MLOps Engineer - System Focus

Responsibilities

· Web UI Development

o Design and develop web-based dashboards for monitoring ML inference services.

o Design and develop web-based tools to manage and visualize the Search CI/CD and release workflows.

· Model Lifecycle Management

o Onboard new ML models onto the existing platform with standardized training automation and interfaces 

· CI/CD & Deployment Operations

o Maintain and enhance CI/CD pipelines for Search and ML services 

o Operate sign-off and deployment processes, ensuring daily release sign-off

· Big Data Pipeline Management

o Maintain and optimize training data preparation pipelines leveraging the latest big data tools with an emphasis on cost-effectiveness and reliability.

Key Qualifications

· Bachelor's degree in Computer Science, Engineering, or a related field.

· Minimum 5+ years of experience in software engineering with a focus on full-stack development and infrastructure.

· Full-stack development expertise, including front-end frameworks (React) and backend services (Java, Python).

· Hands-on experience in DevOps and systems engineering. In-depth understanding of Linux environments, AWS EKS, Kubernetes.

· Familiarity with modern CI/CD and MLOps best practices.

· Strong problem-solving and analytical skills.

· Proven track record of working independently and as part of a distributed global team.