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

Pozent Corporation

Sr. AI Engineer@Houston, TX

Houston, TX · On-site

$116K - $154K/yr

Responsibilities : • AI/ML Model Development • Design, develop, and optimize machine learning and deep learning models • Build NLP, computer vision, or predictive analytics solutions • Train ...

Digitech Services

Sr AI Engineer

Houston, TX · On-site

$99K - $137K/yr

AI/ML Model Development • Design, develop, and optimize machine learning and deep learning models • Build NLP, computer vision, or predictive analytics solutions • Train, test, and evaluate ...

New

Oxy

Senior AI - Computer Vision Engineer

Houston, TX

$117K - $154K/yr

Develop deep learning models using PyTorch and TensorFlow * Lead research and development (R&D) ... Collaborate closely with crossfunctional teams (AI platform, software engineering, domain experts ...

NobleAI

Senior Applied AI/ML Scientist

Houston, TX

NobleAI is a Science-Based AI platform that predicts complex systems, helping companies accelerate ... Design, develop, and deploy machine learning and deep learning models for scientific applications ...

Mariana Minerals

Machine Learning Engineer

Houston, TX · On-site

... modern deep learning; exposure to reinforcement learning is a strong plus. • Proficiency in ... AI, and defense technologies. Founded in , the company is headquartered in San Francisco, CA, US ...

New

NobleAI

Senior Applied AI/ML Scientist

Houston, TX · Remote

NobleAI is a Science-Based AI platform that predicts complex systems, helping companies accelerate ... Design, develop, and deploy machine learning and deep learning models for scientific applications ...

NobleAI

Senior Applied AI/ML Scientist

Houston, TX · On-site +1

NobleAI is a Science-Based AI platform that predicts complex systems, helping companies accelerate ... Design, develop, and deploy machine learning and deep learning models for scientific applications ...

Oxy

Senior AI - Computer Vision Engineer

Houston, TX · On-site

$99K - $137K/yr

Develop deep learning models using PyTorch and TensorFlow * Lead research and development (R&D) ... Collaborate closely with cross-functional teams (AI platform, software engineering, domain experts ...

Marencor

Gen AI/ML Solution Architect

Houston, TX · On-site

$60.25 - $79.25/hr

... mining, deep learning, predictive analytics, and machine learning. * Proven track record in the full data science project lifecycle, including data wrangling, statistical analysis, and data ...

US Tech Solutions

Senior AI Engineer #26-13102

Houston, TX

$99K - $137K/yr

AI/ML Model DevelopmentDesign, develop, and optimize machine learning and deep learning models Build NLP, computer vision, or predictive analytics solutions Train, test, and evaluate models for ...

SDH Systems

AI Lead 11+ years of exp

Houston, TX

$133K - $164K/yr

Expertise in NLP, machine learning, deep learning, or computer vision. * Experience with Azure and AWS cloud platforms and their AI/ML services. * Familiarity with enterprise application development ...

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

Deep Learning Ai information

See Spring, TX salary details

$9.8K

$74.6K

$124.6K

How much do deep learning ai jobs pay per year?

As of Jun 12, 2026, the average yearly pay for deep learning ai in Spring, TX is $74,649.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,100.00 and $123,700.00 per year, depending on experience, location, and employer.

Is Deep Learning AI paid?

Deep Learning AI professionals are typically paid for their work, with salaries varying based on experience, location, and role complexity. Entry-level positions may start lower, while experienced specialists or those with advanced skills in frameworks like TensorFlow or PyTorch tend to earn higher salaries. Compensation often includes benefits and opportunities for career growth.

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 is a $900,000 AI job?

A $900,000 AI job typically refers to high-level positions in artificial intelligence, such as senior AI researchers, machine learning directors, or AI executives, often requiring advanced skills, extensive experience, and leadership responsibilities. These roles may involve overseeing large projects, developing innovative algorithms, and managing teams, with compensation reflecting the complexity and impact of the work.

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 salary of AI and deep learning?

The salary for roles in AI and deep learning varies based on experience, location, and industry, but typically ranges from $80,000 to over $150,000 annually for skilled professionals. Entry-level positions may start around $70,000, while senior roles or those requiring advanced skills in machine learning frameworks can earn higher salaries. Certifications and proficiency in programming languages like Python and tools such as TensorFlow or PyTorch can influence compensation.

What are the key skills and qualifications needed to thrive as a Deep Learning AI Engineer, and why are they important?

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.

Which 3 jobs will survive AI?

