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Deep Learning Ai Jobs in Prosper, TX (NOW HIRING)

CBRE

Senior AI Engineer - Talent Community

Richardson, TX · On-site

$94K - $130K/yr

Conduct research and stay current with advancements in AI, machine learning, deep learning, and Generative AI techniques (e.g., LLMs, Agentic AI, RAG solutions), applying innovative context ...

Northern Base

Generative AI Engineer

Irving, TX · On-site

Machine Learning, NLP & Deep Learning * Neural Networks & Transformer Architectures * Generative AI Techniques * GANs & Text-to-Image Generation * Text Generation Models * SQL & Data Wrangling * Data ...

Prophecy Technologies

AI/ML Engineer

Plano, TX · On-site

$109K - $131K/yr

EmergerTech - USLBM Job Overview We are seeking a highly skilled AI/ML Engineer with strong expertise in Machine Learning, Deep Learning, Generative AI, and Large Language Models (LLMs) to design ...

Anblicks

Lead AI Engineer

Richardson, TX · On-site

$93K - $122K/yr

We are seeking a Lead AI Engineer to own the end-to-end technical delivery of an enterprise data ... Build and operationalize a portfolio of models spanning supervised, unsupervised, and deep-learning ...

Midasis Technologies LLC

Lead AI Engineer

Richardson, TX · On-site

$93K - $122K/yr

We are seeking a Lead AI Engineer to own the end-to-end technical delivery of an enterprise data ... Build and operationalize a portfolio of models spanning supervised, unsupervised, and deep-learning ...

Midasis Technologies LLC

Lead AI Engineer

Richardson, TX · On-site

$93K - $122K/yr

we are seeking a Lead AI Engineer to own the end-to-end technical delivery of an enterprise data ... Build and operationalize a portfolio of models spanning supervised, unsupervised, and deep-learning ...

Winaxis

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Key Responsibilities Design, develop, train, and optimize Machine Learning and Deep Learning models. Build and maintain scalable data pipelines for model training and inference. Develop AI-powered ...

Winaxis

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Key Responsibilities Design, develop, train, and optimize Machine Learning and Deep Learning models. Build and maintain scalable data pipelines for model training and inference. Develop AI-powered ...

Winaxis

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Key Responsibilities Design, develop, train, and optimize Machine Learning and Deep Learning models. Build and maintain scalable data pipelines for model training and inference. Develop AI-powered ...

Winaxis

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Key Responsibilities Design, develop, train, and optimize Machine Learning and Deep Learning models. Build and maintain scalable data pipelines for model training and inference. Develop AI-powered ...

Winaxis

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Key Responsibilities Design, develop, train, and optimize Machine Learning and Deep Learning models. Build and maintain scalable data pipelines for model training and inference. Develop AI-powered ...

Winaxis

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Key Responsibilities Design, develop, train, and optimize Machine Learning and Deep Learning models. Build and maintain scalable data pipelines for model training and inference. Develop AI-powered ...

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All JobsDeep Learning Ai JobsDeep Learning Ai Jobs in Prosper, TX

Deep Learning Ai information

See Prosper, TX salary details

$10.1K

$76.8K

$128.2K

How much do deep learning ai jobs pay per year?

As of Sep 4, 2026, the average yearly pay for deep learning ai in Prosper, TX is $76,821.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,900.00 and $127,300.00 per year, depending on experience, location, and employer.

What is a deep learning AI professional?

Deep Learning AI professionals are experts who design, develop, and implement artificial intelligence systems that use deep neural networks to analyze complex data and solve tasks such as image recognition, natural language processing, and autonomous decision-making. They work with large datasets and advanced algorithms to build models that can learn and improve over time. These professionals often have a background in computer science, mathematics, or engineering, and are skilled in programming languages like Python and frameworks such as TensorFlow or PyTorch.

What are the key skills and qualifications needed to thrive as a deep learning AI engineer?

To thrive as a Deep Learning AI Engineer, you need a strong background in mathematics, programming (especially Python), and experience with neural networks, typically supported by a degree in computer science, engineering, or a related field. Proficiency with deep learning frameworks such as TensorFlow or PyTorch, and knowledge of tools like CUDA for GPU acceleration, are essential; relevant certifications can be advantageous. Analytical thinking, creativity, and effective communication are important soft skills for solving complex problems and collaborating with cross-functional teams. These skills and qualities are crucial for building robust AI models and driving innovation in this rapidly evolving field.

