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Machine learning Jobs in Richardson, TX
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Machine learning • richardson tx
Machine Learning Engineer - Vice President
JPMorgan Chase & Co.Plano, TX, United States- Promoted
Learning Leader Manicurist
TURNAGE BEAUTY INSTITUTE, LLCCarrollton, TX, USMachine Operator
SourceNow LLCCarrollton, Texas, United StatesManaging Machine Learning Engineer, Labs
Toyota Connected North AmericaPlano, Texas, United StatesGENAI / MACHINE LEARNING AI / DATA Scientist
Hudson ManpowerCarrollton, TX, USStaff Software Engineer - Machine Learning (MLOps)
CrunchbaseTexas, United States- Promoted
Machine Learning Engineer
VirtualVocationsCarrollton, Texas, United StatesData Scientist / Machine Learning Engineer
Ad hoc ResearchPlano, Texas, United StatesMachine Operator
Cynet SystemsPlano, TXSenior Machine Learning Engineer
AscenttPlano, Texas, United StatesStaff Machine Learning Engineer
AngiTexasSoftware Engineer - Machine Learning - IV
The Judge GroupRichardson, TX- Promoted
Machine Tool Trainee
TradeJobsWorkforce75367 Dallas, TX, USLearning Specialist
Billingsley Property Services II, Inc.Plano, Texas, United States, 75093Machine Operator
VSSI LLC Staffing ServicesCarrollton, Texas, United StatesSr. Machine Learning Engineer
ActalentPlano, Texas, USAApplied Artificial Intelligence Machine Learning, Sr Associate
JPMorgan Chase Bank, N.A.Plano, US- Promoted
Machine Learning Engineer
Tiger AnalyticsRichardson, TX, USSenior Machine Learning Architect
BoeingTX,Plano,USAMachine Operator
Ascend StaffingGarland , TexasThe average salary range is between $ 114,075 and $ 151,050 year , with the average salary hovering around $ 145,600 year .
- hospital (from $ 40,950 to $ 275,000 year)
- business process analyst (from $ 66,282 to $ 261,160 year)
- facilities manager (from $ 40,600 to $ 227,500 year)
- rf design engineer (from $ 125,000 to $ 211,000 year)
- hospitality (from $ 27,300 to $ 206,838 year)
- art director (from $ 25,000 to $ 205,000 year)
- medical director (from $ 170,000 to $ 200,000 year)
- operations associate (from $ 55,350 to $ 197,000 year)
- engineering director (from $ 148,603 to $ 197,000 year)
- modeling (from $ 94,638 to $ 193,615 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 Engineer - Vice President
JPMorgan Chase & Co.Plano, TX, United States- Full-time
The Compute Network Storage(CNS) group, within Global Technology Infrastructure (GTI) is responsible for defining, developing and operating cloud products consumed by our Application Development Partners across the firm. Our Product Portfolio includes Private and Public Cloud Platforms and a wide range of services such as databases, messaging and telemetry.
As a Machine Learning Engineer within the Storage team of Compute Platform Network Storage (CPNS), you will play a pivotal role in designing, developing, and maintaining software solutions that integrate AI / ML capabilities to address complex business challenges. This position provides an exciting platform to utilize your software engineering skills, ML Engineering, and DevOps expertise to significantly impact global business. You will collaborate with cross-functional teams to build robust, scalable, and efficient software systems. Working with an inspiring and curious team of technologists, you will be dedicated to deploying and developing large-scale infrastructure solutions that support JPMorgan Chase's diverse and critical businesses.
Job Responsibilities :
- Design, develop, and maintain software applications with integrated AI / ML capabilities.
- Collaborate with cross-functional teams to gather and analyze requirements, translating them into technical solutions.
- Develop and implement software architecture and design patterns to ensure scalability and performance.
- Write clean, maintainable, and efficient code in one or more general-purpose programming languages : Python, Java, C, C++, Go.
- Implement and manage data pipelines to preprocess and transform data for AI / ML models.
- Integrate AI / ML models into software applications and ensure seamless deployment into production environments.
- Optimize software applications for performance, reliability, and scalability.
- Conduct code reviews and provide technical guidance to junior developers.
- Stay up-to-date with the latest advancements in software engineering and AI / ML technologies.
- Ensure adherence to software development best practices, including agile and lean methodologies.
Required qualifications, capabilities and skills :
Preferred qualifications, capabilities and skills :