Senior MLOps Engineer (Remote, Anywhere in Pakistan, USD Salary)
Tasks
- Automate model retraining strategies
- Build production grade ML pipelines on Databricks
- Design low latency inference and scalable model serving
- Develop real time and streaming data pipelines
- Implement CI/CD pipelines for ML workflows
- Model versioning experiment tracking and reproducibility
- Monitor model performance and data drift
- Operationalize ML models deployment monitoring and lifecycle management
- Optimize distributed workload performance scalability and cost
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | Apache Spark | Azure | B testing | CI/CD | Databricks | Delta Lake | Docker | ELK Stack | Event Driven | Event-driven architecture | Experimentation | Feature Store | Infrastructure as Code | Kafka | Kubernetes | LLM Deployment | Low Latency | Low Latency APIs | MLflow | Model Serving | Observability | Python | RBAC | Security Governance | Snowflake | Terraform | “as-code”
Education
N/A
Roles
Engineer | MLOps Engineer | Senior MLOps | Senior MLOps Engineer
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