Junior AI​/ML Engineer; Data & Cloud Platforms

Mod Op is a full-service advertising agency able to offer clients a full suite of solutions. Mod Op can offer you access to low-cost, high-quality health care options and a team of enthusiastic, collaborative and motivated coworkers who see career development and personal development as intertwined.

At Mod Op, we’re more than just an agency—we’re a team of forward-thinking professionals who are passionate about driving client success. We believe in fostering meaningful relationships, collaborating across disciplines, and delivering impactful solutions that help businesses grow. If you are a strategic thinker with a passion for building lasting client partnerships, we’d love to hear from you. Join us and be part of a company that values innovation, creativity, and excellence in everything we do.

As a Junior AI/ML Engineer (Data & Cloud Platforms) with 1–2 years of experience , you will support the development of scalable data systems and contribute to AI and machine learning initiatives. This role combines data engineering, cloud technologies, and machine learning implementation to help build intelligent data-driven solutions.

You will work with AWS, GCP, and Azure cloud services , integrate with CRM and marketing platforms, and support analytics and AI solutions through tools such as Google Looker and Tableau . The role will involve working with both data pipelines and machine learning workflows to enable advanced analytics and automation.

The position operates under a hybrid work model , requiring in-office presence at the Dallas, TX location two days per week , with the remaining days worked remotely.

• Data Pipeline Development:
  Assist in designing, developing, and maintaining scalable ETL/ELT pipelines across cloud platforms such as GCP, AWS, and Azure , using services like Dataflow, Cloud Composer (Airflow), Azure Synapse, and AWS Data Pipelines .
• Data Integration:
  Work with structured and unstructured data sources, including CRM systems, marketing platforms, APIs, and internal business systems , to support analytics and AI-driven applications.
• Database Management:
  Develop and optimize queries for SQL and No
  
  SQL databases such as Teradata,
  Big Query, Cassandra, and cloud data warehouses .
• Machine Learning Implementation:
  Support the development and deployment of machine learning models using Python and data science libraries (Pandas, Num Py, Scikit-learn) and cloud AI services such as GCP Vertex AI, AWS Sage Maker, or Azure ML .
• AI-Enabled Data Workflows:
  Assist in building data pipelines that support predictive analytics, automation, and AI-driven insights .
• Data Visualization:
  Build and maintain dashboards using Google Looker and Tableau to help business and marketing teams understand and act on data insights.
• Collaboration:
  
  Work closely with data engineers, analysts, data scientists, and marketing teams to understand business requirements and support the development of data and AI solutions.

• Cloud Platforms:
  Hands-on experience with GCP, AWS, or Azure , particularly in data engineering or machine learning environments.
• Programming
  
  Skills:
  
  Strong proficiency in Python with experience using data processing and machine learning libraries such as Pandas, Num Py, and Scikit-learn .
• Database
  
  Experience:
  
  Experience working with SQL and No
  
  SQL databases , including platforms such as Big Query, Teradata, Cassandra, or similar technologies .
• Data Visualization:
  Experience building dashboards and reports using Google Looker or Tableau .
• Machine Learning Knowledge:
  Basic understanding of machine learning workflows, model training, evaluation, and deployment in cloud environments .
• Data Automation & Transformation:
  
  Experience with
  Alteryx or similar…