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I will provide end to end machine learning application development and cloud deployment
About this Gig
Elevate your machine learning projects with our all-encompassing MLOps services, designed for large-scale companies with cloud backgrounds.
Why choose us:
- Multiple certifications from leading institutions, ensuring top-quality service.
- Comprehensive data management using AWS S3, GCP Storage, and Azure Blob Storage
- Model training and deployment with AWS SageMaker, GCP AI Platform, and Azure ML
- Serverless technologies implementation with AWS Lambda, GCP Functions, and Azure Functions
- Containerization with Docker and Kubernetes for efficient and scalable solutions
- Automated CI/CD pipeline using AWS CodePipeline, GCP Cloud Build, and Azure DevOps for seamless model deployment
- Custom model building and deployment, ensuring optimal efficiency and error reduction
- Experience in working on advanced python architectures like Pytorch, Tensorflow & Keras.
- End-to-end MLOps solutions tailored for production-ready machine learning systems.
ML - Cloud Services:
- Classification
- Regression
- Clustering
- Time Series
- Object Detection
- Natural Language Processing
- Sentiment Analysis
- Customer Analytics
- AWS SageMak
- CHATGPT/ GPT3/GROK/GEMINI
Note: Please Do Contact usbefore Placing an Order.
Programming language:
Python
•
Colab
•
MLflow
•
Amazon SageMaker
•
Julia
Frameworks:
Scikit-learn
•
DeepPy
•
Google ML Kit
•
PyTorch
•
Panda
My Portfolio
FAQ
What do I need to get started?
ust your dataset and a clear goal (e.g., prediction, classification, detection). I’ll handle the rest, including preprocessing, model building, and deployment.
Which cloud platforms do you support?
I support AWS, GCP, and Azure — including services like SageMaker, Vertex AI, and Azure ML.
Can you deploy the model as an API?
Yes, I can deploy your model with FastAPI or Flask and host it on cloud platforms for real-time access.
Do you provide source code and documentation?
Absolutely. You'll receive clean code, deployment scripts, and documentation for easy maintenance.
Can you integrate with our existing cloud infrastructure and data pipelines? (IMPORTANT)
Yes, I can align with your existing AWS/GCP/Azure setup, integrate with internal APIs, databases, and CI/CD pipelines for a smooth transition.
Do you offer ongoing support or long-term collaboration?
Yes, I offer post-deployment support and can work on a retainer or milestone basis for long-term MLOps, model updates, and scaling.
