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AI/ML Engineer (Atlanta)
AI/ML Engineer (Atlanta)Optomi • Atlanta, GA, US
AI / ML Engineer (Atlanta)

AI / ML Engineer (Atlanta)

Optomi • Atlanta, GA, US
17 hours ago
Job type
  • Part-time
Job description

Title : AI / ML Engineer

Location : Austin, TX or Atlanta, GA (100% Remote)

Employment Type : Contract to hire

Optomi, in partnership with a leading retail company is seeking an AI / ML Engineer to build, deploy, and scale ML solutions in enterprise environments. The ideal candidate will have a strong foundation in machine learning, cloud technologies, and microservices architecture, with a passion for solving complex business problems through intelligent automation and data-driven decisioning.

Qualifications :

  • 10+ years of total software engineering experience, with 45 years focused on Machine Learning.
  • Strong experience in GCP, including Pub / Sub, BigQuery, and Vertex AI / Studio.
  • Solid background in Spring Boot and building microservices architectures.
  • Hands-on experience with testing frameworks (e.g., JUnit, PyTest).
  • Proven ability to deliver ML solutions in enterprise-scale environments.

Job Responsibilities :

  • Design, build, and deploy ML models and agents to scan large-scale datasets and generate actionable recommendations.
  • Develop and maintain microservices supporting AI / ML pipelines and decision logic.
  • Work on proofs of concept to re-engineer and optimize existing software systems.
  • Develop decision tree logic and integrate results into a data lake architecture.
  • Ensure ML models are production-ready, scalable, and performant within enterprise systems.
  • Collaborate with cross-functional teams, including data scientists, platform engineers, and business stakeholders, to deliver end-to-end solutions.
  • Utilize GCP services such as Gemini, Vertex Studio, BigQuery, and Pub / Sub for ML development and orchestration.
  • Contribute to continuous improvement through code reviews, test automation, and agile ceremonies.
  • Lead POC efforts, analyze outcomes, tune model results, and support enterprise rollouts.
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