Machine Learning Engineer

About BeGig

BeGig is the leading tech freelancing marketplace. We empower innovative, early-stage, non-tech founders to bring their visions to life by connecting them with top-tier freelance talent. By joining BeGig, you're not just taking on one role—you’re signing up for a platform that will continuously match you with high-impact opportunities tailored to your expertise.

Your Opportunity

Join our network as a Machine Learning Engineer and help startups build intelligent systems that learn from data and drive business outcomes. You'll work on real-world use cases across recommendation engines, predictive analytics, personalization, and generative AI—contributing to models that power scalable products.

Role Overview

As a Machine Learning Engineer, you will:

• Design, develop, and deploy machine learning models tailored to specific business needs
• Build end-to-end ML 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 frameworks like scikit-learn, XGBoost, PyTorch, or TensorFlow
• Handle data wrangling, feature engineering, and model optimization
• Set up automated ML workflows and performance monitoring
• Deploy models using APIs, cloud services, or containerized environments
• Continuously improve accuracy, scalability, and runtime efficiency

Technical Requirements

• 3+ years of experience in ML engineering or applied data science
• Proficient in Python and ML frameworks such as scikit-learn, TensorFlow, or PyTorch
• Experience working with structured, unstructured, or time-series data
• Familiarity with cloud platforms (AWS, GCP, Azure) and model deployment tools
• Bonus: experience with MLOps tools like MLflow, Airflow, or Kubeflow

What We’re Looking For

• A problem-solving engineer who knows how to translate data into insights and actions
• A freelancer who can own ML components end-to-end and communicate clearly with stakeholders
• Someone who thrives in agile, product-focused startup environments

Why Join Us

• Build ML solutions that make a real impact on products and users
• Fully remote and flexible freelance opportunities
• Get matched with future ML roles across a range of industries and use cases
• Join a forward-looking network shaping the future of applied machine learning

Ready to turn data into intelligent action? Apply now to become a Machine Learning Engineer with BeGig.