About the position
Centric Consulting is seeking a Data / ML Engineer to support the design, development, and operationalization of AI and GenAI pipelines within a regulated financial services environment. This role is focused on data pipelines, model lifecycle management, and governance, partnering with application and AI engineers to ensure AI systems are reliable, explainable, and compliant.
Responsibilities
- Design and implement RAG pipelines, vector database integrations, and data ingestion workflows
- Develop and optimize prompt engineering and fine-tuning approaches for enterprise LLM use cases
- Build and maintain MLOps pipelines, including model versioning, monitoring, retraining, and rollback strategies
- Ensure data quality, lineage, and auditability across AI systems
- Implement controls supporting model governance, explainability, and audit readiness
- Partner with security, compliance, and risk teams to meet regulatory expectations
- Support AI engineers with data and model insights to improve solution accuracy and reliability
Requirements
- A data-focused engineer with strong experience supporting production ML and GenAI systems
- Comfortable operating across data engineering, ML workflows, and governance requirements
- Experienced working with financial or sensitive data in regulated environments
- Detail-oriented, methodical, and focused on long-term operability and compliance
- Bachelor’s degree in Computer Science, Data Science, Engineering, or related field required
- 5+ years experience in data engineering or ML engineering roles
- Strong proficiency in Python and the modern Python data stack
- Hands-on experience with vector databases, RAG architectures, or LLM lifecycle management
- Experience implementing MLOps practices in production environments
Nice-to-haves
- Financial services or regulated-industry experience strongly preferred
Benefits
- health coverage
- wellness programs
- 401K company match
- self-managed PTO