Halliburton is looking to lead its digital transition in manufacturing through innovative, intelligent automation, optimizing production, quality, and operations.
Requirements
- Experience applying AI to real-world manufacturing use cases
- Strong hands-on experience with Snowflake and SQL Server
- Proficiency in Python for data wrangling and model development
- Familiarity with AI platforms such as Azure ML and practical deployment workflows
- Exposure to industrial data systems (MES, SCADA, PLCs) and IoT architectures
- Familiarity with MLOps practices and model governance
- Experience with Databricks for scalable model training and orchestration
Responsibilities
- Lead initiatives that apply AI to optimize manufacturing workflows, reduce downtime, and improve product quality
- Design and deploy intelligent automation solutions that enable continuous improvement across operations
- Integrate commercial AI tools, platforms, and models for scalable deployment
- Champion best practices in model monitoring, retraining, and lifecycle management
- Analyze production data from MES, SCADA, and sensor systems to uncover actionable insights
- Build and maintain robust data pipelines using Snowflake and other cloud native services to support model development and analytics
- Develop visualizations and dashboards that empower teams to make informed decisions
Other
- Ability to communicate technical concepts to non-technical stakeholders
- Passion for driving operational excellence through data and automation
- Understanding of lean manufacturing, Six Sigma, or process control methodologies
- Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.
- This position can either sit in the Halliburton Carrollton office or Houston Corporate office
