Data Scientist II - ML Engineering
Core
Design, build, and maintain ML platforms and Generative AI solutions (RAG, multi-agent workflows) for H-E-B's Corporate Planning and Analysis team to optimize financial systems and business decision-making.
Role type
Senior ML Engineering Lead (Generative AI & Infrastructure)
Builds
Scalable ML platforms, Generative AI models, and automated MLOps pipelines for retail financial analysis
Domain
Retail / Corporate Planning & Analysis / Machine Learning Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Distributed machine learning optimization, Causal reasoning, Generative AI engineering, MLOps (CI/CD, containerization), Model monitoring and versioning, Data wrangling for LLMs
Preferred skills
Expertise in heterogeneous domain environments, AI interpretability and bias measurement, Storytelling for business stakeholders
Technologies
Docker, Kubernetes, Vertex, Databricks, TensorFlow Serving, Flask, FastAPI, Spark MLlib, Horovod, Cython, JNI, Numba
Responsibilities
Architect and deploy Generative AI solutions including RAG systems and multi-agent workflows; Manage ML platform infrastructure and CI/CD pipelines; Optimize model training performance and resource usage; Translate complex ML findings into actionable business insights
Seniority
Senior, hands-on IC with leadership responsibilities