7 data ai engineer jobs at 6 companies in Temple, TX
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Manufacturing AI & Automation Engineer
Tualatin or Austin or Austin or Fremont or Singapore or Malaysia or United Kingdom
OnsiteFull Time
Ichor HoldingsNASDAQ: ICHR: Designs and manufactures fluid delivery systems for semiconductor manufacturing.
5+ YOEBachelor’s degree in a technical discipline and 5–10 years of engineering experience applying AI, automation, data-driven solutions, and process improvement in manufacturing or operational environments.
Claude, large language models (LLMs), foundation models, retrieval-augmented generation (RAG), AI agents, Python, SQL, APIs, MES, ERP, QMS, PLM, CNC
Ovivo: Provides global water and wastewater treatment equipment and solutions.
3+ YOEBachelor's or equivalent, 3+ years in software/data/AI engineering, hands-on AI/ML build and deployment experience, SQL and Python proficiency, stakeholder engagement and change-management experience.
UST: Global provider of digital transformation and IT services.
10+ YOERequires 10+ years of related experience and a master's degree or PhD in computer science, data science, AI, or a related field. Strong Python, AI/ML, Angular, Kubernetes, DevOps, security, and communication skills required.
Dell TechnologiesNYSE: DELL: Provides information technology hardware, software, and services.
6+ YOESenior data scientist with 6+ years (Master's) or 10+ years experience; expertise in ML, generative AI, LLMs, agentic frameworks; strong engineering skills (Python, Git, Docker) and MLOps/LLMOps experience.
Dell TechnologiesNYSE: DELL: Provides information technology hardware, software, and services.
12+ YOEExpert in enterprise knowledge graph architecture (Neo4j/Stardog), ontology engineering (OWL2), RAG/agentic AI, PySpark/Kafka/Airflow integration, Python/SQL/Cypher/SPARQL proficiency, and 12+ years experience with 4+ years on knowledge graphs.
ERCOT: Managing the electrical grid and power markets in Texas.
5+ YOE5+ years software development experience; bachelor's in engineering/computer science; proficiency in full-stack web development, data pipelines, AI tools, and cloud platforms; strong communication and leadership skills.
MIRA Safety: Designs and manufactures professional-grade personal protective equipment and tactical gear.
Requires significant software engineering and technology leadership, hands-on AI agent development, deep Shopify expertise, full-stack architecture, scalable integrations, cloud infrastructure, cybersecurity, data governance, and team management.