ML Engineering & MLOps
Models that survive contact with real, messy data.
Included
- +Predictive modelling + anomaly detection
- +Computer vision pipelines (transfer learning)
- +AWS Lambda / Azure ML deployment
- +CI/CD pipeline for model versioning
- +Model monitoring + drift detection
- +Evaluation report + benchmarks
- +3 weeks post-launch support
Starting from
On request
~ 3 to 6 weeks
Request a proposal
Budget
Timeline