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AI/ML Architect

Vings Technologies

San Jose, California • Today

Easy Apply

Contract

Depends on Experience

AI/ML Architect

QUANTUM TECHNOLOGIES LLC

Remote • 2d ago

Easy Apply

Contract

$60 - $70

Agentic AI Architect / AI-ML Architect/Lead AI Engineer

Rayomind Software Solutions LLC, DBA, Hire'in Solutions

Santa Clara, California • Yesterday

Easy Apply

Contract

Depends on Experience

ML / AI Platform Architect

Avacend, Inc.

Remote • Today

Easy Apply

Contract

Depends on Experience

AI/ML Solution Architect – Generative AI & Agentic AI

Apexon

Remote • 11d ago

Easy Apply

Full-time, Third Party

0 - 0

AI/ML Solution Architect (Generative AI & Agentic AI)

ClifyX

Remote • 8d ago

Easy Apply

Contract

Depends on Experience

Principal Engineer AI/ML

Adobe Systems

San Jose, California • Today

Full-time

USD 206,400.00 per year

AI/ML Engineer - (Onsite interview in San jose,CA)

EdgeAll

San Jose, California • Today

Easy Apply

Contract, Third Party

Depends on Experience

AIML - ML Engineer, Responsible AI and Safety

Apple, Inc.

Cupertino, California • Today

Full-time

Staff Software Development Engineer: GPU, Computer Vision, AI/ML Ops

AMD (Advanced Micro Devices)

Santa Clara, California • Today

Full-time

USD 150,500.00 per year

AI/ML Engineer

NMK Global Inc.

Santa Clara, California • Today

Easy Apply

Third Party, Contract

Depends on Experience

Machine Learning Engineer - AI Evaluation & LLM Systems

Apple, Inc.

Cupertino, California • Today

Full-time

Staff ML Infrastructure Engineer - Embodied AI Scaling Foundations

General Motors

Sunnyvale, California • Today

Full-time

USD 189,300.00 - 290,700.00 per year

Architecture & Algorithms / Agentic AI ML Engineer (Level 2 - 3)

Lockheed Martin Corporation

Sunnyvale, California • 5d ago

Full-time

USD 89,300.00 - 157,435.00 per year

AI / Machine Learning Talent

Ensemble Health Partners

San Jose, California • Today

Full-time

Compensation information provided in the description

System Performance Engineer - AI/ML, Platform Architecture

Apple, Inc.

Santa Clara, California • Today

Full-time

AI/ML Software Engineer

Apple, Inc.

Sunnyvale, California • Today

Full-time

AI/ML Evaluation Specialist, Human Data

Apple, Inc.

Cupertino, California • Today

Full-time

Senior Machine Learning Engineer - AI Foundation

XPENG

Santa Clara, California • Today

Full-time

USD 174,720.00 - 295,680.00 per year

Staff Machine Learning Engineer - AI Foundation

XPENG

Santa Clara, California • Today

Full-time

USD 215,280.00 - 364,320.00 per year

Senior Machine Learning Engineer, Recommendation & AI Applications

NewsBreak

Mountain View, California • Today

Full-time

USD 195,000.00 - 230,000.00 per year

SW Optimization Engineer AI/ML

Apple, Inc.

Cupertino, California • Today

Full-time

Staff Software Engineer AI/ML

Samsung Electronics America

San Jose, California • Today

Full-time

USD 163,000.00 - 253,000.00 per year

Senior Staff Engineer, GPU Architect, Machine Learning

Samsung Electronics America

San Jose, California • Today

Full-time

USD 198,200.00 - 297,200.00 per year

AI/ML Engineer - Model Inference

General Motors

Sunnyvale, California • Today

Full-time

USD 117,700.00 - 221,400.00 per year

AI/ML Silicon Verification Solutions Engineer - Tools

AMD (Advanced Micro Devices)

San Jose, California • Today

Full-time

USD 145,600.00 per year

Software Engineer- GPU/AI/ML

AMD (Advanced Micro Devices)

Santa Clara, California • Today

Full-time

USD 178,500.00 per year

Senior Staff Machine Learning Engineer - Agentic AI

ServiceNow, Inc.

