Junior AI/ML Engineer (Data & Cloud Platforms)

re-zoo-me; Dallas, Northern (TX, KY); Hybrid; USD 85,000 - 120,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Mod Op, LLC is seeking a Junior AI/ML Engineer (Data & Cloud Platforms) with 1–2 years of experience to help build scalable data systems and AI initiatives. You will work across data pipelines, cloud services, and ML workflows to deliver data-driven solutions.

This hybrid role requires in‑office presence in Dallas, TX two days per week, with the rest remote. You will collaborate with data engineers, analysts, and marketing teams to implement ETL/ELT pipelines, dashboards, and ML models using

Qualifications

• Hands-on experience with at least one cloud platform (GCP, AWS or Azure).
• Strong Python and data science libraries (Pandas/NumPy/Scikit-learn).
• Experience with SQL/NoSQL databases for data engineering tasks.
• Experience building dashboards with Looker or Tableau.
• Familiarity with ML workflows and cloud ML services.

Responsibilities

• Design, develop and maintain scalable ETL/ELT pipelines across cloud platforms (GCP, AWS, Azure).
• Integrate structured and unstructured data from CRM and marketing platforms for analytics.
• Develop and optimize queries for SQL/NoSQL databases.
• Support ML model development, training and deployment in cloud environments.
• Build dashboards to communicate insights to business and marketing teams.

Skills

Python

Pandas/NumPy/Scikit-learn

Data engineering

Cloud platforms (GCP/AWS/Azure)

SQL

Tools

Looker

Tableau

Dataflow

Airflow

BigQuery

Teradata

SageMaker

Vertex AI

Job description

About Mod Op

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.

About The Role

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.

What You'll Do

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 NoSQL databases such as Teradata, BigQuery, Cassandra, and cloud data warehouses.

Machine Learning Implementation

Support the development and deployment of machine learning models using Python and data science libraries (Pandas, NumPy, Scikit-learn) and cloud AI services such as GCP Vertex AI, AWS SageMaker, 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.

Required Qualifications

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, NumPy, and Scikit-learn.

Database Experience

Experience working with SQL and NoSQL databases, including platforms such as BigQuery, 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 tools for workflow automation and data preparation.

Preferred Qualifications

Experience with data warehousing platforms

Experience with data warehousing platforms such as Snowflake or Redshift.

Exposure to Apache Spark, Airflow, or other orchestration tools

Exposure to Apache Spark, Airflow, or other orchestration tools.

Familiarity with MLOps practices and cloud-based ML platforms

Familiarity with MLOps practices and cloud-based ML platforms.

Understanding of data governance, security, and compliance practices

Understanding of data governance, security, and compliance practices.

Relevant certifications such as Google Cloud Professional Data Engineer or Machine Learning certifications

Relevant certifications such as Google Cloud Professional Data Engineer or Machine Learning certifications.

Mod Op, LLC provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.