2 дня назад
Data & Model Operations Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data & Model Operations Engineer (AI): Building governed data pipelines and production workflows that support credit risk model execution, monitoring, reporting, and lifecycle processes with an accent on data governance, metadata, lineage, profiling, and pipeline orchestration. Focus on integrating Informatica Taskflows with ELT processes, operationalizing models at scale, and creating auditable workflows for analytical decision-making.
Location: Based at 's corporate headquarters in Norcross, Georgia, United States; personalized flexibility is arranged through the Flex Werk program. Applicants must be legally authorized to work in the United States now and in the future without employer sponsorship.
Company
is a specialty finance company that acquires or finances consumer assets and is a wholly owned subsidiary of National Bank of Canada.
What you will do
- Design and implement Informatica Taskflows integrated with ELT processes.
- Build data governance capabilities covering enterprise glossaries, metadata, technical asset associations, lineage, profiling, and data quality checks.
- Integrate model execution, scoring, monitoring, and reporting into scalable production workflows.
- Support credit risk model lifecycle activities, including data preparation, validation, deployment, and model refreshes.
- Partner with deal, analytics, and engineering teams to deliver auditable, production-ready data and model solutions.
- Contribute to AI-driven initiatives for governance, pipeline operations, and workflow automation.
Requirements
- 2+ years of relevant full-time experience in data engineering, analytics, data governance, or ModelOps.
- Strong SQL skills and hands-on experience with Snowflake or a similar cloud data platform.
- Programming experience with Python, SAS, or R.
- Experience with large datasets, analytical workflows, and pipeline orchestration.
- Bachelor's degree in computer science, data science, statistics, mathematics, engineering, or equivalent experience.
- Legal authorization to work in the United States without current or future employer sponsorship.
Nice to have
- Experience with credit risk models, model lifecycle processes, or MLOps.
- Experience with data governance, lineage, profiling, or catalog tools such as Informatica CDGC.
- Exposure to dbt, APIs, CI/CD, Docker, workflow orchestration, or reusable ELT frameworks.
- Familiarity with AI-assisted development tools such as GPT, Claude, or Informatica Claire AI.
- Master's degree in a quantitative field.
Culture & Benefits
- Medical, dental, and vision coverage through Cigna, with covering a significant portion of premiums.
- Short-term disability, long-term disability, and basic life insurance at no cost.
- 401(k) with company match, generous paid time off, paid parental leave, and volunteer time off.
- Personalized flexibility through the Flex Werk program and an equipped office environment.
- Career growth opportunities and a people-first, inclusive workplace recognized as a Top Workplace.
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