Junior AI/ML Engineer (Data & Cloud Platforms)

Mod Op is seeking a Junior AI/ML Engineer to support data pipeline development, cloud integration, and machine learning initiatives. The role involves working with AWS, GCP, and Azure, using tools like Python, Pandas, and Scikit-learn to build and deploy ML models. This hybrid position requires two days per week in the Dallas office.

• Assist in designing, developing, and maintaining scalable ETL/ELT pipelines across cloud platforms such as GCP, AWS, and Azure.
• Integrate structured and unstructured data sources including CRM systems, marketing platforms, APIs, and internal systems.
• Develop and optimize queries for SQL and NoSQL databases like Teradata, BigQuery, Cassandra, and cloud data warehouses.
• Support the development and deployment of machine learning models using Python and data science libraries (Pandas, NumPy, Scikit-learn) and cloud AI services.
• Build data pipelines for predictive analytics, automation, and AI-driven insights.
• Build and maintain dashboards using Google Looker and Tableau.
• Collaborate with data engineers, analysts, data scientists, and marketing teams.

• Hands-on experience with GCP, AWS, or Azure in data engineering or machine learning environments.
• Strong proficiency in Python with experience using Pandas, NumPy, and Scikit-learn.