Santa Clara, California • Today

Full-time

USD 201,300.00 - 352,300.00 per year

Staff Machine Learning Engineer, Recommendation & AI Platform

NewsBreak

Mountain View, California • Today

Full-time

USD 230,000.00 - 300,000.00 per year

AI Architect

Vidorra Consulting Group

San Jose, California • Today

Easy Apply

Full-time

Job Details

Skills

Agentic AI
ADK
Python

Summary

Job Title: AI/ML architect
Location: San Jose, CA(Onsite)
Contract: 6-9+ months.
Experience: 09+ years

Job Description:
Mandatory Skills: Agentic AI/ADK/Python

We are looking for a skilled MLOps Architect to join our team and help us build, deploy, and maintain robust and scalable machine learning systems. You will be responsible for the full lifecycle of our ML pipelines, from data ingestion to model serving. This is a hands-on role where you will design and implement automated workflows, ensure data quality, and manage model deployments in a production environment.
Responsibilities

Data and Feature Pipelines: Design, build, and manage automated data ingestion, transformation, and validation pipelines using services like Kubeflow Pipelines and Vertex AI Pipelines.
Feature Engineering: Implement and containerize feature engineering logic for diverse datasets, ensuring reusability and scalability.
Data Validation: Integrate and manage data validation processes, including leveraging advanced techniques like AI Agents and the Generative Language API to automatically detect and remediate data quality issues.
Model Training and Experimentation:

Set up and maintain automated continuous training (CT) pipelines using Vertex AI Pipelines (Schedules) and Cloud Scheduler.
Implement experiment tracking to log and compare model parameters, metrics, and artifacts.
Configure and execute Hyperparameter Tuning jobs using Vertex AI Training to optimize model performance.

Model Management: Establish a robust Model Versioning system to manage and store model artifacts securely in a centralized repository (Cloud Storage).
Deployment and Serving:

Containerize ML models and their dependencies using Docker and manage images with Artifact Registry.
Build and maintain CI/CD workflows for ML models, ensuring seamless and automated deployment.
Configure and manage low-latency production serving environments using Vertex AI Endpoints for real-time inference.

Qualifications

Strong experience with Google Cloud Platform (Google Cloud Platform) services, specifically in the MLOps and ML domain (Vertex AI, Kubeflow, Cloud Storage, Artifact Registry).
Proven ability to design and implement end-to-end ML pipelines for data management, model training, and deployment.
Hands-on experience with containerization technologies like Docker.
Familiarity with CI/CD practices and pipeline automation.
Knowledge of ML frameworks like TensorFlow, and experience with experiment tracking and hyperparameter tuning.
Excellent problem-solving skills and a strong understanding of the ML lifecycle.

Experience with the Generative Language API (Gemini model) or other AI Agent integrations is a plus.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90942645
Position Id: 9062124
Posted 1 day ago

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Sunnyvale, California

•

Today

Design and implement cloud solutions, build MLOps on cloud (AWS or Google Cloud Platform)Build CI/CD pipelines orchestration by GitLab CI, GitHub Actions, Flux, Kustomize, Circle CI, Airflow or similar toolsData science model containerization, deployment using docker, VLLM, KubernetesData science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its qualityData science models testing, validation and tests automationCommunicate wi

Easy Apply

Third Party, Contract

$50 - $60

Senior MLOps & AI Infrastructure Engineer

San Jose, California

•

Today

Job Details: Job Description: About Altera At Altera , our independence as the world's largest pure-play FPGA solutions provider gives us the focus, speed, and agility to innovate without compromise. With more than four decades of industry-leading FPGA expertise, our singular mission is to deliver the programmable technologies that help customers differentiate, innovate, and scale across rapidly evolving markets like AI, cloud, networking, and edge. As an independent company, we move faster,

Full-time

USD 149,100.00 - 215,925.00 per year

Sr. Machine Learning Engineer - Apple News

Cupertino, California

•

Today

Apple News is seeking an experienced Machine Learning Engineer to build, operate, and scale the systems that power intelligent features for millions of people every day. In this role, you will bring deep expertise in model serving, deployment pipelines, distributed systems, and ML platform infrastructure; enabling the team to ship reliable, high-performance ML-powered features across content tagging, ranking, and personalization. You are someone who thrives at the intersection of software engine

Full-time

Sr. ML Production Model Automation Engineer, Siri Speech

Cupertino, California

•

Today

Join the team redefining what a deeply personal and integrated assistant can be. As part of the Siri organization, you will help shape one of the world's most widely used AI assistants, powered by our next-generation of Apple Intelligence, with capabilities like personal context understanding and on-screen awareness, built with privacy from the ground up. Your work will have direct, meaningful impact for users across iOS, iPadOS, macOS, watchOS, and visionOS. This is a rare opportunity to buil

Full-time