AI & Machine Learning Engineer
OneBlood · St Petersburg, FL
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Jul 19, 2026
St Petersburg, FL
Jul 21, 2026
What this job asks for AI summary
A senior individual-contributor role focused on building and maintaining the full stack of data and AI systems across an organization — from data pipelines and ML model lifecycles to AI agents, RAG applications, and vector search. The work spans problem framing through production deployment, including orchestration, evaluation frameworks, and safety guardrails. Suits an experienced data scientist or ML engineer with strong Python, SQL, and cloud platform skills.
Senior level · 5+ years · National · Bachelor's required
“or” means any one of them counts — you don't need all of them.
Posted 3 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (8)
Location is not specified anywhere in the posting; CBSA and state fields are left blank. The physical and environmental requirements (lifting, outdoor exposure, vehicle operation) are unusual for a data science role and likely reflect a boilerplate template from the hiring organization rather than genuine day-to-day duties.
The role blends data engineering (pipeline development, ETL/ELT, medallion architecture) with data science (ML modeling, statistics) and applied AI/LLM engineering (RAG, agent orchestration, vector search). 15-2051 Data Scientists was chosen as the primary code given the emphasis on ML model development and statistics; 15-1243 Database Architects is the runner-up given the substantial data pipeline and architecture scope.
SSIS is listed as an example ETL tool ('e.g., SSIS or equivalent'); common alternatives are captured in the alternatives field.
Cloud platform requirement lists AWS, Azure, and GCP as interchangeable options; AWS is used as the primary with the others as alternatives.
Master's degree is listed as preferred, not required; the hard minimum is a Bachelor's degree.
CI/CD is described as 'basic CI/CD concepts' in the posting, suggesting familiarity rather than deep expertise, but it appears in the required qualifications block.
No compensation, employment type, or work location details are provided in the posting.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): medallion architecture.
Read the full posting
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