Software Engineer (AI/ML Data Scientist)

Allied Informatics Inc; Duluth (GA); Hybrid; USD 110,000 - 170,000; Full time

Job summary

Allied Informatics Inc in Duluth, GA is seeking a Software Engineer with an AI/ML data science focus to design, develop, and deploy machine learning models and data-driven applications. The role blends model development with production engineering, working with cross-functional teams to move AI solutions from prototype to production.

You will build data workflows in Python and SQL, create dashboards in Power BI or Tableau, apply Generative AI techniques, containerize with Docker, and deploy on

Qualifications

• Strong Python and SQL proficiency for model development and data workflows.
• Experience with large language model and Generative AI tooling, and with model lifecycle practices.
• Hands-on development experience with cloud platforms and container tooling.

Responsibilities

• Design, develop, and implement AI/ML models, algorithms, and applications.
• Build data and modeling workflows using Python and SQL.
• Analyze large datasets to develop predictive models and automate reporting.
• Develop dashboards and reporting in Power BI and Tableau.
• Apply large language models, Generative AI, and natural language processing techniques to business problems.
• Containerize and deploy models using Docker and cloud platforms.
• Collaborate with cross-functional teams in an Agile environment to deploy AI-driven solutions into production.

Skills

Python

SQL

LLM tooling

Generative AI

Cloud platforms

Docker

NLP

Tools

Power BI

Tableau

Job description

Allied Informatics is seeking a Software Engineer with an AI/ML data science focus to design, develop, and deploy machine learning models and data-driven applications. The role combines model development with production engineering, working alongside cross-functional teams to move AI solutions from prototype into production.

Responsibilities

• Design, develop, and implement AI/ML models, algorithms, and applications.
• Build data and modeling workflows using Python and SQL.
• Analyze large datasets to develop predictive models and automate reporting.
• Develop dashboards and reporting in Power BI and Tableau.
• Apply large language models, Generative AI, and natural language processing techniques to business problems.
• Containerize and deploy models using Docker and cloud platforms.
• Collaborate with cross-functional teams in an Agile environment to deploy AI-driven solutions into production.

Required Qualifications

• Strong Python and SQL proficiency for model development and data workflows.
• Experience with large language model and Generative AI tooling, and with model lifecycle practices.
• Hands-on development experience with cloud platforms and container tooling.

Preferred Qualifications

• Experience with natural language processing and open-source machine learning frameworks.
• Experience building dashboards in Power BI or Tableau.
• Experience deploying and monitoring models in production.
• Working experience on Agile delivery teams.