12 mlops engineer jobs at 6 companies in Denison, TX

2w
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Sr. Data Engineer
Rochester or Irvine or Frisco
$145k-$165k/yr OnsiteFull Time
Megazone Cloud
Megazone Cloud: Provides managed cloud services and digital transformation consulting.
5+ YOE5+ years data engineering experience, expert in Python and SQL, hands-on with Databricks or Snowflake and AWS, ability to lead projects and mentor engineers.
Databricks, Snowflake, Python, SQL, AWS, GenAI, AI/ML frameworks, MLOps
1mo
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Senior Platform Engineer - Frisco
Frisco, Texas, United States
$107k-$176k/yr HybridFull Time
McAfee
McAfee: Provides digital security and privacy software for consumers.
10+ YOE10+ years platform engineering experience with enterprise GenAI/AI infrastructure, Kubernetes, cloud (AWS/GCP), Python/Go, Terraform, Backstage, and platform security/governance.
AWS Bedrock, OpenAI, Anthropic, Kubernetes, GKE, EKS, Python, Go, FastAPI, gRPC, AWS, GCP, IAM, VPC, KMS, Terraform, Backstage, OpenSearch, Aurora pgvector, Apache Kafka, LangChain, LlamaIndex, Pinecone, Weaviate, CI/CD, LLMOps, MLOps
1mo
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Senior AI Platform Engineer - Frisco
Frisco or San Jose
$107k-$176k/yr HybridFull Time
McAfee
McAfee: Provides cybersecurity and privacy protection software for consumers.
10+ YOE10+ years platform engineering experience with GenAI/LLM ecosystems, Kubernetes (EKS/GKE), cloud (AWS/GCP), Python and Go, Terraform, Backstage, CI/CD, vector stores/OpenSearch, Kafka, and enterprise AI security and governance.
AWS Bedrock, OpenAI, Anthropic, Kubernetes, GKE, EKS, Python, Go, FastAPI, gRPC, AWS, GCP, Terraform, Backstage, OpenSearch, Aurora pgvector, CI/CD, Apache Kafka, LangChain, LlamaIndex, Pinecone, Weaviate, IAM, VPC, KMS, MLOps, LLMOps
3w
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Associate Director, AI Software Security Engineer
McKinney or Tewksbury or Tucson
$157k-$299k/yr OnsiteFull Time
RTX
RTXNYSE: RTX: Provides advanced aerospace and defense systems and services.
12+ YOEU.S. citizen with ability to obtain/maintain TS/SCI clearance, STEM degree, ~12+ years experience deploying AI/LLMs, secure MLOps/DevSecOps, cloud (AWS/Azure/GCP), Python, ML frameworks, and leadership experience.
Amazon Web Services (AWS), Azure, Google Cloud Platform (GCP), Python, Large Language Models (LLMs)
3w
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Machine Learning Engineer
Frisco, Texas, United States
OnsiteFull Time
Quarterhill
QuarterhillToronto Stock Exchange: QTRH: Sells technology for tolling and intelligent transportation systems.
5+ YOE5+ years ML experience with computer vision, production deployment, MLOps, and RAG/LLM systems; Master's degree required; strong communication and engineering skills.
Vision Transformers, VLMs, OpenCV, PIL, MLflow, Kubeflow, Docker, Kubernetes
1mo
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Senior MarTech Engineer (Braze/Claude)
San Jose or Frisco
$136k-$223k/yr HybridFull Time
McAfee
McAfee: Provides digital security and privacy software for consumers.
Expert Python and ML engineering experience with PyTorch/TensorFlow, LLM orchestration, SQL/Databricks, Braze integration, Claude/Generative AI, Docker/Kubernetes, MLOps, and privacy/compliance (GDPR/CCPA).
Python, PyTorch, TensorFlow, LangChain, LlamaIndex, HighTouch, Braze, Iterable, Meta Conversions API, Google Enhanced Conversions, Adobe CJA, Javascript, SQL, Databricks, Claude, LoRA, QLoRA, Stable Diffusion, GPT-4o, Sora, Pinecone, Milvus, Weaviate, Hugging Face, OpenAI API, LangGraph, Docker, Kubernetes, AWS SageMaker, Google Vertex AI, Azure AI Studio, Airflow, Prefect, GitHub Actions, Weights & Biases, Arize, Grafana
3mo
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Senior AI/ML Platform Engineer
Plano, Texas, United States
OnsiteFull Time
Toyota
ToyotaNYSE: TM: Designs and manufactures vehicles and provides automotive financial services.
6+ YOE6+ years software engineering; 2+ years AI/ML infra; cloud, platform engineering; MLOps/LLMOps; AWS; Kubernetes; CI/CD; observability; security.
AWS, Terraform, CDK, CloudFormation, Kubernetes, EKS, Docker, GitHub, GitHub Actions, Jenkins, Datadog, CloudWatch, Prometheus, LangChain, RAG, Bedrock, SageMaker
2mo
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Data Engineer
Rochester or Irvine or Frisco
$110k-$140k/yr OnsiteFull Time
Megazone Cloud
Megazone Cloud: Provides managed cloud services and digital transformation consulting.
3+ YOE3+ years data engineering experience; 2+ years Python and SQL; hands-on Databricks or Snowflake; experience building data pipelines on AWS; strong communication and collaboration skills.
Databricks, Snowflake, Python, SQL, AWS, GenAI, MLOps
3w
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Machine Learning Engineer
Frisco, Texas, United States
OnsiteFull Time
Quarterhill
QuarterhillTSX: QTRH: Provides technology for intelligent transportation, tolling, and traffic management.
5+ YOE5+ years ML experience with specialization in computer vision, Master’s required (Ph.D. preferred), experience with MLOps (MLflow,Kubeflow,Docker,Kubernetes), OpenCV/PIL, LLMs/RAG and strong communication skills.
Vision Transformers, VLMs, OpenCV, PIL, MLflow, Kubeflow, Docker, Kubernetes
4w
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Associate Director, AI Application Engineer
McKinney or Tucson or Tewksbury
$157k-$299k/yr OnsiteFull Time
RTX
RTXNYSE: RTX: Provides advanced aerospace and defense systems and services.
12+ YOE12+ years applying AI/ML to deliver production systems, experience with LLMs, secure MLOps/DevSecOps, cloud and embedded deployment, and ability to obtain TS/SCI clearance (U.S. citizenship required).
Python, Large Language Models (LLMs)
1mo
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Principal Solutions Architect - AI
Allen, Texas, United States
$149k-$176k/yr OnsiteFull Time
Motorola Solutions
Motorola SolutionsNYSE: MSI: Provides mission-critical communications and public safety technology.
12+ YOEBachelor's or higher in CS/AI/Engineering, 12+ years software engineering experience with architectural leadership in AI/ML or data-intensive systems, expertise in MLOps, cloud (AWS/Azure/GCP), Python/Java/C++, TensorFlow/PyTorch, and prompt engineering.
Python, Java, C++, TensorFlow, PyTorch, MLOps, AWS, Azure, GCP
2w
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Senior Product Manager – Artificial Intelligence
Frisco or Newport Beach or San Jose or New York or Toronto
$124k-$204k/yr HybridFull Time
McAfee
McAfee: Provides digital security and privacy software for consumers.
Lead AI/ML product strategy, own lifecycle for ML models and LLMs, build evals and safety guardrails, partner with engineering and MLOps, and communicate technical metrics to executives.
LLMs, MLOps