What are some common challenges faced by professionals working in deep learning AI, and how can they be addressed?

Professionals in Deep Learning AI often encounter challenges such as managing large datasets, ensuring model accuracy, and addressing issues like overfitting. Collaboration with data engineers and domain experts is crucial to ensure high-quality data and relevant feature selection. Additionally, staying up-to-date with rapidly evolving frameworks and algorithms requires continuous learning and participation in knowledge-sharing within the team. Regular code reviews and experimentation with different architectures can help overcome technical obstacles and improve model performance.

What is the difference between Deep Learning Ai vs Machine Learning Engineer?

AspectDeep Learning AiMachine Learning Engineer
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of neural networksDegree in Computer Science, Data Science, or related fields; programming skills in Python, R
Work EnvironmentResearch labs, AI development teams, tech companies focusing on AI modelsSoftware development teams, data analysis projects across various industries
Industry UsagePrimarily in AI research, autonomous systems, NLP, computer visionAcross industries for predictive modeling, data analysis, automation

Deep Learning Ai specialists focus on designing and implementing neural network models for complex AI tasks, often requiring advanced knowledge of deep neural networks. Machine Learning Engineers develop broader machine learning models, including traditional algorithms. While both roles require similar educational backgrounds, Deep Learning Ai roles are more specialized in neural networks and AI research, whereas Machine Learning Engineers work across a wider range of algorithms and applications.

What are popular job titles related to Deep Learning Ai jobs in Prosper, TX?

For Deep Learning Ai jobs in Prosper, TX, the most frequently searched job titles are:

What job categories do people searching Deep Learning Ai jobs in Prosper, TX look for?

The top searched job categories for Deep Learning Ai jobs in Prosper, TX are:

What cities near Prosper, TX are hiring for Deep Learning Ai jobs?

Cities near Prosper, TX with the most Deep Learning Ai job openings:

Deep Learning Ai jobs near you
Infographic showing various Deep Learning Ai job openings in Prosper, TX as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 28% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $76,821 per year, or $36.9 per hour.

Senior AI Engineer - Talent Community

CBRE

Richardson, TX • On-site

$94K - $130K/yr

Full-time

Re-posted 17 days ago

CBRE rating

8.1

Company rating: 8.1 out of 10

Based on 353 frontline employees who took The Breakroom Quiz

110th of 500 rated business services

Job description

About the Role:
As a CBRE Senior AI Engineer, you will be instrumental in designing, building, deploying, and maintaining advanced Artificial Intelligence and Machine Learning (AI/ML) systems that solve complex business challenges and drive innovation. A primary focus of this role will be leveraging Generative AI and Agentic AI frameworks to automate complex workflows and enhance business processes. This role demands a blend of deep technical expertise in AI/ML, strong software engineering principles, and a collaborative spirit to translate intricate data science models into robust, scalable, and production-ready solutions. You will work closely with data scientists, product managers, and other engineering teams, acting as a technical leader and mentor to ensure the successful delivery and operationalization of AI initiatives. Your continuous learning and application of the latest advancements in AI, including Generative AI, will be crucial in identifying strategic opportunities and shaping our AI roadmap.
What You'll Do:
  • Lead the end-to-end design, development, and implementation of scalable AI/ML systems and pipelines, emphasizing Generative AI/LLM solutions, including RAG implementation and evaluation.
  • Collaborate with data scientists to transition experimental models into robust, production-ready deployments.
  • Architect and implement MLOps strategies, covering CI/CD, version control for models and data, automated testing, and infrastructure-as-code for AI solutions.
  • Optimize existing AI/ML models for performance, accuracy, scalability, and computational efficiency using advanced techniques.
  • Develop and integrate AI/ML services and APIs into existing software applications and platforms for seamless functionality.
  • Troubleshoot complex issues across AI/ML model performance, data pipelines, infrastructure, and distributed systems in production.
  • Establish and enforce best practices for AI/ML development, deployment, and governance, including data privacy, security, and responsible AI standards.
  • Mentor junior AI/ML engineers, providing technical guidance and fostering a culture of continuous learning.
  • Conduct research and stay current with advancements in AI, machine learning, deep learning, and Generative AI techniques (e.g., LLMs, Agentic AI, RAG solutions), applying innovative context engineering.
  • Contribute expert recommendations to AI roadmap planning and capability development, influencing strategic decisions across multi-discipline teams.
  • Communicate complex technical concepts effectively to both technical and non-technical stakeholders.

