machine learning Jobs in tucson, az

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AI/ML Engineer / Architect (TX & FL)

Infinite Computer Solutions (ICS)

Remote

Contract

As an AI/ML Architect, you will be responsible for designing, implementing, and overseeing the development of artificial intelligence and machine learning solutions. You will work closely with cross-functional teams to understand business requirements, identify opportunities for AI/ML integration, and lead the design and implementation process. This role requires a deep understanding of AI/ML technologies, strong problem-solving skills, and the ability to communicate complex technical concepts t

Sr. DevOps Engineer (Machine Learning)/MLOPS - Fulltime Only

CitiusTech

Remote

Full-time

Role: Sr. DevOps Engineer (Machine Learning)/MLOPS Location: Remote Duration: Fulltime Position Summary This individual will design, build, and maintain the infrastructure that supports our data science and machine learning workflows.The ideal candidate will have deep expertise in cloud platforms, infrastructure as code, and DevOps practices.They will collaborate closely with data scientists, DevOps teams, and other stakeholders to ensure our infrastructure is robust, scalable, and secure.Teamm

Machine Learning Engineer

Kforce Technology Staffing

Remote or Atlanta, Georgia, USA

Contract

RESPONSIBILITIES: Kforce is has a client that is seeking a fully remote Machine Learning Engineer to join their team. Overview: The goal of this role is to help them accelerate on their machine learning projects/applications. The Machine Learning Engineer will be assisting other teams for MLOps projects to deliver an end-to-end production ready ML model pipeline for deep learning and non-representation-based ml model using Vertex AI, MLFLOW, TensorFlow, Pytorch, Sci-kit learn TensorFlow Serving

Software Engineer, Machine Learning

Meta Platforms, Inc. (f/k/a Facebook, Inc.)

Remote

Full-time

Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following position in Menlo Park, CA: Software Engineer, Machine Learning: Research, design, develop, and test machine learning solutions and self-running software to automate predictive models for massive social data and prediction problems. Telecommute from anywhere in the U.S. permitted. (ref. code REQ-2404-135816: $221,596/year - $240,240/year). Individual pay is determined by skills, qualifications, experience, and location. Compensation

Data Science with ML

Astir IT Solutions

Remote

Contract

Experience with Machine Learning, Data Science, Data Engineering principles and technologies such as R, Python, SQL. Experience delivering and managing AI/ML based software products. Experience with agile software development methodology. Proven experience with data engineering and ETL techniques using data from a wide variety of data sources. Rigorous understanding of statistics/machine learning and ability to discern appropriate analytics techniques to problem-solve. Knowledge of data warehous

ML-OPS Engineer

Heliogic LLC

Remote

Full-time

Title: ML-OPS Engineer Remote: Yes Position type: Full-Time Skills: Python, SQL, ML, AWS, Sagemaker, Deep Learning. Train and Deploy ML Models using Python 7+ years of Experience in Machine Learning models in Python Proficiency in ML techniques like Regression, Classification, Clustering, Recommender Systems, Forecasting etc. MLOps experience is a bonus Experience on working on AWS Ability to deploy ML models with REST based APIs Experience with Docker/Kubernetes Experience in working with tool

ML Engineer

Cognier Inc

Remote

Contract, Third Party

ML Engineer San Jose, CA / Remote A Master's or Ph.D. degree in Computer Science, Statistics, Data Science, or a related field. Solid knowledge of software engineering best practices, including version control systems (e.g., Git), code reviews, and testing methodologies.Backend Server & SDK development - programming languages (GO/GRPC, Java, Python) Google Cloud Platform Vertex AI Components and SDK Experience Expereince with React UI is needed Mandatory Skills: (Go or Python or GRPC or Java),

Software Engineer, Machine Learning (REMSWE16)

Meta Platforms, Inc. (f/k/a Facebook, Inc.)

Remote

Full-time

Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following position in Menlo Park, CA: REMOTE Software Engineer, Machine Learning (REMSWE16): Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. Telecommute from anywhere in the U.S. permitted. (ref. code REQ-2404-136506: $218,871/year - $240,240/year). Individual pay is determined by skills, qualifications, experience, and location.

