Machine Learning Engineer | Freelance | WFH

About BeGig

tech freelancing marketplace

Your Opportunity

Machine Learning Engineer

Role Overview

As a Machine Learning Engineer, you will:

• Design, develop, and deploy ML models tailored to business needs.
• Build end-to-end pipelines from

  data preprocessing to inference

  .
• Collaborate with cross-functional teams to integrate models into production systems.

What You’ll Do

• Train and evaluate models using

  scikit-learn, XGBoost, PyTorch, or TensorFlow

  .
• Perform

  data wrangling, feature engineering, and model optimization

  .
• Automate ML workflows and monitor performance.
• Deploy models via

  APIs, cloud services, or containerized environments

  .
• Continuously improve accuracy, scalability, and efficiency.

Technical Requirements

• 3+ years of experience

  in ML engineering or applied data science.
• Strong Python skills; experience with

  scikit-learn, TensorFlow, or PyTorch

  .
• Hands-on experience with

  structured, unstructured, or time-series data

  .
• Familiarity with

  AWS, GCP, or Azure

  for ML deployment.
• Bonus: knowledge of

  MLOps tools

  such as MLflow, Airflow, or Kubeflow.

What We’re Looking For

• A problem-solver who can

  translate data into actionable insights

  .
• A freelancer comfortable owning ML components

  end-to-end

  .
• Someone who thrives in

  agile, product-driven startup environments

  .

Why Join Us

• Work on

  impactful ML projects

  across industries.
• Enjoy

  fully remote and flexible freelance opportunities

  .
• Get matched with

  future ML roles

  in diverse use cases.
• Join a forward-looking network shaping the

  future of applied ML

  .

Ready to turn data into intelligent action?