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Entry level machine learning engineer Jobs in Frisco, TX
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Entry level machine learning engineer • frisco tx
Machine Learning Engineer - Vice President
JPMorgan Chase & Co.Plano, TX, United StatesProject Engineer (Entry Level)
GarverFrisco, Texas- Promoted
Product Director - Artificial Intelligence / Machine Learning
JPMorgan ChasePlano, TX, USEntry Level Bookkeeper
TradeJobsWorkforce75024 Plano, TX, USEntry Level Engineer
Whiting-TurnerPlano, TX, USMachine Learning Software Engineer-Associate
JPMorgan Chase Bank, N.A.Plano, TX, US- Promoted
Entry-level Support Teacher
Primrose School of South PlanoPlano, TX, USSenior Staff Data Scientist, Machine Learning
SoFiFrisco, TX- Promoted
Territory Sales Professional- Entry Level
Alleviation Enterprise LLCLittle Elm, TX, USStaff Software Engineer - Machine Learning (MLOps)
CrunchbaseTexas, United States- Promoted
Entry Level Tax Preparer
Jackson Hewitt - 2861Lewisville, TX, USSenior Machine Learning Engineer
AscenttPlano, Texas, United StatesData Scientist / Machine Learning Engineer
Ad hoc ResearchPlano, Texas, United States- Promoted
Big Data / Machine Learning Engineer - Sr
SamprasoftPlano, TX, USStaff Machine Learning Engineer
AngiTexas- Promoted
Entry Level Hospitality Expert
Chick-fil-A Frisco Lakes & Chick-fil-A Windsong & 380Frisco, TX, US- Promoted
- New!
Sr. Machine Learning Engineer
ActalentPlano, TX, US- Promoted
Energy Consultant [Entry Level]
Sector 7 EnergyPlano, TX, US- Promoted
Entry Level Sales Representative
American Income LifePlano, TX, USMachine Learning Engineer, Entry Level
Toyota Connected North AmericaPlano, Texas, United States- communications director (from $ 152,100 to $ 500,000 year)
- cyber security (from $ 61,952 to $ 244,155 year)
- energy (from $ 29,250 to $ 229,988 year)
- product director (from $ 145,000 to $ 207,100 year)
- physician assistant (from $ 107,500 to $ 205,920 year)
- modeler (from $ 144,900 to $ 205,385 year)
- nurse practitioner (from $ 107,500 to $ 203,424 year)
- product management (from $ 130,000 to $ 201,235 year)
The average salary range is between $ 78,000 and $ 132,367 year , with the average salary hovering around $ 80,500 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 :