I will be your machine learning engineer to build and deploy custom ai models
AI Engineer LLM RAG FastAP React NestJS
About this Gig
Need a machine learning engineer who delivers production-ready AI, not just theory?
I'm a professional machine learning engineer who builds end-to-end ML systems tailored to your business problem. Whether you're a startup hiring a machine learning engineer for the first time or a company scaling your AI, I'll get it done right.
What I deliver as your machine learning engineer:
Custom ML models classification, regression, clustering
NLP pipelines: sentiment analysis, text classification, NER
LLM apps, RAG systems, fine-tuning, prompt engineering
Computer vision object detection, image classification, OCR
Time-series forecasting and anomaly detection
MLOps training, evaluation, versioning, API deployment
Stack: Python , PyTorch , TensorFlow , HuggingFace , LangChain , FastAPI , Docker , Streamlit, AWS , GCP, kaggle, google colab
Every machine learning engineer delivery includes clean code, evaluation metrics, and a full walkthrough. Message me before ordering, I'll scope the right solution for you.
My Portfolio
FAQ
What does a machine learning engineer do in this gig?
As your machine learning engineer, I handle everything — from understanding your business problem to delivering a working AI model. That includes data analysis, model design, training, evaluation, and deployment. You don't need ML knowledge; just share your goal and I'll engineer the full solution.
Why hire a machine learning engineer instead of AutoML?
AutoML tools lack flexibility and custom optimization. A machine learning engineer designs solutions for your exact data, tunes for your business metrics, handles edge cases, and delivers maintainable code — not a black-box output. The result is a system built to scale with your product, not just a
What info do I share with the machine learning engineer?
Share your dataset (CSV, JSON, or Drive link), your goal (e.g., "predict churn", "classify images"), and any tech or budget constraints. The more context you give your machine learning engineer upfront, the faster and better the result. Not ready? Message me first and we'll scope it together.
Can the machine learning engineer work with LLMs and RAG?
Yes , LLM engineering is a core specialty. As your machine learning engineer, I build RAG pipelines using your documents, fine-tune open-source models (LLaMA 3, Mistral, Phi-3) with LoRA/QLoRA, and integrate OpenAI, Anthropic, or Gemini APIs into your product. Available in the Premium package.
Will the machine learning engineer deploy my model too?
Yes. The stand package includes a FastAPI endpoint or Streamlit app running locally. Premium includes full cloud deployment on AWS or GCP: accessible via a public URL with auth. Your machine learning engineer handles all setup so you or your team can start using the model immediately after delivery.
Do I own the code the machine learning engineer writes?
100% yes. Every line of code, model weight, and notebook your machine learning engineer produces is yours — full intellectual property, no strings attached. You get the source code, documentation, and complete freedom to build on top of it, resell it, or hand it to your dev team.
Can the machine learning engineer handle messy data?
Absolutely. Data cleaning is part of every machine learning engineer's core workflow and is included in all packages. Missing values, outliers, imbalanced classes, inconsistent formats all handled. If data quality is too limited to build reliably, your machine learning engineer will flag it before
Can I hire the machine learning engineer on a retainer?
Yes. If you need a machine learning engineer for ongoing model improvements, new feature development, or long-term MLOps, message me before ordering. I'll send a custom offer with a clear scope, timeline, and discounted rate. Long-term clients get priority turnaround and dedicated support.

