6 software machine learning engineer jobs at 6 companies in Phoenix, AZ
1w
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Sr. Machine Learning Engineer
Santa Clara or Hillsboro or Folsom or Phoenix
$195k-$361k/yr HybridFull Time
4+ YOEBS in CS/EE/Math or related STEM,8+ years software development,4+ years ML experience,proficient in Python,experience with LLM architectures,benchmarking and post-training pipelines.
Python
2w
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Machine Learning Ops Data Engineer
Southlake or Austin or Phoenix
$102k-$185k/yr OnsiteFull Time
8+ YOE2+ Mgmt8+ years data/software engineering with 2+ years technical leadership; expert GCP (BigQuery,Vertex AI,GCS,Dataflow,Pub/Sub,Cloud Run,GKE,Composer,Airflow), Python, SQL, CI/CD, containerization, security, observability; experience productionizing ML.
BigQuery, Vertex AI, GCS, Dataflow, Pub/Sub, Cloud Run, GKE, Composer, Airflow, IAM, Cloud Monitoring, Cloud Logging, Python, SQL, Docker, Git
6d
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Experienced AI Engineer - Generative AI/Machine Learning
Chicago or Tempe or Peoria or Peoria
$121k-$176k/yr HybridFull Time
7+ YOEBachelor's in computer science or related, 7+ years software engineering, experience with cloud-native apps, LLMs/RAG/vector search, Python, Kubernetes, Docker, CI/CD, and enterprise integrations.
Python, Kubernetes, Docker, REST, LangGraph, LangChain, Azure AI Foundry, Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), OCR, Git, GitLab, GitLab CI/CD, Infrastructure as Code (IaC)
1mo
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ML Engineer - Instawork Robotics
San Francisco or Bengaluru or Chicago or New York City or Phoenix or Singapore or United States or Canada
$170k-$200k/yr OnsiteFull Time
4+ YOE4+ years software engineering experience, Master’s or PhD in AI/ML-related field with 1+ years building ML/CV models for robotics, experience with data pipelines, distributed systems and AWS, strong communication and problem-solving.
AWS
1w
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Python-AI ML (GenAI) Senior Engineer
Phoenix, Arizona, United States
$100k-$130k/yr OnsiteFull Time
7+ YOE7+ years experience building AI/ML systems; strong Python/Java, Spring Boot, microservices, Kafka, CI/CD, model lifecycle and production deployment skills.
Java, Python, Spring Boot, Micro-services, Kafka, NoSQL, Maven, Salt, Git, Jenkins, HTTP, Apache, Unix, Linux, Genesys
2mo
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AI Engineer/ML Engineer - Senior Developers - AI Training - Mesa, US
Mesa, Arizona, United States
$80/hr RemoteContract, Part Time
BS/MS/PhD in CS/AI/Robotics or quantitative field; production ML model experience; deep learning and LLM expertise (prompting, RLHF, RAG); ability to audit models, spot hallucinations, and critique outputs.
PyTorch, TensorFlow, Keras, Python, NumPy, Pandas, Scikit-learn, Hugging Face Transformers, AWS, SageMaker, Google Cloud, Vertex AI, Weights & Biases, LangChain, Pinecone, Milvus, Weaviate