Freelance Data Engineer (AI & ML Focus) – US / Canada Only

We are looking for an experienced Data Engineer based in the United States or Canada with deep expertise in Data Engineering, AI, and Machine Learning, and strong hands-on experience with MCP, to support ongoing and upcoming projects.

This engagement will start with no minimum hours, allowing flexibility on both sides, with the potential to scale hours over time based on project needs and performance.

Responsibilities

• Design and maintain scalable ETL/ELT data pipelines
• Build and optimize data lakes and data warehouses
• Develop and manage MCP-based data and AI workflows
• Prepare, validate, and manage data for AI/ML model training and deployment
• Implement feature engineering and data quality checks
• Support MLOps pipelines, model deployment, and monitoring
• Work with large-scale batch and real-time data systems

Required Skills

• Strong experience in Data Engineering (Python, SQL, PySpark)
• Proven hands-on experience with MCP
• Solid understanding of AI/ML data pipelines and workflows
• Cloud platforms: AWS, GCP, or Azure
• Big data tools: Spark, Databricks, Kafka, Airflow
• Data warehouses: Snowflake, BigQuery, Redshift
• Experience building production-grade, scalable data systems

Nice to Have

• Experience with NLP, forecasting, recommendation systems
• Familiarity with CI/CD, MLOps, and model monitoring
• Prior experience working with US or Canadian clients

Job Type: Contract

Pay: From $26.28 per hour

Work Location: Remote