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Diverse Lynx
Los Angeles, CA, United States
Requirement ID: 9100016 Posted On: Aug-24-2023 Role name: MLOps Engineer/ Machine Learning Role Description: Work as an MLOps Engineer Competencies: Digital : Machine Learning Experience (Years): 8-10 Essential Skills: Supporting Data scientists with Sage maker best practices and issue resolution Enabling hybrid Client workflows integr
Job Source: Diverse LynxCanonical - Jobs
Los Angeles, CA, United States
Job Description Job Description Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's le
Job Source: Canonical - JobsAcceler8 Talent
, CA, United States
Join Our Team: Machine Learning Engineer (MLOps) Seeking talented individuals to join our team as an MLOps Engineer. Here's your chance to work on cutting-edge machine learning projects alongside MIT PhDs who are prominent in ML research. What You'll Do: Work on cutting-edge MLOps projects with guidance from a team of MIT PhDs. Pioneer novel soft
Job Source: Acceler8 TalentStealth Startup
, CA, United States
About Us We're building a co-pilot for hardware designers. Our mission is to enable 9M mechanical engineers to iterate through designs 1000x faster. We are building our geometry + physics driven foundation model for each class of part design We’ve raised a first round of capital from Khosla Ventures. Responsibilities You’ll be a force multiplier
Job Source: Stealth StartupLogic20/20 Inc.
Los Angeles, California
Job Description Logic20/20 is seeking a Machine Learning Engineer to lead data science teams that are utilizing artificial intelligence and machine learning to predict and analyze computer vision or customer intent models. This is an exciting opportunity to make an impact by leveraging AI and ML techniques to create production-level systems throug
Job Source: Logic20/20 Inc.Logic20/20 Inc.
Los Angeles, California
Job Description Logic20/20 is seeking a Machine Learning Engineer to lead data science teams that are utilizing artificial intelligence and machine learning to predict and analyze computer vision or customer intent models. This is an exciting opportunity to make an impact by leveraging AI and ML techniques to create production-level systems throug
Job Source: Logic20/20 Inc.Understanding Recruitment
, CA, United States
Data Engineer - Fully Remote (US) Looking to join a Series B backed by some of the most prominent VCs in the Bay Area? This is a fantastic opportunity for an experienced Data Engineer to join an underwriting platform for insurance carriers that provides real-time insights to encourage empowerment, good risk taking and strong decision-making at al
Job Source: Understanding RecruitmentDataRobot
, CA, United States
Job Description: DataRobot is the leader in Value-Driven AI, a unique and collaborative approach to generative and predictive AI that combines an open platform, deep expertise and broad use-case experience to improve how organizations run, grow and optimize their business. The DataRobot AI Platform is the only complete AI lifecycle platform that i
Job Source: DataRobot, CA, United States
MLOps Engineer
Bay Area, CA $200,000 - $250,000 + Competitive Benefits
Are you seeking an opportunity to work with an exclusive tech startup? This fast-growing startup is looking to build out their full machine learning engineering and machine learning operations team!
THE COMPANY
This expansive startup prides itself on working on mass amounts of data. There’s a huge opportunity for growth in this company as you will be working hands-on with passionate individuals on complex problems.
THE ROLE
As a MLOps Engineer you will…
Work with the team to architect and end to end entire AI Engineering platform that allows for deployment and scalability of machine learning models
Build tools and capabilities for model management and model performance monitoring
Build tools and capabilities to support the full ML lifecycle and efficiency of ML models
YOUR SKILLS AND EXPERIENCE
5+ years of full time experience
Strong software engineering background with an understanding of machine learning
Experience working with large scale systems and with consumer data
Experience in big data technologies
Experience building or working on a machine learning platform
Tools: Python, AWS, Kubernetes, Kubeflow
THE BENEFITS
As a MLOps Engineer, you can expect a base salary between $200,000 to $250,000 (based on experience) plus competitive benefits.
HOW TO APPLY
Please register your interest by sending your CV to Kristianna Chung via the Apply link on this page
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MLOps Engineer jobs in , CA, United States
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