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Entry LevelFull-timeAWSGCPMachine LearningData ScienceCI/CDAIML
Salary Range
$10,200 - $13,800 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a hands-on, cloud-savvy Machine Learning Engineer with 2+ years of experience to join our Data Science & AI Center of Excellence (CoE).
Key Responsibilities
- →Build and maintain automated ML pipelines for training, testing, deployment, and monitoring of models.
- →Deploy ML models to production using modern MLOps frameworks, CI/CD pipelines, containerization, and orchestration systems.
- →Implement robust model versioning, lineage, reproducibility, and governance practices.
- →Develop monitoring dashboards and alerts for model performance, data drift, feature quality, and service health.
- →Ensure uptime, scalability, and resilience of ML services in real-time, high-traffic environments.
- →Collaborate with Data Engineering to build high-quality feature pipelines, implement feature stores, and optimize data flows for training and inference.
- →Build data validation checks, data quality alerts, and schema enforcement.
- →Design cloud-native ML workflows using AWS/GCP services.
- →Optimize resource usage, cost efficiency, and infrastructure automation for ML workloads.
- →Work with the CoE team to establish MLOps best practices, templates, reusable components, and internal frameworks.
- →Partner with Data Science teams to accelerate model development lifecycle while ensuring compliance and security.
- →Contribute to technical documentation, design reviews, and knowledge-sharing initiatives.
