software engineer, machine learning Jobs in san jose, ca

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Lead/Senior Full Stack Engineer (Node & React) with AI/ML

iSpace, Inc

Remote

Contract

Only on W2, NO C2C/1099 Title: Lead Full Stack Engineer (Node & React) with AI/ML Position type: 12+ Months contract to start (could go for over 1-2 years) Location: Remote Top Skills: Node. JS, React, State Management, MySQL, AWS, Docker, Kubernetes, Open AI/Chat GPT, lead experience with both onshore and offshore. Qualifications: 7+ years of experience building complex web applications.Solid work experience using component-based development on the client side.Proficiency with front-end techn

ML/ GEN AI - Python Developer

SANS

Remote

Contract

Job Title - MLOPs Developer Location - Remote Duration - 12+ Months Experience in developing code in Python and TypeScript is needed, with an understanding of Gen AI Job Summary: We are seeking an experienced AI/ML Developer to join our client team. The ideal candidate will create, code, deploy, optimize, and manage machine learning models and AI solutions hosted on the Azure platform. This includes integrating OpenAI models and interfaces as well as handling cutting-edge AI frameworks such as

Senior Distinguished Engineer - CEP Experimentation and Feature Management Platform (Remote Eligible)

Capital One

Remote or McLean, Virginia, USA

Full-time

Senior Distinguished Engineer - CEP Experimentation and Feature Management Platform (Remote Eligible) As a Senior Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Senior Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solut

Data Engineer (L5) - Ads

Netflix, Inc.

Remote

Full-time

Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time. Who are we? Netflix is the world's leading internet entertainment service with over 220+ million memberships in over 190 countries enjoying TV series, documentaries and fea

Sr. NLP Data Scientist/Machine Learning Engineer

Satsyil Corporation

Remote

Full-time

Role: Sr NLP Data Scientist/Machine Learning Engineer. Location: 1775 Tysons Blvd, VA Duration: FTE. Job Description: They will play a role as an expert consultant to federal agency partners, develop project plans and manage delivery activities, providing leadership and influencing adoption of technical AI/ML solutions. Evaluate the integration of Artificial Intelligence (AI) solutions into next generation tools and processes to enhance technology solutions to support continuous improvements and

Lead AI Developer | Azure OpenAI & ML Architect

Oscar Technology

Remote

Full-time

Job Title: Lead AI Developer - Azure OpenAI & ML Architect Location: Remote (U.S. Preferred) Type: Full-time Compensation: Competitive salary + Equity options + Performance bonus About the Company We are a fast-growing AI platform company focused on building secure, enterprise-grade generative AI tools for industries with strict compliance requirements. Our mission is to enable legal, finance, and operational teams to safely leverage large language models for document creation, summarization, an

Distributed Systems Engineer (L5) - Data Platform

Netflix, Inc.

Remote

Full-time

Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time. The data platform teams at Netflix enable us to leverage data to bring joy to our members in many different ways. We provide centralized data platforms and tools for va

Distributed Systems Engineer (L4) - Data Platform

Netflix, Inc.

Remote

Full-time

Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time. The Data Platform teams at Netflix enable us to leverage data to bring joy to our members in many different ways. We provide centralized data platforms and tools for va

Machine Learning developer with AI

Ab Ovo Inc

Santa Clara, California, USA

Contract

Description: Need a expert in Machine Learning including building ML LLMs. Need at least 2 years of expertise in AI development. Ideal candidate will have experience in Gen AI/Traditional AI as well as Agentic AI but either one of the 2 is an absolute must. Remarks: - Rate - Market rate- 2 rounds of interview @ 45 to 60 minutes each over video and coding- 6 months to begin with but will go longer- Local to the bay area is highly preferred but a Rockstar candidate can work remotely as well as lon

ML Senior Engineers

Caspex Corporation

Sunnyvale, California, USA

Third Party, Contract

Role: ML Senior Engineers Location: Sunnyvale, CA Duration: 6+ Months Technical Skills Must have: Expertise in Python and experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).Strong Experience in deployment/devops technologies: CI/CD pipelines, Kubernetes/Docker, and infrastructure-as-code tools (Terraform, Ansible, etc.). and cloud-native architectures (Google Cloud Platform and Aruze), monitoring and observability for ML workloadsAdvanced understanding of ML pipeline orchest

AI/ ML Engineer

Resource 1

Remote

Contract

Resource 1 is in need of an Artificial Intelligence (AI)/ Machine Learning (ML) Engineer for a long-term, remote contract position. Responsibilities: Architect, build, maintain and improve new and existing suite of algorithms and their underlying systemsImplement end-to-end solutions for batch and real-time algorithms along with requisite tooling around monitoring, logging, automated testing, performance testing and A/B testingEstablish scalable and efficient automated processes for data analyse