Machine Learning Jobs in Tucson, AZ

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Machine Learning Engineer

Kforce Technology Staffing

Remote or Beaverton, Oregon, USA

Contract

RESPONSIBILITIES: Kforce has a client in Beaverton, OR that is seeking a Machine Learning Engineer. REQUIREMENTS: Knowledge of: * Techniques for model compression, quantization, and optimization for deployment in resource-constrained environments * Distributed computing frameworks like Apache Spark and GPU acceleration tools like CUDA for efficient model training and inference * Using data visualization libraries like Matplotlib, Seaborn, Plotly, and tools like Tableau, Splunk, and SignalFX for

Open-Source Machine Learning Engineer - International Remote

Hugging Face

Remote or New York, New York, USA

Full-time

Description Here at Hugging Face, we're on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better. We have built the fastest-growing, open-source, library of pre-trained models in the world. With more than 1 Million+ models and 320K+ stars on GitHub, over 15.000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Grammarly and NASA.

Senior Machine Learning Engineer

Nelnet

Remote

Full-time

Nelnet Business Services (NBS), a division of Nelnet, Inc., provides payment technology, education services, and learning management solutions to education and faith-based organizations, serving more than 1,300 higher education institutions, 11,500 K-12 schools, 3,500 churches, and millions of individual students, families, and supporters across the globe. Our culture of service enables us to form long-lasting and trusted partnerships, while our focus on creativity and innovative solutions empow

Remote ML Ops Engineer

Apex Systems

Remote or Johnston, Iowa, USA

Full-time

Job#: 2029742 Job Description: Apex Systems is seeking a Machine Learning Operations Engineer for our Des Moines, IA based client. This role will deploy internal and external/ open-source ML frameworks/models and pipeline in production Kubefarm ensuring seamless functioning of the pipeline. Interested candidates should send their resume to Hunter at Responsibilities Experience in creating and managing production scale Kubernetes clusters, Deep understanding of Kubernetes networkingAn understand

On-device ML Engineer - US Remote

Hugging Face

Remote or New York, New York, USA

Full-time

Description Here at Hugging Face, we're on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better. We have built the fastest-growing, open-source, library of pre-trained models in the world. With more than 1 Million+ models and 320K+ stars on GitHub, over 15.000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Grammarly and NASA.

Machine Learning 3

Kforce Technology Staffing

Remote or Beaverton, Oregon, USA

Contract

RESPONSIBILITIES: Kforce has a client that is seeking a Machine Learning 3 in Beaverton, OR. Responsibilities: * Machine Learning 3 will develop and program integrated software algorithms to structure, analyze and leverage data in product and systems applications in both structured and unstructured environments * Develops and communicates descriptive, diagnostic, predictive and prescriptive insights/algorithms * In product/systems improvement projects uses machine language and statistical model

Product Software Engineer, ML Platform - US Remote

Hugging Face

Remote or New York, New York, USA

Full-time

Description Here at Hugging Face, we're on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better. We have built the fastest-growing, open-source, library of pre-trained models in the world. With more than 1 Million+ models and 320K+ stars on GitHub, over 15.000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Grammarly and NASA.

Staff Product Designer, AI/ML

ServiceNow, Inc.

Remote or San Diego, California, USA

Full-time

Company Description At ServiceNow, our technology makes the world work for everyone, and our people make it possible. We move fast because the world can't wait, and we innovate in ways no one else can for our customers and communities. By joining ServiceNow, you are part of an ambitious team of change makers who have a restless curiosity and a drive for ingenuity. We know that your best work happens when you live your best life and share your unique talents, so we do everything we can to make t

Data Product Machine Learning Engineer

Tradeweb Markets LLC

Remote or Jersey City, New Jersey, USA

Full-time

Be part of a new function at Tradeweb, building data products for our clients. You will be working closely with all lines of business as they research new products from our vast reservoir of data. You will be building cutting edge applications that reveal new insights into all of Tradeweb?s businesses. The candidate will have the opportunity work on a wide range of use cases from simple customer facing data APIs to large scale machine learning models. Job Responsibilities Work closely with Tra

Machine Learning Engineer

Robert Half

Remote or Las Vegas, Nevada, USA

Full-time

Description Robert Half is seeking a full-time Machine Learning Engineer to join an innovative team. In this role, you will work closely with the data science, product, and other key departments to enhance our website's functionality and user experience through advanced machine learning models and algorithms. You will be instrumental in identifying and implementing ML solutions to solve complex problems and improve our products. Essential Duties & Responsibilities Collaboration: Work with data

ML Engineer (L5) - Ads Platform Engineering

Netflix, Inc.

Remote

Full-time

Netflix is one of the world's leading entertainment services with over 260 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. In April 2022, we introduced new, more affordable, ad-supported tier for our customers, marking a significant milestone for Netflix. Our focus is now on expanding choice

Senior Post-Sales Machine Learning Engineer - US Remote

Hugging Face

Remote

Full-time

Description Here at Hugging Face, we're on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better. We have built the fastest-growing, open-source, library of pre-trained models in the world. With more than 1 Million+ models and 320K+ stars on GitHub, over 15.000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Grammarly and NASA.

Post-Sales Machine Learning Solutions Engineer - US Remote

Hugging Face

Remote

Full-time

Description Here at Hugging Face, we're on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better. We have built the fastest-growing, open-source, library of pre-trained models in the world. With more than 1 Million+ models and 320K+ stars on GitHub, over 15.000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Grammarly and NASA.

Cloud Machine Learning Engineer - US remote

Hugging Face

Remote

Full-time

Description Here at Hugging Face, we're on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better. We have built the fastest-growing, open-source, library of pre-trained models in the world. With more than 1 Million+ models and 320K+ stars on GitHub, over 15.000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Grammarly and NASA.

Machine Learning Engineer, Fast Optimized Inference - US Remote

Hugging Face

Remote

Full-time

Description Here at Hugging Face, we're on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better. We have built the fastest-growing, open-source, library of pre-trained models in the world. With more than 1 Million+ models and 320K+ stars on GitHub, over 15.000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Algolia, Grammarly an

Machine Learning Engineer (Security)

Tential

Remote or Vienna, Virginia, USA

Contract

Our client, a leading Banking & Financial Services company, is seeking a talented Machine Learning Engineer to join their Security team. Responsibility: Build and enhance machine learning models through all phases of development including design, training, validation, and implementation etc. Unlock insights by analyzing large scale of complex numerical and textual data and identifying trends. Partner with a cross-functional team of data engineers, data scientists, and data visualization to deli

Machine Learning Engineer in the Optimization team - US Remote

Hugging Face

Remote

Full-time

Description Here at Hugging Face, we're on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better. We have built the fastest-growing, open-source, library of pre-trained models in the world. With more than 1 Million+ models and 320K+ stars on GitHub, over 15.000 companies are using HF technology in production, including leading AI organizations such as Google, Elastic, Salesforce, Grammarly and NASA.

Machine Learning Engineer (MLOps)

Xoriant Corporation

Remote

Contract

JOB SUMMARY: We are looking for a Machine Learning Engineer to join Emerging Technology Group to be part of our AI and data insight journey. Additionally, this person will help drive our AI implementations related technologies/solutions to address current and future business opportunities. This person must have strong experience with prompt engineering, designing, developing/deploying ML systems, implementing appropriate ML algorithms, conducting experiments, and staying updated with the latest