Deep Learning AI professionals are likely to find roles in areas requiring complex problem-solving, such as AI research, machine learning engineering, and data science. These jobs involve designing, developing, and maintaining AI systems, which require advanced technical skills and domain expertise that are difficult to fully automate. Continuous learning and proficiency with tools like Python and TensorFlow can enhance job security in these fields.

What are Deep Learning AI professionals?

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 popular job titles related to Deep Learning Ai jobs in Spring, TX? For Deep Learning Ai jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Deep Learning Ai jobs in Spring, TX look for? The top searched job categories for Deep Learning Ai jobs in Spring, TX are:
What cities near Spring, TX are hiring for Deep Learning Ai jobs? Cities near Spring, TX with the most Deep Learning Ai job openings:
Deep Learning Ai jobs near you
Sr. AI Engineer@Houston, TX

Sr. AI Engineer@Houston, TX

Pozent Corporation

Houston, TX • On-site

$116K - $154K/yr

Full-time

Posted 4 days ago

Job description

Job Summary:
Pozent Corporation is a rapidly growing company focused on delivering next-generation digital, data, and AI-driven solutions to global clients. They are seeking a highly skilled Senior AI Engineer to design, build, and deploy scalable artificial intelligence and machine learning solutions, requiring strong expertise in developing predictive models and integrating them into enterprise systems.
Responsibilities:
• AI/ML Model Development
• Design, develop, and optimize machine learning and deep learning models
• Build NLP, computer vision, or predictive analytics solutions
• Train, test, and evaluate models for accuracy, scalability, and performance
• Fine-tune pre-trained models (e.g., LLMs, transformers) for business use cases
• Data Engineering & Processing (Optional)
• Collect, clean, and preprocess structured and unstructured datasets
• Work with large-scale data pipelines and streaming data systems
• Implement feature engineering and data transformation workflows
• Deployment & MLOps
• Deploy models into production using APIs, containers, or microservices
• Work with DevOps to build CI/CD pipelines for ML workflows (MLOps)
• Monitor model performance, drift, and reliability in production
• Optimize latency, throughput, and cost efficiency
• Cloud & System Integration
• Integrate AI solutions into cloud platforms (AWS)
• Work with services like SageMaker, Azure ML, Vertex AI, or OpenAI APIs
• Collaborate with DevOps, backend, and frontend teams for implementation
• Research & Innovation
• Stay up to date with emerging AI technologies and frameworks
• Evaluate and implement GenAI, LLMs, and prompt engineering techniques
• Prototype and experiment with new AI-driven solutions
Qualifications:
Required:
• Strong expertise in developing predictive models
• Implementing AI-powered applications
• Integrating AI solutions into enterprise systems
• Design, develop, and optimize machine learning and deep learning models
• Build NLP, computer vision, or predictive analytics solutions
• Train, test, and evaluate models for accuracy, scalability, and performance
• Fine-tune pre-trained models (e.g., LLMs, transformers) for business use cases
• Deploy models into production using APIs, containers, or microservices
• Work with DevOps to build CI/CD pipelines for ML workflows (MLOps)
• Monitor model performance, drift, and reliability in production
• Optimize latency, throughput, and cost efficiency
• Integrate AI solutions into cloud platforms (AWS)
• Work with services like SageMaker, Azure ML, Vertex AI, or OpenAI APIs
• Collaborate with DevOps, backend, and frontend teams for implementation
• Stay up to date with emerging AI technologies and frameworks
• Evaluate and implement GenAI, LLMs, and prompt engineering techniques
• Prototype and experiment with new AI-driven solutions
• Programming: Python (preferred), Java, or Scala
• ML Frameworks: TensorFlow, PyTorch, Scikit-learn
• APIs & Microservices development
• Version control (Git)
• Experience with AWS
• Containers: Docker, ECS/EKS
• CI/CD pipelines (GitHub Actions Or Jenkins Or GitLab CI)
• Databases: SQL, NoSQL
• Understanding of distributed systems
Preferred:
• prompt engineering
• Claude CLI / Code
• LLMs
• Hugging Face
• OpenAI APIs
• Data Engineering & Processing
• Collect, clean, and preprocess structured and unstructured datasets
• Work with large-scale data pipelines and streaming data systems
• Implement feature engineering and data transformation workflows
• Data Tools: Pandas, NumPy, Spark
• Familiarity with data pipelines and ETL processes
• Airlines experience
Company:
POZENT is a digital technology and workforce solutions company with expertise in Digital Artificial Intelligence & Block Chain technologies. Founded in 2012, the company is headquartered in Piscataway, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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