Senior AI Data Engineer - Scalable ML Pipelines (Austin)

General Motors Company; Austin (TX); Híbrido; USD 134.000 - 189.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Incentive pay program

Health, Dental, Vision

GM vehicle discounts

Descripción de la vacante

General Motors GPSC Insights Engineering seeks an experienced data and AI engineer to design and deliver scalable data and AI solutions for purchasing supply chain use cases in a hybrid Austin role. You will own end-to-end delivery, ensuring data is trusted, scalable, secure, and observable for BI, analytics, ML, and generative AI.

The role requires 6+ years in data or software engineering, strong Python/SQL, Spark, Kubernetes, and cloud experience (Azure preferred; AWS/GCP also considered).

Formación

• Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, or related field (or equivalent experience).
• 6+ years of experience in data engineering, software engineering, platform engineering, or related discipline, including production delivery of scalable data solutions.
• Proficient in Python and SQL; experience with Scala or another production language is a plus.
• Hands-on experience building data pipelines or platforms supporting ML, analytics, or genAI workloads.

Responsabilidades

• Architect, design, develop, and deliver scalable data and AI engineering solutions across batch, streaming, and near-real-time workloads.
• Assemble, curate, and transform datasets for model training, validation, evaluation, feature generation, embedding generation, retrieval, and inference.
• Design and implement robust source-system integrations across files, database extracts, APIs, event streams, external suppliers, and supply-chain systems.
• Build high-quality data pipelines and reusable data products with data contracts, schema management, lineage, metadata, quality checks, and observability.
• Develop and operationalize feature, embedding, and vector-retrieval pipelines for ML and generative AI applications.

Conocimientos

Python

SQL

Apache Spark

Kubernetes

Kafka

Azure

AWS

GCP

LangChain

CrewAI

Vertex AI

LLM evaluation

Educación

Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, or related field

Master’s degree in a related field

Herramientas

CI/CD

Docker

Descripción del empleo

General Motors GPSC Insights Engineering seeks an experienced data and AI engineer to design and deliver scalable data and AI solutions for purchasing supply chain use cases in a hybrid Austin role. You will own end-to-end delivery, ensuring data is trusted, scalable, secure, and observable for BI, analytics, ML, and generative AI.

The role requires 6+ years in data or software engineering, strong Python/SQL, Spark, Kubernetes, and cloud experience (Azure preferred; AWS/GCP also considered).