Phoenix - Your AI AssistantBuild Custom machine learning model development & fine-tuning
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3 days
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What you get with this Offer
If off-the-shelf AI can't do what you need — because it doesn't understand your domain, your data is proprietary, or you need something more predictable than a general-purpose LLM prompt — I build a model trained specifically for your problem.
This covers a few distinct things depending on what you actually need: fine-tuning an existing LLM (OpenAI, open-source models like Llama or Mistral) on your own data so it responds in your domain's language and format instead of generic output; classic predictive/ML models (classification, regression, forecasting) trained on your structured data for things like churn prediction, demand forecasting, or risk scoring; and NLP or computer vision models for tasks like document classification, entity extraction, or image recognition specific to your use case.
I handle the full pipeline: data preparation and cleaning, model selection and training, evaluation against real metrics (not just "it looks right"), and deployment as an API or integrated directly into your existing application. I'm honest about what a model can and can't reliably do for your data volume — if 200 labeled examples isn't enough for a task you're describing, I'll tell you that up front rather than taking the project and delivering something unreliable.
Deliverables include the trained model, evaluation metrics, and documentation on retraining or updating it as more data comes in.
Features
LLM fine-tuning (OpenAI, Llama, Mistral, or other open-source models)
Predictive ML models: classification, regression, forecasting
NLP: text classification, entity extraction, document understanding
Computer vision: image classification, object detection
Data preparation, cleaning & evaluation against real metrics
Deployment as an API or integrated into your existing app
Documentation for retraining and updating the model
This covers a few distinct things depending on what you actually need: fine-tuning an existing LLM (OpenAI, open-source models like Llama or Mistral) on your own data so it responds in your domain's language and format instead of generic output; classic predictive/ML models (classification, regression, forecasting) trained on your structured data for things like churn prediction, demand forecasting, or risk scoring; and NLP or computer vision models for tasks like document classification, entity extraction, or image recognition specific to your use case.
I handle the full pipeline: data preparation and cleaning, model selection and training, evaluation against real metrics (not just "it looks right"), and deployment as an API or integrated directly into your existing application. I'm honest about what a model can and can't reliably do for your data volume — if 200 labeled examples isn't enough for a task you're describing, I'll tell you that up front rather than taking the project and delivering something unreliable.
Deliverables include the trained model, evaluation metrics, and documentation on retraining or updating it as more data comes in.
Features
LLM fine-tuning (OpenAI, Llama, Mistral, or other open-source models)
Predictive ML models: classification, regression, forecasting
NLP: text classification, entity extraction, document understanding
Computer vision: image classification, object detection
Data preparation, cleaning & evaluation against real metrics
Deployment as an API or integrated into your existing app
Documentation for retraining and updating the model
What the Freelancer needs to start the work
The specific problem you want a model for, and what decision or output it should produce
Your data: format, volume, and whether it's labeled (if not, I'll flag what labeling is needed)
Whether this is LLM fine-tuning, a predictive model, NLP, or computer vision — if unsure, describe the task and I'll recommend the right approach
Accuracy/performance bar that would make this useful in practice (not just "as good as possible")
Where the model needs to run: API, batch job, embedded in an app, edge/on-device
Any existing model or baseline this needs to outperform