Email Alert for
ⓘ There was an unexpected error processing your request.
Please refresh the page and try again.
If the problem persists, please contact us with your issue.
You can always manage your preferences and update your interests to ensure you receive the most relevant opportunities.
Get ready to discover your next great opportunity.
Nelnet
Littleton, CO, United States
Nelnet is a diversified and innovative company committed to enriching lives through the power of service as a student loan servicer, professional services company, consumer loan originator and servicer, payments processor, renewable energy solutions, and K-12 and higher education expert. For over 40 years, Nelnet has been serving its customers, ass
Job Source: NelnetActalent
Aurora, CO, United States
Job Title: Machine Learning EngineerJob Description This role is ideal for an AI/ML Engineer seeking new challenges and eager to tackle complex problems. As a Machine Learning Engineer, you will contribute to the development of innovative AI/ML algorithms across various disciplines including object detection/classification, natural language proces
Job Source: ActalentNelnet
Aurora, CO, United States
Nelnet is a diversified and innovative company committed to enriching lives through the power of service as a student loan servicer, professional services company, consumer loan originator and servicer, payments processor, renewable energy solutions, and K-12 and higher education expert. For over 40 years, Nelnet has been serving its customers, ass
Job Source: NelnetVeriheal
Denver, CO, United States
Job Description Position: Machine Learning Engineer Location: Denver, CO Department: IT Reports to: Chief Technology Officer Hourly Rate: $38.00 USD - $52.00 USD Company Overview: Veriholdings is a leading tech and wellness organization dedicated to enhancing well-being through personalized health consultations. We leverage cutting-edge technolog
Job Source: VerihealIntegrated Research Ltd.
Denver, CO, United States
At IR Labs, we are on a mission to revolutionize the way businesses harness the power of data. We are not just building products; we are shaping the future of business innovation. Our mission is to create cutting-edge AI solutions that redefine industries and enhance everyday life for our customers. Our transformative AI and analytics solutions are
Job Source: Integrated Research Ltd.Quantum Technologies. LLC
, CO, United States
W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed. Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters Job Overview Specialized Area: Machine learning Job Title: Machine Learning Engineer Locatio
Job Source: Quantum Technologies. LLCGN Group
, CO, United States
Machine Learning Engineer page is loaded Machine Learning Engineer Apply locations Ballerup time type Full time posted on Posted 2 Days Ago job requisition id R21412 Join our team as an ML Engineer within R&D at GN, where you will have the opportunity to work with AI/ML technologies from development to product
Job Source: GN GroupRemotely Inc
Denver, CO, United States
This is a remote position. Machine Learning Engineer (US/Canada Residents Only, 1 year experience, remote) Team Remotely Inc. is a staffing and recruitment agency that offers a comprehensive solution for talent acquisition, including sourcing, vetting, pay rolling, and managing talent. Whether you need contract staffing, direct hire, direct sourc
Job Source: Remotely Inc, CO, United States
Location: Work Remote with some office time in Boulder, Colorado
Position Type: Full time
Level/Salary Range: Based on experience
Date Posted: 8 February 2023
We are seeking a Machine Learning Engineer passionate about creating innovative solutions with the latest cutting edge technologies. Our initial customers are helping to drive product and technology solutions working closely with our software and product teams.
We build AirLogic, an analytics platform, which aggregates data from private and public sensors to help our customers understand site and regional air quality. Using AirLogic our customers identify and fix problems at their facilities, speed up compliance reporting, and act on insights to meet their emissions reduction goals.
The successful candidate will help build and grow the business and participate in earned ownership opportunities and grow our business from start-up to scale up and beyond.
This is a great chance to join a rapidly growing company offering excellent career prospects and working with exciting, cutting edge technologies.
You might be a fit for this role if you:
Have 5+ years of experience in a Data Science or Machine Learning Engineering role, with a focus on building scalable storage and schema layers.
Have expertise in a programming language such as Python and standard data processing libraries.
Have trained and built ML models at scale using PyTorch. You have analyzed data at scale using Pandas and/or SQL.
Have strong experience in relational databases (AWS, RDS, Aurora), SQL, data warehouses, and ETL pipelines.
Have experience in integrating data from core platforms into a centralized warehouse.
Have rigor in high code quality, automated testing, and other engineering best practices.
Thrive in a fast paced and collaborative environment which iterates quickly on new ideas.
Want to develop best industry software development skills while building an impactful product.
Diversity
We believe a diversity of perspective, background, beliefs, abilities, and experiences helps us build a stronger team and better products for our customers. We are passionate about creating a welcoming, supportive, and collaborative environment for all employees.
#J-18808-Ljbffr
Email Alert for Machine Learning Engineer jobs in , CO, United States
ⓘ There was an unexpected error processing your request.
Please refresh the page and try again.
If the problem persists, please contact us with your issue.
You can always manage your preferences and update your interests to ensure you receive the most relevant opportunities.
Get ready to discover your next great opportunity.