neural networks Jobs in texas

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Director, AI/ML Engineering - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota, USA

Full-time

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us adv

Sr Data Scientist - Financial Crimes & Fraud Prevention, VP (Hybrid)

Citi

Remote or San Antonio, Texas, USA

Full-time

The Business Analytics Lead Analyst is a member of the Fusion Analytics Team under FFC. This role will be tasked with creating analytical solutions across all LOB's utilizing statistical and advanced analytical techniques and drive strategic insights and decision making. An ideal candidate will have strong expertise in machine learning, predictive modeling and financial data analysis. Experience in digital fraud detection and cybersecurity will be a strong advantage. You will need to collaborate

Senior Data Scientist (Product)

Eliassen Group

Anywhere, US

Contract

Description: **100% Remote** Our client, an industry leader in financial services and money transfers, has an excellent opportunity for a Senior Data Scientist (Product) to work on a 6+ month contract. Work will be remote, candidates local to Denver preferred. The Senior Data Scientist will lead the development of machine learning and deep learning solutions that power intelligent decision-making and innovative products. This role is ideal for someone with extensive experience in building, eva

Senior Solution Architect (Salesforce)

Marathon Petroleum Company

San Antonio, Texas, USA

Full-time

An exciting career awaits you At MPC, we're committed to being a great place to work - one that welcomes new ideas, encourages diverse perspectives, develops our people, and fosters a collaborative team environment. Position Summary We are seeking an experienced and strategic Salesforce Solution Architect to lead the design and implementation of robust, scalable Salesforce solutions. This high-profile role combines technical expertise with strategic thinking to align technology with business

Data Scientist

General Motors

Austin, Texas, USA

Full-time

Job Description The Role General Motors is seeking applications for highly motivated and qualified individuals for the position of Scientist. This is a unique opportunity to join a multi-disciplinary team of experienced individuals who will drive the design, development, and deployment of advanced statistical and mathematical solutions running the gamut across the technological spectrum. The team is responsible both for analytics strategy and project-based solutions, focusing on the company's mo

Sr. NLP Data Scientist/Machine Learning Engineer

Satsyil Corporation

Remote

Full-time

Role: Sr NLP Data Scientist/Machine Learning Engineer. Location: 1775 Tysons Blvd, VA Duration: FTE. Job Description: They will play a role as an expert consultant to federal agency partners, develop project plans and manage delivery activities, providing leadership and influencing adoption of technical AI/ML solutions. Evaluate the integration of Artificial Intelligence (AI) solutions into next generation tools and processes to enhance technology solutions to support continuous improvements and

Data Scientist AI/ML

InfoVision, Inc.

Irving, Texas, USA

Third Party, Contract

Job Title: Data Scientist AI/ML Job Duration: 12 month Job location: Irving, TX Responsibilities: Develop new AI/ML models with little to no supervision off of data acquired directly from business partners;Mentor other team members and data analytical groups;Take the lead in developing innovative advanced analytical solutions for complex application problems;Position requires the development of advanced graphic visualization concepts to map and simplify the analysis of heavily-numeric data and