Software Engineer, Machine Learning (REMSWE16)

Meta Platforms, Inc. (f/k/a Facebook, Inc.)

Remote

Full-time

Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following position in Menlo Park, CA: REMOTE Software Engineer, Machine Learning (REMSWE16): Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. Telecommute from anywhere in the U.S. permitted. (ref. code REQ-2404-136120: $240,639/year to $250,265/year). Individual pay is determined by skills, qualifications, experience, and location

Software Engineer, Machine Learning

Meta Platforms, Inc. (f/k/a Facebook, Inc.)

Remote

Full-time

Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following position in Menlo Park, CA: REMOTE Software Engineer, Machine Learning: Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. Telecommuting is permitted from anywhere in the U.S. (ref. code REQ-2405-137336: $200,245/year - $240,240/year). Individual pay is determined by skills, qualifications, experience, and location. Compen

Software Engineer, Machine Learning

Meta Platforms, Inc. (f/k/a Facebook, Inc.)

Remote

Full-time

Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following position in Menlo Park, CA: REMOTE Software Engineer, Machine Learning: Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. Telecommuting is permitted from anywhere in the U.S. (ref. code REQ-2405-137400: $242794/year - $252,505/year). Individual pay is determined by skills, qualifications, experience, and location. Compens

Software Engineer (Machine Learning)

Meta Platforms, Inc. (f/k/a Facebook, Inc.)

Remote

Full-time

Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following position in Menlo Park, CA: REMOTE Software Engineer (Machine Learning): Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. Telecommuting is permitted from anywhere in the U.S. (ref. code REQ-2405-136789: $181,272/year - $200,200/year). Individual pay is determined by skills, qualifications, experience, and location. Compe

Software Engineer, Machine Learning

Meta Platforms, Inc. (f/k/a Facebook, Inc.)

Remote

Full-time

Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following position in Menlo Park, CA: REMOTE Software Engineer, Machine Learning: Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. Telecommuting is permitted from anywhere in the United States. (ref. code REQ-2405-137023: $204,598/year - $240,240/year). Individual pay is determined by skills, qualifications, experience, and locati

Software Engineer, Machine Learning

Meta Platforms, Inc. (f/k/a Facebook, Inc.)

Remote

Full-time

Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following position in Menlo Park, CA: Software Engineer, Machine Learning: Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. Telecommute from anywhere in the U.S. permitted. (ref. code REQ-2404-135425: $245,588/year - $290,180/year). Individual pay is determined by skills, qualifications, experience, and location. Compensation deta

Software Engineer, Machine Learning

Meta Platforms, Inc. (f/k/a Facebook, Inc.)

Remote

Full-time

Meta Platforms, Inc. (f/k/a Facebook, Inc.) has the following position in Menlo Park, CA: Software Engineer, Machine Learning: Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems. Telecommute from anywhere in the U.S. permitted. (ref. code REQ-2404-136676: $215,197/year - $240,240/year). Individual pay is determined by skills, qualifications, experience, and location. Compensation deta

Open-Source ML Release 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.

Software Engineer (L4), Consumer ML Model Compute /6 Serving Systems

Netflix, Inc.

Remote

Full-time

Netflix is the world's leading streaming entertainment service, with over 230 million paid memberships in over 190 countries, enjoying TV series, documentaries, and feature films across various genres and languages. Members can watch or play as much as they want, anytime, anywhere, on any internet-connected screen. Machine Learning/Artificial Intelligence powers numerous aspects of the Consumer Experience, including innovation in content discovery and personalization for members, identifying an

Senior Data Scientist, ML and Algorithms (Remote)

AllTrails

Remote or San Francisco, California, USA

Full-time

About AllTrails AllTrails is the most trusted and used outdoors platform in the world. We help people explore the outdoors with hand-curated trail maps along with photos, reviews, and user recordings crowdsourced from our community of millions of registered hikers, mountain bikers, and trail runners in 150 countries. AllTrails is frequently ranked as a top-5 Health and Fitness app and has been downloaded by over 50 million people worldwide. AllTrails was selected as Apple's App of the Year in 2