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Machine learning Jobs in Charlotte, NC
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Machine learning • charlotte nc
Machine Learning / Data Science Engineer
CapTechCharlotte, NC, USStaff Software Engineer - Machine Learning (MLOps)
CrunchbaseNorth Carolina, United States- Promoted
Machine Operator
AerotekCharlotte, NC, USMachine Operator
CalqulateCharlotte, NC, US- Promoted
Machine Operator
Element Materials TechnologyCharlotte, NC, United States- Promoted
Sr. Staff Data Scientist, Machine Learning
Varo BankCharlotte, NC, US- Promoted
- New!
Machine Learning Manager - PF&O (Recommendations & Forecasting)
RedditCharlotte, NC, USSenior Machine Learning Engineer, Specialist
Vanguard Group, Inc.Charlotte, United StatesMachine Learning Engineer
VirtualVocationsCharlotte, North Carolina, United StatesLead Quantitative Analytics Specialist - AI and Machine Learning
WELLS FARGO BANKCHARLOTTE, North Carolina, United States of America- Promoted
Machine Operator
Lingo StaffingCharlotte, NC, US- Promoted
Machine Operator
Closets By Design CharlotteCharlotte, NC, USAI / Machine Learning Engineer
NorthPoint Search GroupCharlotte, NC, USSr Machine Learning Engineer
The HartfordCharlotte, NCMachine Learning Engineer - IT Manufacturing
CorningCharlotte, NC, USGENAI / MACHINE LEARNING AI / DATA Scientist
Hudson ManpowerCharlotte, NC, USMachine Learning Engineer
ConsortiaCharlotteMachine Learning / Data Science Engineer
Captech ConsultingCharlotte, North Carolina, United States- Promoted
Machine Operator
Solucion LLCCharlotte, NC, USThe average salary range is between $ 115,000 and $ 165,075 year , with the average salary hovering around $ 130,000 year .
- buying (from $ 39,000 to $ 262,500 year)
- facilities management (from $ 78,443 to $ 250,000 year)
- psychiatrist (from $ 20,000 to $ 246,870 year)
- physician (from $ 75,255 to $ 237,500 year)
- private equity (from $ 87,500 to $ 230,410 year)
- medical director (from $ 40,000 to $ 230,000 year)
- venture capital (from $ 195,000 to $ 225,000 year)
- investment banker (from $ 173,300 to $ 222,200 year)
- administrative director (from $ 66,250 to $ 222,200 year)
- banker (from $ 29,250 to $ 222,200 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 .
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Machine Learning / Data Science Engineer
CapTechCharlotte, NC, US- Full-time
Job Description
CapTech Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients, with a specific focus on building and deploying scalable machine learning systems in enterprise environments. CapTech employees enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other CapTech analysts, architects, and our clients.
Specific responsibilities for the Machine Learning Engineer position include :
- Strategizing with clients, data scientists, engineers, and other members of cross-functional teams to implement end-to-end machine learning solutions and identify new machine learning and data science approaches to meet business needs
- Deconstructing client needs into data-driven processes / models and analytical measures.
- Analyzing and transforming large datasets hosted on a variety of enterprise-level data platforms (, AWS, Azure, GCP).
- Designing, developing, and deploying advanced analytical solutions leveraging client data (, recommender systems, natural language processing, risk scoring).
- Productionizing ML systems with a focus on optimization and scalability to satisfy clients’ requirements.
- Growing CapTech’s Machine Learning and Data Science practices through delivering client presentations, writing proposals, attending various business development events, and leading teams of junior data scientists and engineers.
Qualifications
Additional Information
We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we’ve launched extended benefits to help meet our employees’ needs.