong software engineering skills in complex, multi-language systems.
- Fluency in Python.
- Experience working with cloud computing and database systems.
- Experience building custom integrations between cloud-based systems using APIs.
- Experience developing and maintaining ML systems built with open-source tools
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