Junior AI/ML Engineer - Data & Cloud Platforms (Hybrid)

Mod Op

Dallas (TX)

Hybrid

USD 70,000 - 95,000

Full time

39 hours ago
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Benefits offered by this job

Hybrid work model
Health insurance options

Job summary

Mod Op is seeking a Junior AI/ML Engineer (Data & Cloud Platforms) in Dallas with 1-2 years of experience to support scalable data systems and AI initiatives. You will work across AWS, GCP, and Azure, integrating CRM and marketing data while contributing to analytics and automation.

The role combines data engineering, cloud tech, and ML, requiring collaboration with engineers and marketing teams; it follows a hybrid model with in-office presence in Dallas two days per week.

Qualifications

  • Cloud platforms experience (GCP/AWS/Azure).
  • Python with data processing and ML libraries (Pandas, NumPy, Scikit-learn).
  • SQL/NoSQL experience (BigQuery, Teradata, Cassandra).
  • Experience building dashboards in Looker or Tableau.
  • Basic understanding of ML workflows, training, evaluation, deployment.

Responsibilities

  • Design, develop, and maintain scalable ETL/ELT pipelines across cloud platforms.
  • Integrate data from CRM systems, marketing platforms, APIs, and internal systems.
  • Develop queries for SQL/NoSQL databases and cloud data warehouses.
  • Support ML model development and deployment in cloud environments.
  • Build and maintain dashboards to aid business insights.

Skills

Python
Cloud platforms
Data engineering
SQL/NoSQL
Looker/Tableau

Education

Bachelor's degree in Computer Science or related

Tools

GCP
AWS
Azure
BigQuery
Tableau/Looker
Pandas/NumPy/Scikit-learn

Job description

Mod Op is seeking a Junior AI/ML Engineer (Data & Cloud Platforms) in Dallas with 1-2 years of experience to support scalable data systems and AI initiatives. You will work across AWS, GCP, and Azure, integrating CRM and marketing data while contributing to analytics and automation.

The role combines data engineering, cloud tech, and ML, requiring collaboration with engineers and marketing teams; it follows a hybrid model with in-office presence in Dallas two days per week.

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