AI/ML Software Engineer: Production ML & NLP

Allied Informatics Inc

Duluth (GA)

Hybrid

USD 110,000 - 170,000

Full time

14 days+
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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 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

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