Machine Learning Engineer ( Freelance / Contract )

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About the Opportunity

hands-on Machine Learning Engineer to work with us on a freelance contract

model transparency

If you’re passionate about translating data into meaningful decisions, love working through ambiguity with curiosity, and can balance high performance with real-world constraints - we’d love to meet you.  

What You’ll Do

🔍 Data Analysis & Feature Engineering

• Perform in-depth 

  exploratory data analysis (EDA)

   to understand the problem space. 
• Partner with data and domain experts to identify relevant features and clean, transform, and prepare data for modeling. 
• Engineer features that capture key patterns, seasonality, and business signals. 

🤖 Model Development

• Build, train, and fine-tune 

  models

   for classification or regression tasks. 
• Apply best practices for model validation and testing using relevant metrics (e.g., AUC, F1, RMSE). 
• Implement cross-validation and avoid common modeling pitfalls like data leakage or overfitting. 

🧠 Model Explainability

• Use tools like 

  SHAP

  , 

  LIME

  , and 

  permutation importance

   to ensure the model is interpretable and justifiable. 
• Generate explainability reports and visualizations for business stakeholders. 
• Collaborate with non-technical partners to make complex model decisions accessible and trustworthy. 

🚀 Model Deployment & Handoff

• Package the final model into a production-ready pipeline using tools like 

  Fast API

  and 

  Docker,

  suitable to be deployed on

  Google Cloud Run and Vertex AI.

   
• Set up logging, monitoring, and performance tracking post-deployment. 
• Write clean, modular code and thorough documentation to ensure a smooth handoff to internal teams. 

You Might Be a Great Fit If You…

• Have a minimum of 

  2 years of production grade experience

   as a ML engineer .
• Have strong experience with 

  XGBoost

   and other gradient boosting frameworks. 
• Are comfortable working in 

  Python

   (pandas, scikit-learn, numpy, etc.). 
• Know your way around 

  data storytelling

   and can explain not just what the model is doing, but why it matters. 
• Enjoy building systems that are not only performant, but 

  maintainable and transparent

  . 
• Have experience with model deployment (Flask, Fast API, Docker, etc.) and understand what it takes to get a model running in the real world. 
• Are proactive, communicative, and collaborative - we value people who take initiative and love sharing what they learn.

Bonus Points For

• Familiarity with 

  MLflow

  , 

  Airflow

  , or other MLOps tools. 
• Experience working with sensitive data or regulated industries (finance, healthcare, etc.). 
• A passion for ethical AI, data fairness, and responsible model development. 
• Experience with working on a freelance contract and self management skills required to deliver as a contractor.

What It’s Like to Work with Us

We believe in autonomy, clear communication, and getting things done without micromanagement. You’ll be joining a friendly, cross-functional team that appreciates sharp thinking, thoughtful code, and people who ask good questions. 

Even though this is a contract role, we treat our collaborators as part of the team — with context, trust, and room to do your best work. 

How to Apply

If this sounds like a match, we’d love to hear from you. 

hr@rawconscious.com