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72 Eteam Full Stack Python Developer Jobs Hiring Near You

Full-stack AI Correlation Engineer Location: Columbus, OH (Onsite) Duration: 10 Months of Contract ... The delivery requires significantly broader engineering skills - Python async programming, Fast API ...

Full Stack Engineer Location: Columbus, OH Onsite Duration: 9+ Months of Contract Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine ...

Full Stack Engineer Location: Columbus, OH Onsite Duration: 9+ Months of Contract Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine ...

AI / ML Engineer Location: Columbus, OH; Wilmington, DE; Jersey City, NJ; and Plano, TX Onsite ... Java Full Stack, AWS, and Python. Designed and developed scalable full-stack applications using ...

AI / ML Engineer Location: Columbus, OH; Wilmington, DE; Jersey City, NJ; and Plano, TX Onsite ... Java Full Stack, AWS, and Python. Designed and developed scalable full-stack applications using ...

Resident Engineer

Columbus, OH · On-site

$93K - $119K/yr

... in Python. • Experience with design and/or deployment of routing and switching products within ... Engineering groups

Resident Engineer

Columbus, OH · On-site

$93K - $119K/yr

... in Python. • Experience with design and/or deployment of routing and switching products within ... Engineering groups

Bachelor's Degree in Computer Science, MIS, Engineering or related field or equivalent work ... PMs are expected to manage full project lifecycles using Agile, Waterfall, or Iterative methods.

Bachelor's Degree in Computer Science, MIS, Engineering or related field or equivalent work ... PMs are expected to manage full project lifecycles using Agile, Waterfall, or Iterative methods.

Showing results 61-72

Full-stack AI Correlation Engineer

eTeam

Columbus, OH • On-site

Contractor

Re-posted 10 days ago


Job description

Job Title: Full-stack AI Correlation Engineer
Location: Columbus, OH (Onsite)
Duration: 10 Months of Contract


Job Description:
Candidate should not focus exclusively on ML model training. That is one component of this engagement.
The delivery requires significantly broader engineering skills - Python async programming, Fast API backend development, real-time streaming with Redis, enterprise API integration with Splunk and Dynatrace, ServiceNow connectivity, vector database implementation, LLM agent development, and production deployment on enterprise infrastructure. The resource must be a full-stack AI engineer, not an ML data scientist. Someone who can build and integrate a production system end-to-end, not just train a model.

Required Skills:

  • The person who builds and owns the intelligence layer.
  • Designs and implements the three-tier classification engine (rules, XGBoost, LLM agent)
  • Builds the feature engineering pipeline - temporal, topological, semantic scoring
  • Implements SHAP explain ability for every classification decision
  • Builds and maintains the monthly retraining pipeline (Lambda MLflow)
  • Implements drift detection using Evidently
  • Owns model risk documentation for SR 11-7 compliance
  • Must have: Python, XGBoost/scikit-learn, MLflow, feature engineering, SHAP, Kafka/stream processing, SQL.
  • Financial services ML experience strongly preferred.