2 mlops manager jobs at 2 companies in Modesto, CA

PromotedHiringCafe
ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yr On-SiteFull Time
HiringCafe
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Turn powerful AI and ML models into fast, reliable production systems. Own inference latency, throughput, model-serving architecture, multi-GPU systems, and production deployment for millions of users.
Python, PyTorch, vLLM, SGLang, TensorRT, LLMs
PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yr On-SiteFull Time
HiringCafe
HiringCafe: Building a 100× better job search engine to take on Indeed and LinkedIn.
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
Python, PyTorch, Elasticsearch, LLMs
2mo
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Lead Data Scientist
Pleasanton, California, United States
OnsiteFull Time
Albertsons Companies
Albertsons CompaniesNew York Stock Exchange: ACI: Operates supermarkets and pharmacies across the United States.
12+ YOE8+ Mgmt12+ years in data science; 8+ years leading data science teams; advanced STEM degree preferred; experience in retail/grocery supply chain; proficiency Python, SQL; Snowflake, Spark; MLOps; strong communication.
Python, SQL, Snowflake, Spark, Hadoop, Databricks, Azure Databricks, MLOps, Model Life Cycle Management
2w
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Head of Engineering DIA R&D
Warsaw or Madrid or Poznan or Santa Clara or Pleasanton
zł364k-zł676k/yr OnsiteFull Time
Roche
RocheSIX Swiss Exchange: ROG: Develops and manufactures pharmaceutical medicines and diagnostic solutions.
10+ YOE5+ Mgmt10+ years software/platform engineering experience with 5+ years leading cross-functional technical teams; 5+ years in regulated life sciences with knowledge of GxP, 21 CFR Part 11 and GAMP 5; 3+ years production AI/ML platform experience; hands-on laboratory informatics and cloud architecture expertise.
MLflow, SageMaker, Sapio, Benchling, LabVantage, Docker, Kubernetes, AWS, Azure, GCP, GitOps, HPC, GPU, vector databases, MLOps, LLM, CI/CD, RAG workflows, FAIR, CDISC, 21 CFR Part 11, GAMP 5