206 ai ml data engineer jobs at 120 companies in Texas
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Senior AI/ML Data Engineer
Frisco, Texas, United States
OnsiteFull Time
Public StorageNYSE: PSA: Self-storage services for residential and commercial customers.
4+ YOEMS with 4+ years or BS with 6+ years in CS, 3+ years building data pipelines with Python, SQL, dbt, experience with streaming systems (Pub/Sub, Dataflow), graph databases, and owning technical decisions.
Texas InstrumentsNASDAQ: TXN: Designs and manufactures semiconductors and integrated circuits.
5+ YOEBachelor's degree and 5+ years AI/ML experience; computer vision basics, generative AI/LLM exposure, database and data-pipeline knowledge, and strong software engineering practices with Python.
New York City or Milwaukee or Dallas or Columbus or Kirkland or Cincinnati or Cleveland or Oklahoma City or Austin or Albany or Chicago or St. Petersburg or Hartford or Pittsburgh or St. Louis or Miami or Sacramento or Raleigh or Minneapolis or Mountain View or Scottsdale or San Francisco or Morristown or Denver or Boston or Philadelphia or Des Moines or Overland Park or Los Angeles or Charlotte or Walnut Creek or Carmel or Seattle or Houston or Arlington or Atlanta or Redmond or Bentonville or Beaverton or Nashville or Detroit or San Diego
$80k-$294k/yrHybridFull Time
AccentureNYSE: ACN: Global provider of management consulting and technology services.
6+ YOEBachelor's degree or equivalent experience, 6+ years developing and deploying AI/ML solutions, programming proficiency, experience with ML frameworks, big data, databases, and cloud platforms.
Python, R, Java, TensorFlow, PyTorch, Hadoop, Spark, AWS, Microsoft Azure, Google Cloud, D3.js, ggplot
AI/ML Data Engineer - Landmark (Houston, TX, US, 77032)
Houston, Texas, United States
OnsiteFull Time
HalliburtonNYSE: HAL: Provides services and technology to the global energy industry.
7+ YOEBachelors in CS or similar and 7+ years experience with software development, Python, SQL, ETL/data pipelines, CI/CD, cloud AI, full-stack (Angular/Node.js) and strong system architecture skills.
Tata Consultancy ServicesNational Stock Exchange of India: TCS: Global provider of IT services, consulting, and business solutions.
8+ YOERequires a bachelor's degree in computer science, strong Python and PySpark experience, AI/ML model knowledge, and experience with Hadoop, cloud platforms, distributed systems, scalability, observability, and performance tuning.
InfosysNYSE: INFY: Provides IT consulting, software development, and business outsourcing services.
Bachelor's or equivalent (or progressive experience), experience with Python, SQL, PySpark, GCP/Azure, Big Table, ML orchestration, designing scalable data pipelines and analytics, strong communication and Agile experience; must be authorized to work in the US without employer sponsorship.
GCP, Azure, Python, SQL, PySpark, Big Table, TIBCO, Vitria, webMethods, IBM WBI, SAP NetWeaver
Hewlett Packard EnterpriseNYSE: HPE: Provides edge-to-cloud IT infrastructure and platform services.
7+ YOE7+ years experience developing and deploying AI/ML solutions; strong ML and deep learning expertise; proficiency in Python/R/Java and ML frameworks; BS/MS in CS/data science/engineering or related field.
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Design and maintain data validation, monitoring, and observability systems for ML/GenAI datasets; collaborate with ML engineering, data engineering, privacy, and legal to ensure high-quality training and validation data.
TeleWorld SolutionsKRX: 005930: Design, deployment, and optimization services for wireless network infrastructure.
7+ YOE7+ years in data science/analytics/engineering, 3-5 years deploying production ML systems, strong Python/R/SQL skills, cloud and big-data experience, ML and statistical expertise, strong communication.
JPMorgan ChaseNYSE: JPM: Global financial services firm providing banking and investment solutions.
5+ YOE5+ years in software engineering or applied AI/ML research, advanced degree or equivalent experience, strong Python skills, experience with cloud platforms, containers/Kubernetes, CI/CD, observability, and secure software practices.
Applied MaterialsNASDAQ: AMAT: Produces equipment and services for chip and display manufacturing.
10+ YOE10+ years in manufacturing data science and AI/ML, expertise in agent-based systems and AI orchestration, strong analytics, statistics, and productionizing models for manufacturing impact.
Charles SchwabNYSE: SCHW: Financial services, brokerage, and investment management provider.
8+ YOE8+ years data engineering; 4+ years scalable data pipelines; 3+ years AI/ML/NLP; 2+ years containers/cloud; BS in CS/Data Engineering/Math/Analytics.
KPMG: Global professional services network providing audit, tax, and advisory.
5+ YOEMinimum five years software engineering experience building and deploying AI/ML systems; Bachelor’s degree required (Master’s preferred); expertise with LLMs, RAG, data integration, CI/CD, and mentoring skills.
LLMs, Azure OpenAI, Google Cloud, LangChain, LangGraph, Semantic Kernel, Azure AI Search, Databricks, Microsoft Fabric, Azure DevOps, Git, CI/CD, RAG
Filmore: A building AI and data systems for the construction equipment industry.
5+ YOEShipped production-level AI/ML systems; strong Python, SQL, and cloud experience; work with LLMs, model routing, and data pipelines; capable of building scalable, observable backends.
Hewlett Packard EnterpriseNYSE: HPE: Providing global edge-to-cloud infrastructure and IT solutions for businesses.
7+ YOEBachelor's or master's in CS/engineering/data science, typically 7+ years experience, strong ML/deep learning knowledge, proficiency in Python/R/Java, TensorFlow/PyTorch, Git, and excellent communication and leadership skills.
Python, R, Java, Git, TensorFlow, PyTorch, sci-kit, Keras
Applied MaterialsNASDAQ: AMAT: Manufacturers of equipment for semiconductor and display production.
10+ YOE10+ years in manufacturing data science or AI, expertise in agentic systems and automation, strong statistical/ML skills, experience with Python/R/SQL, ability to influence senior stakeholders.
McAfee: Provides cybersecurity and privacy protection software for consumers.
7+ YOE7+ years data engineering experience and 1+ year AI/ML experience; strong knowledge of Spark, Kafka, ETL, Databricks, SQL/NoSQL, cloud platforms (AWS/Azure/GCP), API development (REST/GraphQL), and telemetry/real-time systems.
VerizonNYSE: VZ: Provides wireless, broadband, and telecommunications services to customers.
6+ YOE6+ years relevant experience, 4+ years independently developing and deploying complex ML/propensity models; experience with LLM agents, RAG, cloud data engineering, Python/R/SQL, and stakeholder communication.
Visual Comfort & Co.: Designer and manufacturer of premium decorative and architectural lighting products.
4+ YOEBachelor's in CS/Data/Engineering (or equivalent); 4+ years AI/ML and Python/SQL experience; experience with ML lifecycle, cloud AI platforms (Azure/OpenAI), BI integration (Power BI), and data pipelines; strong communication and problem-solving.
Python, SQL, Microsoft Azure, Microsoft Azure AI, Microsoft Azure ML, OpenAI, Microsoft Fabric, Microsoft Synapse, Microsoft Power BI, Datamarts, D365, JD Edwards