NEOTAM

$165/hr

Senior Machine Learning Engineer

Custom ML model development, MLOps implementation, and production ML system deployment

End-to-end machine learning pipeline development
Service Overview

Comprehensive machine learning engineering services from model development to production deployment. Specializing in MLOps, model optimization, and scalable ML infrastructure.

Key Services
  • Custom ML model development
  • MLOps pipeline implementation
  • Model training and optimization
  • Production ML deployment
  • Model monitoring and maintenance
  • Data pipeline development
  • Feature engineering and selection
  • Model performance optimization
Deliverables
  • Custom machine learning models
  • MLOps pipeline infrastructure
  • Model deployment framework
  • Performance monitoring system
  • Data processing pipelines
  • Documentation and training materials
Process Steps
1
Data analysis and preparation
2
Model development and training
3
MLOps pipeline setup
4
Model validation and testing
5
Production deployment
6
Monitoring and maintenance setup
Timeline

8-20 weeks for complete ML solution

Experience

8+ years in machine learning and data science

Tools
Python
TensorFlow
PyTorch
+3 more
Certifications
AWS ML Specialty
Google Cloud ML Engineer
+1 more
Requirements
What we need to get started with your project
Training data availability
Business requirements and metrics
Infrastructure and platform details
Performance and scalability requirements

Ready to Get Started?

Contact us to discuss your specific requirements and get a customized proposal for your senior machine learning engineer needs.