MLOps Support Engineer
New
C
CloudFactoryAI/ML Operations
Kathmandu, Bagmati Province, Nepal. Medellín, Medellin, Colombia, 07:45 – 16:45 NPT (Nepal); 9am to 9pm ColombiaFull-TimeJunior
Salary not disclosed
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Job Details
- Experience
- Early career
- Required Skills
- AWSPythonSQLBashGCPGitAzureDevOpsMLOps
Requirements
- Experience in operations, DevOps, SRE, or platform support roles.
- Strong troubleshooting skills in production environments.
- Proficiency in SQL and scripting (Python, Bash).
- Familiarity with Cloud-hosted systems (AWS, GCP, Azure).
- Solid understanding of Git version control.
- Comfortable working from runbooks and structured processes.
- Early career in MLOps or ML Engineering.
- Background in computer science, informatics, or related fields.
- Exposure to AI/ML systems in production is desirable.
- Familiarity with monitoring and observability tools like Grafana, PowerBI, or New Relic.
- Knowledge of MLOps tooling (MLFlow, Databricks) and containerization (Kubernetes) is a plus.
Responsibilities
- Provide Tier 1 / Tier 2 operational support for AI/ML solutions.
- Identify failed jobs, degraded pipelines, or performance anomalies.
- Triage incidents, investigate issues, and coordinate escalation to Tier 3 Engineering.
- Participate in on-call rotas.
- Validate that pipelines and jobs complete successfully.
- Monitor data pipeline health, model execution, and basic performance metrics.
- Support incident management, rollback, and recovery activities.
- Maintain runbooks and operational documentation.
- Monitor for model drift and performance degradation while validating for bias.
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