ML Engineer
Starting at
$
65
/hrAbout this service
Summary
I offer end-to-end machine learning engineering, taking models from concept to production-ready systems that are reliable, measurable, and easy to operate. What makes me unique is my ability to bridge ML, software engineering, and real-world constraints, ensuring solutions deliver consistent value.
Deliverables
Production-ready deliverables
Trained and validated ML models (or fine-tuned foundation models) with versioned artifacts
End-to-end ML pipelines for data preprocessing, training, evaluation, and inference
Integrated deployment (API, service, or edge integration) ready for production use
Performance and evaluation reports (accuracy, latency, robustness, edge cases)
Monitoring and logging setup for model performance and drift
CI/CD workflows for model and service updates
Clear technical documentation (architecture, APIs, training process, limitations)
Handoff and knowledge transfer for maintenance and future iteration
What's included
Production-ready deliverables
Trained and validated ML models (or fine-tuned foundation models) with versioned artifacts End-to-end ML pipelines for data preprocessing, training, evaluation, and inference Integrated deployment (API, service, or edge integration) ready for production use Performance and evaluation reports (accuracy, latency, robustness, edge cases) Monitoring and logging setup for model performance and drift CI/CD workflows for model and service updates Clear technical documentation (architecture, APIs, training process, limitations) Handoff and knowledge transfer for maintenance and future iteration
Industries
Banking & Loans
FinTech & Payments
Healthcare