Junior AI/ML Engineer (Data & Cloud Platforms) is a AI Engineer role (full-time). with Mod Op. in DALLAS, US. Imported listing (source: linkedin.com). Apply on the employer's site (linkedin.com).
Imported listing (source: linkedin.com) · Apply on linkedin.com
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Imported job description
Sourced from linkedin.com
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.
Responsibilities
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.
Requirements
Hands-on experience with GCP, AWS, or Azure in data engineering or machine learning environments.
Mod Op is a full-service marketing and advertising agency that merges human creativity with data science and AI. It provides integrated end-to-end marketing solutions, including strategy, creative development, and digital experience design.