I will build and deploy your machine learning model with mlops
Data and AI Engineer
About this Gig
Do you have data but need a machine learning model that actually works in production not just in a notebook?
I design, train, tune, and deploy machine learning models tailored to your data and business problem, with a focus on accuracy, reliability, and real-world performance.
What I can help with:
- Classification, prediction, and anomaly detection models
- Feature engineering and data preprocessing
- Hyperparameter tuning for optimal model performance
- Experiment tracking and model versioning with MLflow
- Model deployment via API (FastAPI) for real-world use
- Automated monitoring and retraining pipelines for production systems
- Sentiment analysis and NLP-based classification tasks
Why work with me:
I combine a strong data engineering foundation with hands-on MLOps experience meaning I don't just hand you a model, I help you get it running reliably in production, with proper tracking, monitoring, and retraining in place as your data evolves.
I've built end-to-end MLOps systems covering the full lifecycle: from experiment tracking and validation to deployment and automated drift-based retraining.
Before ordering:
Message me with your dataset, problem type (classification, prediction, etc.),
Programming language:
Python
•
SQL
•
MLflow
Tools:
Jupyter Notebook
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OpenCV
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TensorFlow
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Excel
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MLflow
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Other
Technology:
Python
•
TensorFlow
•
OpenCV
•
Keras
•
scikit-learn
•
MLflow
