Machine Learning Operation Analyst
Core
Build and maintain systems to track model performance, automate data pipelines, and ensure ML systems run smoothly and scale effectively.
Role type
Senior MLOps Analyst
Builds
Automated data pipelines, model monitoring systems, and scalable model serving workflows
Domain
Consumer intelligence, retail analytics, and market research
Deliverable
production ML models
Required skills
Python, SQL, ML lifecycle management, model performance metrics, monitoring tools (Kibana, Grafana, OpenSearch, Looker), version control (GitLab, GitHub), cloud platforms (GCP), containerization (Docker, Kubernetes), workflow orchestration (Airflow, Kubeflow)
Preferred skills
AWS, Azure, market research domain knowledge
Technologies
Python, SQL, GitLab, MS Excel, Kibana, Grafana, OpenSearch, Looker, Docker, Kubernetes, Airflow, Kubeflow, GCP, Power Automate
Responsibilities
Monitor and optimize ML models for performance and output quality; Automate and scale data pipelines and model serving workflows; Troubleshoot ML systems and implement fixes; Champion MLOps best practices and code quality; Collaborate with data scientists, engineers, and product teams
Seniority
Senior, hands-on IC
