408 ml engineering jobs at 150 companies in Allen, TX
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Sr. Director, AI/ML Engineering
Irving, Texas, United States
$231k-$385k/yrHybridFull Time
McKessonNew York Stock Exchange: MCK: Distributes pharmaceuticals and provides healthcare information technology solutions.
13+ YOE6+ Mgmt13+ years professional experience with 6+ years of diversified leadership; deep AI/ML technical credibility, responsible AI and model risk management experience, enterprise cloud AI/ML platform experience, finance/P&L ownership, and executive stakeholder management.
Microsoft Azure, Langchain, LangGraph, Python, LLMs
Paradigm: Software transforming the residential construction and building product industries.
12+ YOE5+ Mgmt12+ years in applied AI, ML, or software engineering; 5+ years in leadership; degree in CS/ML or related; proven production AI deployment; expertise in LLMs, CV, RAG; strong software & cloud skills.
McAfee: Provides digital security and privacy software for consumers.
10+ YOE10+ years software engineering (3+ years in AI/ML), hands-on Python/Golang, experience with cloud-native architectures, ML lifecycle, NLP/LLMs, stakeholder management, and leading engineering teams.
Vizient: Healthcare performance improvement and group purchasing organization.
2+ YOE2+ years relevant experience; production ML/AI deployment experience; strong Python and software engineering practices; experience with LLMs, RAG, vector search, and MLOps preferred.
Atlanta or Columbus or Dallas or New York City or Philadelphia or Richardson
$235k-$255k/yrOnsiteFull Time
CBRENYSE: CBRE: Provides global commercial real estate services and investment management.
5+ YOE5+ years AI/ML engineering experience with production deployments; strong Python and ML library experience; knowledge graph and MLOps expertise; cloud AI/ML platform experience; ability to work with product stakeholders. Bachelor's degree required.
OrthoMed Anesthesia: Provides anesthesia management and staffing for hospitals and surgery centers.
6+ YOE6+ years Python engineering, 3+ years building production ML/LLM systems; experience with LLM providers, MLOps, HIPAA safeguards, prompt engineering, evaluation, and deployment.
EY-Parthenon - Strategy and Execution - Growth Platforms - AI ML Engineering - Director (New York, NY, US, 10001-8604)
New York or Atlanta or Boston or Chicago or Dallas or Denver or Detroit or Houston or Los Angeles or McLean or Hoboken or Philadelphia or San Francisco or Seattle
$205k-$235k/yrHybridFull Time
EY: Global firm providing audit, tax, and professional consulting services.
3+ YOEBachelor's plus 5 years (or graduate degree plus ~3 years) of AI/ML engineering experience; fluency in Python and PyTorch/TensorFlow; experience with LangChain, RAG, vector DBs and production ML pipelines; strong communication and leadership skills.
EssilorLuxotticaEuronext Paris: EL: Designs, manufactures and distributes ophthalmic lenses, frames and sunglasses.
Bachelor’s in CS/Engineering; proven Data/ML/Platform engineering experience; strong Azure and big data platform experience; proficiency in Python, SQL, Scala; production-grade data pipelines; authorized to work in the U.S. (no visa sponsorship).
Azure, AWS, GCP, Python, Scala, SQL, Spark, Kubernetes, CI/CD, DevOps, MLOps, Azure Data Factory, Azure Databricks, Azure Data Lake, Synapse, Delta, Parquet, JSON, CSV, MLFlow, Docker, AKS, APIs, Airflow, SAP CDC
Vizient: Provides performance improvement and supply chain services to hospitals
5+ YOE5+ years in ML engineering; production ML deployment; LLM/RAG; Python; CI/CD; cloud; vector DBs; LangChain/LlamaIndex; build scalable AI solutions.
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.
Mountain View or New York City or Dallas or Miami or Seattle or Los Angeles or Chicago
$111k-$174k/yrRemoteFull Time
Cognify Analytics: A technology focused on AI solutions and ML systems.
6+ YOE5–8 years in ML engineering or related field; strong Python and ML framework experience; production ML pipelines; MLOps knowledge; cloud platforms; effective communicator.
Charles SchwabNYSE: SCHW: Financial services, brokerage, and investment management provider.
8+ YOE8+ years data/software engineering experience, 2+ years technical leadership, expert GCP, Python, SQL, CI/CD, containerization, cloud security, and observability for production ML systems.
CitiNYSE: C: Providing global banking, investment, and wealth management services.
5+ YOEExpert in Python and Java with AI/ML and Agentic AI experience, LLM fine-tuning, cloud (AWS/Azure/GCP), CI/CD, Docker/Kubernetes, SQL/NoSQL, and strong analytical and communication skills; bachelor’s degree or equivalent; 5+ years recommended.
Prodapt: Provides digital engineering and IT consulting services for telecom.
12+ YOE12+ years software engineering experience, telecom domain expertise, hands-on Agentic AI and generative AI experience, advanced Python and ML framework skills, and ability to lead technical AI solutions.
Solera: Integrated software and data for vehicle lifecycle management.
7+ Mgmt15+ years software engineering; 7+ years leading teams; AI/ML tooling experience; change management; cloud-native architecture; regulated domains; BS/MS in CS or Engineering.
.NET, Java, React, Cloud infrastructure, CI/CD, SRE, AI tooling
EquinixNASDAQ: EQIX: Provides global data center colocation and digital interconnection services.
12+ YOE5+ Mgmt13+ years software/ML engineering, 5+ years leading large distributed teams, proven production ML/AI delivery, strong ML systems and MLOps knowledge, GenAI/LLMs familiarity.
GameStopNYSE: GME: Video game, consumer electronics, and collectibles retail.
9+ YOE9+ years software development; dynamic pricing and real-time data pipelines; web scraping; AWS, Kubernetes, CI/CD; Java/Spring; e-commerce/retail tech.
Photon: A digital services delivering enterprise digital experiences and modernization solutions.
Design, implement, deploy, monitor, and optimize scalable ML systems; hands-on with Java, Python, TensorFlow/PyTorch; containerization (Docker, Kubernetes); CI/CD and Terraform; prompt engineering and model optimization experience preferred.