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Machine learning Jobs in Aurora, CO
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Machine learning • aurora co
- Promoted
Director of Machine Learning
CaylentAurora, CO, USPhD Research Assistant - Machine Learning Research Group
OracleDenver, CO, United States- Promoted
Machine Learning Engineer
Acceler8 TalentDenver, CO, United StatesMachine Learning / Data Science Engineer
Captech ConsultingDenver, Colorado, United StatesStaff Machine Learning Engineer
AngiDenver, CO- Promoted
Machine Learning Manager - PF&O (Recommendations & Forecasting)
RedditAurora, CO, USSr. Machine Learning Engineer - Realm-X
AppFolio, IncRemote - Denver, COSenior Machine Learning Architect
BoeingCO,Englewood,USAMachine Learning Engineer
Talent Navigation ExpertsDenver, ColoradoSenior Machine Learning Engineer
ProveDenver, Colorado, United StatesMachine Learning / Data Science Engineer
CapTech ConsultingDenver, CO, US- New!
Senior Software Engineer, Machine Learning
BrazeDenverMachine Learning / Data Science Engineer
CapTechDenver, CO, USMachine Learning Lead
VirtualVocationsAurora, Colorado, United States- Promoted
- New!
Machine Learning Evaluation Assistant
Scale AIDenver, Colorado, United StatesMachine Learning Engineer
SynergisticITDenver, CO, US- New!
Senior Machine Learning Engineer
DigitalOceanDenver- Promoted
Principal Machine Learning Data Scientist, Gen AI
XometryDenver, CO, USStaff Software Engineer - Machine Learning (MLOps)
CrunchbaseColorado, United StatesThe average salary range is between $ 110,000 and $ 215,000 year , with the average salary hovering around $ 131,400 year .
- live in nanny (from $ 159,900 to $ 390,000 year)
- associate dentist (from $ 180,000 to $ 244,000 year)
- consulting engineer (from $ 129,700 to $ 242,600 year)
- medical director (from $ 202,381 to $ 242,500 year)
- psychiatrist (from $ 225,000 to $ 235,000 year)
- independent contractor (from $ 58,500 to $ 225,000 year)
- dentist (from $ 106,749 to $ 225,000 year)
- machine learning (from $ 110,000 to $ 215,000 year)
- business development director (from $ 120,000 to $ 214,900 year)
- mechanical engineering (from $ 82,741 to $ 212,500 year)
- Grand Rapids, MI (from $ 177,531 to $ 240,706 year)
- Lansing, MI (from $ 109,700 to $ 240,100 year)
- Simi Valley, CA (from $ 136,688 to $ 235,450 year)
- Spokane Valley, WA (from $ 135,458 to $ 234,943 year)
- Charleston, SC (from $ 112,230 to $ 233,350 year)
- Chula Vista, CA (from $ 174,990 to $ 229,500 year)
- Fairfield, CA (from $ 151,875 to $ 227,500 year)
- Sunnyvale, CA (from $ 150,000 to $ 225,000 year)
- Hampton, VA (from $ 107,500 to $ 225,000 year)
- Wichita Falls, TX (from $ 145,250 to $ 223,751 year)
The average salary range is between $ 115,000 and $ 195,008 year , with the average salary hovering around $ 146,288 year .
Related searches
Director of Machine Learning
CaylentAurora, CO, US- Full-time
Director of Machine Learning
Caylent is a cloud native services company that helps organizations bring the best out of their people and technology using Amazon Web Services (AWS). We provide a full-range of AWS services including workload migrations and modernization, cloud native application development, DevOps, data engineering, security and compliance, and everything in between.
At Caylent, our people always come first. We are a global company and operate fully remote with employees in Canada, the United States, and Latin America. We celebrate the culture of each of our team members and foster a community of technological curiosity. Come talk to us to learn more about what it means to be a Caylien!
Role Overview
Director, AI / ML Practice Leader. You will lead a 50 - 100 team of ML engineers, architects, and consultants to deliver cutting-edge AI / ML solutions on AWS. You will drive practice strategy, technical innovation, and operational excellence, while building high-value partnerships with AWS and scaling the practice for growth.
This role demands a leader who is as comfortable shaping consulting offerings and go-to-market initiatives as they are diving deep into the technical stack to guide solution architecture, MLOps strategy, and large-scale ML deployments.
Key Responsibilities
- Delivery Excellence : Oversee execution of complex AI / ML engagements across industries, ensuring on-time delivery, customer satisfaction, and AWS Well-Architected compliance.
- Strategic Leadership : Define the vision, roadmap, and operating model for the AI / ML practice aligned with company objectives and AWS innovations.
- Practice Development : Build and mature the consulting practice through development of offerings, accelerators, delivery frameworks, and knowledge management.
- Technical Oversight : Serve as an executive-level technical authorityguiding architecture decisions, reviewing high-impact designs, and ensuring use of best practices in ML engineering and MLOps.
- Business Growth : Partner with sales, alliances, and AWS field teams to drive pipeline, co-sell initiatives, and joint customer success stories.
- Talent & Culture : Attract, mentor, and retain top technical and consulting talent, fostering a culture of innovation, continuous learning, and delivery excellence
Technical Focus Areas & Core Stack
Qualifications
Benefits
Base Salary Range : The expected base salary range for this position is $190,000 - $220,000 per year, commensurate with experience and qualifications.
Additional Compensation Components : In addition to the base salary, the compensation package may include bonuses, commissions, equity, and other incentives. The specific components will vary depending on the role and individual and / or company performance.
Caylent is a place where everyone belongs. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at Caylent.
We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics.