30 mlops manager jobs at 14 companies in Marina, CA
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DevOps, MLOps & Security Engineering Lead
San Jose, California, United States
$140k-$170k/yrHybridFull Time
KlearNow.AI: AI platform for digital customs brokerage and logistics management.
Engineering leader with hands-on DevSecOps experience across AWS and GCP, CI/CD and IaC expertise, AI infrastructure (GPU/compute provisioning, model serving), cloud security, and scripting in Python/Bash/Go/Java.
AdobeNASDAQ: ADBE: Provides software for digital media creation and marketing analytics
6+ YOE6+ years technical program management with experience shipping AI/ML or GenAI features, working knowledge of agentic architectures, RAG, prompt/eval frameworks, MLOps, product strategy, and strong executive communication.
Frisco or Newport Beach or San Jose or New York or Toronto
$124k-$204k/yrHybridFull Time
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.
Senior Principal Engineer- MLOps & AI Machinery, ADAS/AV
Sunnyvale, California, United States
$240k-$320k/yrHybridFull Time
Bosch: Global manufacturer of automotive and industrial engineering technology.
10+ YOEMaster's or PhD in CS/Robotics/EE/AI, 10+ years in software/system engineering for autonomous driving or ADAS, experience releasing L2+ AI systems, knowledge of training pipelines, model optimization, and embedded deployment.
TensorFlow, PyTorch, Python, C++, MLOps, CICD, SIL, HIL
Tata Consultancy ServicesNational Stock Exchange of India: TCS: Global provider of IT services, consulting, and business solutions.
8+ YOE8+ years program management experience delivering AI/ML initiatives; strong stakeholder communication, data-driven decision making, and technical understanding of ML lifecycle and dataset strategy.
FiservNew York Stock Exchange: FI: Provides financial technology and payment processing services to institutions.
12+ YOE12+ years product management experience with leadership in AI/Generative AI, SaaS or payments platforms; deep ML/GenAI knowledge; experience scaling products and leading cross-functional teams; US work authorization required.
Atlanta or Bellevue or Chicago or Carpinteria or Detroit or New York City or Omaha or Sunnyvale or San Francisco or Washington
$131k-$212k/yrHybridFull Time
LinkedInNASDAQ: MSFT: Professional social network for career development and job recruitment.
5+ YOE2+ MgmtBachelor's in related field,5+ years in data roles,2+ years leadership,experience with data strategy,architecture,platforms;strong analytical,communication,and stakeholder skills.
Spring or San Jose or Durham or Fort Collins or Andover
$170k-$413k/yrHybridFull Time
Hewlett Packard EnterpriseNYSE: HPE: Provides global edge-to-cloud technology solutions and IT infrastructure services.
15+ YOE5+ MgmtBachelor's in CS/engineering required; 15+ years product management experience with 5+ years AI/ML product leadership; experience building AI/ML platforms, inference/model serving, GPU ecosystem, executive communication, and GTM strategy.
GreenLake, GenAI, GPU, agent frameworks, AI tools, MLOps, DevOps, SaaS
Senior Product Leader & Strategist, AI Networking Solutions
Cupertino, California, United States
$194k-$413k/yrHybridFull Time
Hewlett Packard EnterpriseNYSE: HPE: Providing global edge-to-cloud infrastructure and IT solutions for businesses.
10+ YOEBachelor's degree and 10+ years in product management, strategy, or leadership. Requires experience launching AI products, AI architecture knowledge, enterprise software strategy, and cross-functional leadership.
machine learning, large language models (LLMs), generative AI, agentic AI frameworks, AIOps, MLOps
Senior Product Leader & Strategist, AI Networking Solutions
Cupertino, California, United States
$194k-$413k/yrHybridFull Time
Hewlett Packard EnterpriseNYSE: HPE: Provides edge-to-cloud IT infrastructure and platform services.
10+ YOEBachelor's degree and 10+ years in product management, strategy, or leadership. Requires AI product experience, knowledge of LLMs, generative AI, agentic frameworks, enterprise software, and cross-functional leadership.
machine learning, large language models (LLMs), generative AI, agentic AI frameworks, AIOps, MLOps
WalmartNYSE: WMT: Multinational retail operating discount stores and supermarkets.
5+ YOERequires a bachelor's degree and 5 years, master's degree and 3 years, or 7 years of analytics experience; expertise in machine learning, statistical analysis, Python, SQL, MLOps, experimentation, and cloud platforms.
Applied MaterialsNASDAQ: AMAT: Produces equipment and services for chip and display manufacturing.
15+ YOE7+ Mgmt15+ years in software engineering/AI/ML with 7+ years leading large engineering or AI teams; experience with enterprise-scale AI/GenAI, MLOps, RPA, LLMs, governance, and production deployment.
Applied MaterialsNASDAQ: AMAT: Manufacturers of equipment for semiconductor and display production.
15+ YOE7+ Mgmt15+ years in software/AI/ML with 7+ years leading large engineering or AI teams; experience delivering enterprise-scale AI/GenAI, MLOps, multi-cloud AI, RPA at scale; Python and LLM expertise.
Principal AI Engineer – AI Acceleration & Enterprise Enablement
Irving or Atlanta or Hopkins or Cupertino or Charlotte or Chicago or Denver
$150k-$176k/yrHybridFull Time
U.S. BankNYSE: USB: Provider of personal, business, and institutional financial services.
8+ YOEBachelor's or equivalent experience,8+ years relevant experience designing enterprise AI/GenAI solutions,expertise with LLMs,Agentic AI,RAG,Prompt Engineering,MLOps,Python,APIs,Azure AI/OpenAI,architecture and governance.
Johnson & JohnsonNYSE: JNJ: Develops and manufactures pharmaceutical drugs and medical devices.
10+ YOEMS or PhD in ML/AI/CS, 10+ years applied ML engineering experience, deep computer vision expertise, production model deployment on cloud/edge, advanced PyTorch and Python skills, MLOps/platform product competence.
Johnson & JohnsonNYSE: JNJ: Provides pharmaceutical products and medical technology healthcare solutions.
10+ YOEMS or PhD in ML/AI/Computer Science or related, 10+ years applied ML/AI experience with production systems, deep computer vision expertise, PyTorch and Python proficiency, experience deploying models to cloud/edge, and strong product/MLOps competence.
20+ YOE5+ MgmtExecutive leader with 20+ years enterprise technology experience, 5+ years in VP-level roles; deep AI/ML and GTM systems expertise; hands-on knowledge of Salesforce, CPQ, billing, and modern AI stacks.
NVIDIANASDAQ: NVDA: Designs GPU-accelerated computing and artificial intelligence hardware.
15+ YOEMaster's/PhD or equivalent experience in a quantitative field; 15+ years software experience and 8+ years in statistics/AI/ML; hands-on Python, SQL, Java, Scikit-learn, Pytorch, TensorFlow; experience with Spark, Pandas, Delta Lake, Databricks; excellent communication.