3 months ago
Base Salary
$150k - $400k/yr
Responsibilities
- Build end-to-end pipelines and models that transform fragmented enterprise data into AI-ready assets.
- Structure and normalize noisy datasets and define data packs and ontologies for AI engineers.
- Build internal products and tooling that make data work faster and repeatable across customers.
- Work directly with operators and product and AI engineers to turn high-value use cases into production data workflows.
- Make technical decisions about data models, storage, orchestration, and infrastructure tradeoffs.
- Help define Percepta’s data strategy and create systems that improve with each customer engagement.
Requirements
- Strong experience in some combination of data science, data engineering, and machine learning.
- Ability to build and ship effectively in ambiguous environments while forming strong technical opinions.
- Product instinct and interest in building tools that make data work easier and more scalable.
- Understanding of the data requirements of modern AI/ML and LLM systems, including features, retrieval, context, and embeddings.
- High ownership, strong communication, and comfort working directly with customer teams.
- Experience building agentic or automated data-engineering tooling is a nice-to-have.
- Hands-on experience with modern cloud data platforms such as Databricks is a nice-to-have.
- Experience with health-system data or other complex, regulated enterprise data is a nice-to-have.
- Prior startup, founding, or forward-deployed experience is a nice-to-have.
Benefits
- Work on an ambitious applied-AI mission with direct customer impact.
- Founding-level ownership in defining the company’s data strategy and operating playbook.
- The role is not a traditional 9-to-5 position, and the company states it will not monitor employees’ hours.
Tech Stack
AWSDatabricks
Categories
Data EngineeringML Engineering
About Percepta
Percepta (a GC Transformation Company) combines applied AI engineering with frontier research to transform enterprises. Unlike traditional AI point solutions or consulting engagements, Percepta embeds AI engineers, researchers, and product managers directly within organizations. They are enabled by products from across GC’s portfolio and beyond, and leverage their own Mosaic platform to orchestrate enterprise transformation. Percepta exemplifies GC’s approach to deploying integrated, AI-native operating systems at scale.