123 mlops engineer jobs at 90 companies in Vallejo, CA
🚀PromotedHiringCafe
ML Engineer - Inference & Model Deployment
Cupertino, CA, US
$250k-$310k/yrOn-SiteFull Time
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.
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.
Stanford Health Care: Provides comprehensive medical care, specialized treatments, and clinical research.
3+ YOEBachelor's in CS/Engineering, 3+ years related experience; strong cloud, IaC, Kubernetes, containerization, CI/CD, Python/Rust/Go, ML frameworks, and MLOps observability experience.
Sequen AI: AI-native ranking engine for enterprise search and recommendations.
4+ YOEMinimum 4+ years MLOps or ML/platform engineering; expertise with low-latency model serving, Python and PyTorch; cloud (AWS/GCP/Azure), Docker, Kubernetes, MLflow; strong distributed systems and pipeline experience.
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
8+ YOE8+ years software engineering; BS in CS/ENG/Statistics/Data Mining/ML; production ML systems; distributed systems; cloud platforms; Kubernetes; MLOps tooling; Python; ML frameworks; CI/CD for ML; data pipelines.
Wells FargoNYSE: WFC: Global provider of banking, investment, and mortgage financial services.
7+ YOE7+ years engineering experience, 5+ years Python and ML frameworks, experience with clustering, unsupervised learning, knowledge graphs, MLOps, and productionizing agentic systems.
Databricks: A unified platform for data analytics and artificial intelligence.
6+ YOE6+ years in data engineering or software engineering, expertise with Apache Spark, cloud (AWS/Azure/GCP), coding in Python/Scala/JavaScript/TypeScript, CI/CD, MLOps, customer-facing delivery, and Databricks certification preferred.
Coupa: Cloud-based platform for managing and optimizing business expenditures.
10+ YOE3+ Mgmt10+ years platform engineering experience with 3+ years technical leadership; deep cloud (AWS/GCP) and multi-cloud architecture expertise; strong automation, IaC (Terraform), CI/CD and MLOps experience; programming in Python/Go/Java.
Lumafield: Accessible industrial CT scanners and cloud-based analysis software
4+ YOE4+ years building applied computer vision/ML for image or volumetric data, production deployment (MLOps), customer-facing experience, ability to scope and deliver ML solutions, and willingness to travel ~30%.
Mistral AI: Developing frontier artificial intelligence models and enterprise AI solutions.
4+ YOE4+ years in data infrastructure/MLOps or infrastructure engineering; proficiency in Python; experience with Kubernetes and distributed systems; knowledge of large-scale compute and storage platforms.
Saviynt: Provides AI-powered identity governance and cloud security platforms.
ML platform or MLOps engineer with production Ray experience; LLM serving, distributed training, Python and PyTorch; MLflow/Flyte; Bachelor's degree in CS/Engineering.
Ray Train, Ray Serve, Ray Core, Ray Data, vLLM, SGLang, NVIDIA Triton, TorchTrainer, DDP, NCCL, PPO, RLlib, Flyte, MLflow, Qdrant, Pgvector, PyTorch, Python
JPMorgan ChaseNYSE: JPM: Global financial services firm providing banking and investment solutions.
7+ YOE7+ years software engineering experience; strong Python and PyTorch/TensorFlow; experience with vector storage, agentic AI and LLM deployment, MLOps and CI/CD, cloud (AWS or Azure); leadership and responsible AI practices.
San Francisco or New York City or Portland or United States or Canada
$167k-$208k/yrHybridFull Time
Mercury: Banking services and financial software designed for startup companies.
5+ YOE5+ years in ML engineering/MLOps or backend engineering; production ML service experience; strong Python and API framework skills (FastAPI/Flask); model deployment, CI/CD, registries, observability, SQL, low-latency stores, and streaming pipelines.
New York City or Chicago or San Francisco or Dublin
$126k-$216k/yrOnsiteFull Time
Integral Ad ScienceNASDAQ: IAS: Software platform providing digital media measurement and advertising optimization.
8+ YOE5+ Mgmt8+ years software development experience with 5+ years leading engineering teams; hands-on experience building and deploying scalable AI/ML systems; BS/MS/PhD in CS, Data Science, ML or related STEM; strong communication and system design skills.
Tamarind Bio: AI-powered platform for computational biology and drug discovery.
Strong engineering fundamentals (Python preferred); experience with AI/ML systems or data pipelines; adaptable in fast-moving environments; strong communication; onsite in San Francisco.
Newport Beach or Irvine or Denver or San Francisco or Seattle or Cambridge
$200k-$225k/yrHybridFull Time
Compa: AI-powered compensation intelligence platform for enterprise teams.
8+ YOE8+ years engineering experience with infrastructure/platform focus; managed Kubernetes (EKS/GKE/AKS), Python, production experience across at least two of AWS/GCP/Azure, observability tooling, and high ownership.
Tata Consultancy ServicesNational Stock Exchange of India: TCS: Global provider of IT services, consulting, and business solutions.
8+ YOEExpertise in Python, AWS ML, ML fundamentals, model deployment/MLOps, SQL, and working with structured/unstructured data; 8+ years experience preferred; bachelor's in computer science.