· 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 recent 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 contemporary CI/CD and MLOps best practices.
· Solid problem-solving and analytical skills.
· Proven track record of working independently and as part of a distributed global team.