MLOps Engineer - Remote

Overview

The MLOps Engineer will ensure the quality of the end-to-end lifecycle of AI solutions, collaborating closely with team members to build and deliver AI-powered applications efficiently and reliably.

In Short

• Ensure quality of AI solutions from data preparation to deployment.
• Collaborate with AI Tech Lead and team members.
• Advise on automation and optimization of AI application deployment.
• Develop and maintain AI-powered applications and ML pipelines.
• Implement CI/CD for AI solutions.
• Monitor model performance and data quality.
• Collaborate with data engineers and scientists.
• Ensure scalability and reliability of AI infrastructure.
• Keep practices up to date with MLOps standards.
• Share knowledge with the team.

Requirements

• Fluency in OOP languages like C# or Java.
• Experience with Python or R.
• Understanding of the machine learning project lifecycle.
• Proficiency with tools like Jenkins.
• Experience with AWS Cloud Platform.
• Proficiency in SQL and Spark SQL.
• Experience with Docker and Kubernetes.
• Experience with software build and release processes.
• Experience using Git source control.
• Passion for ML/AI.

Benefits

• Equal opportunities and merit-based promotions.
• Diversity contributes to creativity and excellence.
• Open to people with disabilities.