Machine Learning Performance Engineer
4 weeks ago
Machine Learning Performance Engineer
As a key member of the MLOps team at Trustpilot, you will collaborate closely with data scientists, software engineers, and other stakeholders to bring machine learning models to life. Your primary focus will be on ensuring the efficient deployment, maintenance, and monitoring of these models in production environments.
Key Responsibilities:
- Collaborate with data scientists to deploy machine learning models from development to production, ensuring quality and scalability.
- Design and implement continuous integration and delivery pipelines to streamline the deployment of machine learning models.
- Monitor the performance of machine learning models post-deployment, ensuring reliability, scalability, and quality over time.
- Work with cross-functional teams to design solutions that meet business needs while adhering to best practices in machine learning and software engineering.
Requirements:
- Solid technical foundation in both machine learning and software engineering.
- Experience deploying machine learning models in production environments.
- Proficiency in Python and relevant ML libraries.
- Familiarity with cloud platforms like GCP, AWS, or Azure.
- Experience with CI/CD pipelines for machine learning.
- Knowledge of monitoring and maintaining models in production.
- Proficiency in employing containerization tools, including Docker.
What We Offer:
- A competitive compensation package and bonus.
- 25 days holiday per year, increasing to 28 days after 2 years of employment.
- Two paid volunteering days a year.
- Rich learning and development opportunities.
- Pension and life insurance.
- Health cash plan and online GP.
- Full access to Headspace and other employee benefits.
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