Optomi
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 4–5 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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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 4–5 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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