AI/ML Data Engineer - Landmark

Job Duties

• Own production AI/ML systems including monitoring, performance, and reliability


• Build and manage end-to-end ML pipelines with CI/CD and model lifecycle


• Design and deploy LLM-based solutions (RAG, prompt pipelines, vector search)


• Lead architecture decisions for scalable, cloud-native AI platforms


• Ensure data governance, security, and responsible AI practices

Qualifications

• Requires completion of an undergraduate degree in Computer Science or similar discipline, and a minimum of 7 years of related experience, including software development experience.


• Python


• SQL and Data Modeling


• ETL / Data Pipeline engineering


• AI/ML tools and frameworks


• Cloud AI services/platforms


• Full-stack development (preferably Angular/Node.js or equivalent)


• Strong architecture and system design skills

Candidates having qualifications that exceed the minimum job requirements will receive consideration for higher level roles given (1) their experience, (2) additional job requirements, and/or (3) business needs.  Depending on education, experience, and skill level, a variety of job opportunities might be available, including Principal Technical Professional - Software Development or Technical Advisor - Software Development.

World Class Benefits:

At Halliburton, we're committed to providing you and your family with a comprehensive and affordable benefits package - which means we offer support for your physical, emotional, financial and parental needs, both now and in the future.  When you join our team, you'll have access to a wide range of resources designed to help you thrive at work and at home.  By clicking here, you can review a summary of the benefits available once you join.