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Machine Learning Quantum Computing Jobs in Texas

SAP

Senior TQM Utilities

Allen, TX · On-site

... machine learning, cloudbursting, visualization, PAAS, SAAS, IAAS, IOT, Industry 4.0, cyber security, big data, quantum computing, artificial intelligence, blockchain, digital twin, smart factories ...

webAI Inc

Staff Machine Learning Engineer

Austin, TX · On-site +1

We are seeking an experienced Staff Machine Learning Engineer with a strong background in Large ... Experience with cloud computing services (AWS, Azure, GCP). * Knowledge of Big Data technologies ...

ARM

Staff Machine Learning Engineer

Austin, TX · Hybrid

$249.90K - $338.10K/yr

Job Overview: The mission of the Central Technology ML (CTML) team is to pioneer and implement the technology roadmap that paves the way for the future of machine learning computing on Arm ...

ARM

Staff Machine Learning Engineer

Austin, TX · On-site

$249.90K - $338.10K/yr

Job Overview: The mission of the Central Technology ML (CTML) team is to pioneer and implement the technology roadmap that paves the way for the future of machine learning computing on Arm ...

Cymertek

HPC Software Architect

San Antonio, TX · Hybrid

... Computing Architect, HPC Infrastructure Architect, Machine Learning Architect for HPC ... Understanding of emerging HPC technologies (e.g., quantum computing) * Experience with high-speed ...

Cymertek

HPC Software Architect

San Antonio, TX · On-site

... Computing Architect, HPC Infrastructure Architect, Machine Learning Architect for HPC ... Understanding of emerging HPC technologies (e.g., quantum computing) * Experience with high-speed ...

Visa

Machine Learning Engineer

Austin, TX

$152.20K/yr

Our team needs a Senior Consultant level Machine Learning Engineer with proven knowledge of web ... computing Experience implementing solutions for low-latency, distributed services using open ...

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Machine Learning Quantum Computing information

What are the key skills and qualifications needed to thrive as a Machine Learning Quantum Computing Specialist, and why are they important?

To thrive in Machine Learning Quantum Computing, you need strong foundations in quantum mechanics, linear algebra, and advanced machine learning concepts, typically supported by a degree in physics, computer science, or a related field. Familiarity with quantum programming languages (such as Qiskit or Cirq), cloud-based quantum platforms, and proficiency in Python are usually required, alongside experience with relevant certifications or coursework. Strong problem-solving skills, adaptability, and effective collaboration are vital soft skills in this interdisciplinary field. These competencies are crucial for driving innovation and bridging the gap between quantum computing and practical machine learning applications.

How do professionals in Machine Learning Quantum Computing typically collaborate with interdisciplinary teams?

Professionals in Machine Learning Quantum Computing often work closely with experts in physics, computer science, and engineering. Collaboration usually involves translating quantum concepts for machine learning specialists and vice versa, ensuring that algorithms are both theoretically sound and practically implementable on quantum hardware. Regular meetings, code reviews, and knowledge-sharing sessions are standard, as interdisciplinary insight is crucial for advancing research and developing scalable solutions. Effective communication and a willingness to learn from other domains are essential for success in these teams.

What is Machine Learning Quantum Computing?

Machine Learning Quantum Computing is an interdisciplinary field that combines principles of quantum computing with machine learning techniques. It aims to leverage the computational power of quantum computers to enhance the performance of machine learning algorithms, potentially solving complex problems more efficiently than classical computers. This area includes developing quantum algorithms for tasks such as classification, clustering, and optimization, as well as using machine learning to improve quantum hardware and error correction. Researchers expect that, as quantum hardware matures, this field could revolutionize data analysis, cryptography, and scientific discovery.

What is the difference between Machine Learning Quantum Computing vs Data Scientist?

