Capco-posted 6 days ago
Full-time • Mid Level
Onsite • Charlotte, NC
1,001-5,000 employees

About the team: At the Capco Technology Delivery Center, we are dedicated to the financial services industries. Our professionals combine innovative thinking with unrivalled industry and domain expertise to offer our clients consulting expertise , complex technology and package integration, transformation delivery, and managed services, to move their organizations forward. Through our collaborative and efficient approach, we help our clients successfully innovate, increase revenue, manage risk and regulatory change, reduce costs, and enhance controls. Our teams stay at the forefront of industry trends and technologies that are driving innovation. From strategy to launch, we are adept at delivering across the full product lifecycle. About the Job: As a member of the Capco Technology Delivery Team, you’ll bring practical knowledge of agile development methodologies and engineering best practices. As an AI Engineer , you’ll play an integral role using your experience and skills to contribute to the quality and implementation of our projects.

  • Perform statistical analysis, clustering, and probability modeling to drive insights and inform AI-driven solutions
  • Analyze graph-structured data to detect anomalies, extract probabilistic patterns, and support graph-based intelligence
  • Build NLP pipelines with a focus on NER, entity resolution, ontology extraction, and scoring
  • Contribute to AI/ML engineering efforts by developing, testing, and deploying data-driven models and services
  • Apply ML Ops fundamentals, including experiment tracking, metric monitoring, and reproducibility practices
  • Collaborate with cross-functional teams to translate analytical findings into production-grade capabilities
  • Prototype quickly, iterate efficiently, and help evolve data science best practices across the team
  • Solid experience in statistical modeling, clustering techniques, and probability-based analysis
  • Hands-on expertise in graph data analysis, including anomaly detection and distribution pattern extraction
  • Strong NLP skills with practical experience in NER, entity/ontology extraction, and related evaluation methods
  • An engineering-forward mindset with the ability to build, deploy, and optimize real-world solutions (not purely theoretical)
  • Working knowledge of ML Ops basics, including experiment tracking and key model metrics
  • Proficiency in Python and common data science/AI libraries
  • Strong communication skills and the ability to work collaboratively in fast-paced, applied AI environments
  • Willingness to work in the Charlotte office 5 days/week.
  • We offer highly competitive benefits, including medical, dental, and vision insurance, a 401(k) plan, tuition reimbursement, and a work culture focused on innovation and creation of lasting value for our clients and employees.
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