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

Pivotal Solutions

Senior AI Engineer

Houston, TX · On-site

$99K - $137K/yr

Expertise in AI/ML algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and the end-to-end AI development lifecycle, including data preprocessing, model training, and deployment.

Onesubsea

FWI & AI Scientist

Houston, TX · On-site

$100 - $150/hr

Job Title FWI & AI Scientist Responsibilities * Lead the development of the FWI Foundation Model ... Proven success applying deep learning to physics‑based modeling and simulation. * Experience ...

Gainwell Technologies LLC

Expert AI Engineer

Houston, TX · On-site

$147K - $210K/yr

AI Model Development - Design, build, and train machine learning and deep learning models, including GenAI, NLP, and predictive analytics solutions for healthcare applications. * End-to-End AI ...

SDH Systems

AI Architect

Houston, TX · On-site

AI Architect Work location: Houston, TX Workplace : Houston, TX- Onsite Position Overview: We are ... Expertise in NLP, machine learning, deep learning, or computer vision. * Strong programming skills ...

Veracity Software Pvt. Ltd.

AI Lead

Houston, TX · On-site

... learning, deep learning, or computer vision. • Experience with Azure and AWS cloud platforms and their AI/ML services. • Familiarity with enterprise application development and full-stack ...

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 ...

Augment

Principal Scientist, Data

Houston, TX · On-site

$80 - $83/hr

Key Responsibilities AI/ML Model Development * Design, train, fine-tune, and evaluate machine learning and deep learning models--including LLMs--for predictive analytics and automated decision-making.

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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 Aug 22, 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.

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 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

Artificial Intelligence/Machine Learning Engineer

Soni Resources

Houston, TX • On-site

$100/hr

Full-time

Re-posted 14 days ago

Job description

The AI/ML Engineer is responsible for designing, building, and deploying intelligent systems that enable predictive insights, automation, and smarter decision-making across the enterprise. This individual operates at the intersection of data science, software engineering, and applied research - translating complex business problems into scalable machine learning solutions that deliver measurable impact.
Key Responsibilities:
  • Develop, train, and optimize machine learning and deep learning models using Python, R, TensorFlow, and PyTorch.
  • Partner with product, engineering, and data teams to identify opportunities where AI can drive efficiency or innovation.
  • Build end-to-end ML pipelines, from data ingestion and feature engineering to model deployment and monitoring.
  • Ensure responsible AI practices through bias detection, model explainability, and continuous model retraining.
  • Stay current on emerging trends in generative AI, NLP, and computer vision to drive future capabilities.

Ideal Background:
  • 5-10 years of experience in applied AI/ML
  • Strong foundation in statistics, algorithms, and data engineering.
  • Proven success deploying models in production environments (e.g., AWS Sagemaker, Azure ML).
  • Advanced degree in Computer Science, Data Science, or related field preferred.
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About Soni Resources

Sourced by ZipRecruiter

Soni is a premier staffing & recruitment company that is disrupting the human capital management space. Headquartered in New York, Soni has presence in 23 markets across the United States. We support each professional relationship with a cutting-edge approach, industry-leading insights, and a human touch. We are trusted to help companies and individuals tackle their challenges and capture their greatest opportunities. We are minority-owned, and diversity & inclusion is in our DNA. We are committed to creating environments where people are empowered to be their authentic selves.

Company size

11 - 50 Employees

Headquarters location

New York, NY, US

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