AspectMachine Learning Quantum ComputingData Scientist
Required CredentialsAdvanced degrees in quantum computing, machine learning, or related fieldsDegree in data science, statistics, or computer science
Work EnvironmentResearch labs, tech companies focusing on quantum tech, academiaBusiness environments, tech companies, consulting firms
Industry UsageEmerging quantum tech industry, research institutionsFinance, healthcare, marketing, e-commerce
Common Search/ComparisonQuantum algorithms, quantum machine learningData analysis, predictive modeling

Machine Learning Quantum Computing specialists focus on developing algorithms that leverage quantum mechanics to enhance machine learning tasks, often requiring advanced knowledge of quantum physics. Data Scientists analyze and interpret large datasets using traditional machine learning techniques. While both roles involve machine learning, the former emphasizes quantum computing applications, whereas the latter centers on data analysis in conventional computing environments.

What are popular job titles related to Machine Learning Quantum Computing jobs in Texas? For Machine Learning Quantum Computing jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Machine Learning Quantum Computing jobs in Texas look for? The top searched job categories for Machine Learning Quantum Computing jobs in Texas are:
What cities in Texas are hiring for Machine Learning Quantum Computing jobs? Cities in Texas with the most Machine Learning Quantum Computing job openings:
Machine Learning Quantum Computing jobs near you
Senior TQM Utilities

Senior TQM Utilities

SAP

Allen, TX • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
SAP is a leading company in enterprise resource planning and business application software. They are seeking a Senior Technical Quality Manager (TQM) to execute the SAP MaxAttention program and guide customers in their digital transformation journey while leveraging advanced technologies.
Responsibilities:
• You are accountable for the day to day execution of the SAP MaxAttention program & service plan, methods and tools, and best practices across all systems & landscapes and platforms.
• You are responsible for executing on the customer’s value-based, digital transformation roadmap, making full use of SAP Innovation Services, orchestrating the prototyping of business scenarios, fostering a platform for ideation and innovation, and capturing the value of the SAP MaxAttention program.
• You will develop and demonstrate a premium level of understanding of the customer’s strategic business goals, business processes, landscape, industry norms and all available and late breaking technology as well as newly developed SAP MaxAttention services.
• As a technology and business aficionado, you guide your customers on the proper adoption and deployment of predictive analytics, the internet of things, machine learning, artificial intelligence, blockchain, drones and sensors, and the positive impact these technological advancements can have on your customer, their employees and work-place safety, their end-customers and the environment.
• The Sr. TQM demonstrates a premium level of enthusiasm for technology enabled business advancements, clearly articulating to the customer current technology trends including public and private cloud, on-prem and hybrid technologies and trends; disruptive technologies, the industry of automation, machine learning, cloudbursting, visualization, PAAS, SAAS, IAAS, IOT, Industry 4.0, cyber security, big data, quantum computing, artificial intelligence, blockchain, digital twin, smart factories, and so on.
• The Sr. TQM collaboratively aligns and coordinates with all other customer relevant SAP employees and keeps the regional SAP leadership team and the customer’s SAP MaxAttention team aware of progress, risks, challenges, and accomplishments.
Qualifications:
Required:
• Bachelor or Master’s STEM Degree: Science, Tech, Engineering, Math and / or equivalent experience in the field of technology
• Strong SAP business and technical solution architecture expertise
• Equivalent experience in the field of technology is defined as 8+ years of hands-on experience in current cloud, platform, and application technology, and/or current software, solution, or app programming or development. Required SAP HANA, SAP S/4 HANA, SAP Cloud Platform experience
• Exceptional written and spoken communication skills, strong business acumen and presentation skills, ability to think freely and innovatively, strong cultural awareness, respect, diplomacy, and professionalism, and is highly customer service oriented with strong customer management skills
• SAP project management, value management, and quality management practices
• Experience leading design, implementation, and change management projects
• Pre-sales, Solutioning, Procurement, Contract Lifecycles, Contract Renewals, and Customer Retention experience
Preferred:
• Experience with Utilities industry is highly desirable
• Central Region is preferred, however we can hire anywhere in USA, close to major airport
Company:
SAP provides enterprise application software to various industries, including consumer, discrete manufacturing, public services. It is a sub-organization of Delos Cloud. Founded in 1972, the company is headquartered in Walldorf, DEU, with a team of 10001+ employees. The company is currently Late Stage.

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