What You'll Need:
To perform this job successfully, an individual will need to perform each crucial duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
  • Bachelor's Degree preferred with 8-10 years of relevant experience, or an equivalent combination of education and experience.
  • Expert-level proficiency in programming languages like Python, and major AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Demonstrated experience with MLOps practices and tools for model versioning, training, deployment, monitoring, and retraining.
  • Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services (e.g., SageMaker, Azure ML, Vertex AI).
  • In-depth understanding of machine learning algorithms, deep learning architectures, and their underlying mathematical principles.
  • Experience with data processing, feature engineering, and managing large-scale datasets, including proficiency in SQL and big data technologies.
  • Proven ability to design, develop, and optimize algorithms for various AI/ML applications, with expert knowledge and practical experience in Generative AI techniques (e.g., LLMs, GANs, VAEs, Agentic AI frameworks), including RAG solution design, implementation, evaluation, and context engineering.
  • Advanced problem-solving skills for unique and complex technical challenges with broad business impact.
  • Exceptional communication and collaboration skills, with the ability to influence stakeholders at senior levels.
  • An innovative and inquisitive mindset to continuously develop new methods and push the boundaries of existing solutions.

Why CBRE:
When you join CBRE, you become part of the global leader in commercial real estate services and investment that helps businesses and people thrive. We are dynamic problem solvers and forward-thinking professionals who create significant impact. Our collaborative culture is built on our shared values - respect, integrity, service and excellence - and we value the diverse perspectives, backgrounds and skillsets of our people. At CBRE, you have the opportunity to chart your own course and realize your potential. We welcome all applicants.
Our Values in Hiring:
At CBRE, we are committed to fostering a culture where everyone feels they belong. We value diverse perspectives and experiences, and we welcome all applications.
Applicant AI Use Disclosure:
We value human interaction to understand each candidate's unique experience, skills and aspirations. We do not use artificial intelligence (AI) tools to make hiring decisions, and we ask that candidates disclose any use of AI in the application and interview process.
About CBRE Group, Inc.
CBRE Group, Inc. (NYSE:CBRE), a Fortune 500 and S&P 500 company headquartered in Dallas, is the world's largest commercial real estate services and investment firm (based on 2024 revenue). The company has more than 140,000 employees (including Turner & Townsend employees) serving clients in more than 100 countries. CBRE serves clients through four business segments: Advisory (leasing, sales, debt origination, mortgage serving, valuations); Building Operations & Experience (facilities management, property management, flex space & experience); Project Management (program management, project management, cost consulting); Real Estate Investments (investment management, development). Please visit our website at www.cbre.com.
Equal Employment Opportunity: CBRE has a long-standing commitment to providing equal employment opportunity to all qualified applicants regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, pregnancy, age, citizenship, marital status, disability, veteran status, political belief, or any other basis protected by applicable law.
Candidate Accommodations: CBRE values the differences of all current and prospective employees and recognizes how every employee contributes to our company's success. CBRE provides reasonable accommodations in job application procedures for individuals with disabilities. If you require assistance due to a disability in the application or recruitment process, please submit a request via email at recruitingaccommodations@cbre.com or via telephone at +1 866 225 3099 (U.S.) and +1 866 388 4346 (Canada).

What CBRE employees say

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About CBRE

Sourced by ZipRecruiter

The real estate industry is undergoing significant and exciting change, increasingly driven by data and technology. At CBRE, the world's premier commercial real estate services company, we empower teams to take ownership over that technology and shape it, offering both nimble, research-driven product design and the resources of a Fortune 500 business. We approach culture with intention, valuing camaraderie, collaboration, inclusivity and a healthy work/life balance. The user experience team is passionate about the quality, usability, and simplicity of the experiences we create. Individuals in these roles gather these key user insights, and then use them to inspire and inform product strategy and design solutions. We partner closely with each other, engineering, and product management to create innovative, usable, great-looking products.

Industry

Real estate

Company size

10,000+ Employees

Headquarters location

Dallas, TX, US

Year founded

1906

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