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Deep Learning Developer Jobs in Dallas, TX (NOW HIRING)

The Principal Machine Learning Engineer will define the vision for AI across platforms, lead the ... Preferred : • Deep NLP & Domain‑Adapted LLMs: Background in building and adapting large‑scale ...

Deep Learning - Neural networks, multilayer perceptron, word embeddings, categorical embedding, RNN ... Programming & Scripting - Python, R, Unix-Shell scripting, PySpark

Senior Machine Learning Engineer

Plano, TX · On-site

$100K - $137.30K/yr

We are looking for an experienced Senior Machine Learning Engineer with deep expertise in statistical and machine learning techniques, large-scale data processing, and model deployment in cloud ...

Senior Machine Learning Engineer

Plano, TX · On-site

$100K - $137.30K/yr

We are looking for an experienced Senior Machine Learning Engineer with deep expertise in statistical and machine learning techniques, large-scale data processing, and model deployment in cloud ...

Machine-learning theory and practice (supervised / deep learning) * DevOps & CI/CD (Docker, GitHub Actions, Terraform/CDK) * Cloud security (IAM, KMS, VPC, GuardDuty) * Networking fundamentals * Java ...

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Deep Learning Developer information

See Dallas, TX salary details

$17

$38

$50

How much do deep learning developer jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for deep learning developer in Dallas, TX is $38.03, according to ZipRecruiter salary data. Most workers in this role earn between $32.36 and $42.31 per hour, depending on experience, location, and employer.

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

To thrive as a Deep Learning Developer, you need a strong background in computer science, mathematics, and proficiency in programming languages like Python, often supported by a degree in a related field. Familiarity with deep learning frameworks such as TensorFlow or PyTorch, and experience with cloud platforms or GPU acceleration, are commonly required technical skills. Analytical thinking, problem-solving abilities, and effective teamwork distinguish top performers in this role. These competencies are crucial for designing, training, and deploying advanced neural network models that address complex real-world problems.

What are some common challenges Deep Learning Developers face when deploying models to production environments?

Deep Learning Developers often encounter challenges such as optimizing model performance for real-time inference, managing resource constraints (like GPU/CPU availability), and ensuring model reproducibility across different environments. Additionally, integrating deep learning models into existing software systems and maintaining them over time can be complex, especially as data and requirements evolve. Collaborating closely with DevOps, data engineers, and QA teams is essential to address these challenges and ensure smooth deployment and ongoing reliability.

What are Deep Learning Developers?

Deep Learning Developers are specialized software engineers or data scientists who design, build, and implement artificial intelligence systems using deep learning techniques. They work with neural networks, large datasets, and various frameworks like TensorFlow or PyTorch to develop models for tasks such as image recognition, natural language processing, and autonomous systems. Their responsibilities include data preprocessing, model training, optimization, and deployment to solve complex problems that require advanced pattern recognition. Deep Learning Developers often collaborate with AI researchers, data engineers, and product teams to integrate intelligent features into applications.

Which 3 jobs will survive AI?

Deep Learning Developers are likely to continue to be in demand as AI advances because they design and improve AI models, requiring specialized skills in programming, mathematics, and data analysis. Other resilient roles include AI ethicists, who address ethical considerations, and AI system trainers, who curate and annotate data to improve AI performance. These jobs involve complex problem-solving and human oversight that are less easily automated.

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

AspectDeep Learning DeveloperMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related; experience with neural networksBachelor's or Master's in CS, Data Science, or related; knowledge of algorithms
Work EnvironmentResearch labs, AI startups, tech companies focusing on neural networksData-driven companies, software firms, industries applying machine learning
Industry UsagePrimarily in AI research, neural network development, deep learning projectsBroader application including predictive modeling, data analysis, and ML systems

Deep Learning Developers specialize in neural networks and deep learning models, often working on AI research and complex algorithms. Machine Learning Engineers have a broader focus on developing, deploying, and maintaining machine learning models across various applications. While both roles require similar educational backgrounds, their focus areas and industry applications differ.

What cities near Dallas, TX are hiring for Deep Learning Developer jobs? Cities near Dallas, TX with the most Deep Learning Developer job openings:
Infographic showing various Deep Learning Developer job openings in Dallas, TX as of May 2026, with employment types broken down into 35% Full Time, 58% Part Time, 6% Contract, and 1% Nights. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $79,096 per year, or $38 per hour.
Machine Learning developer

Machine Learning developer

ClifyX

Dallas, TX • On-site

Other

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


Job description

Job Posting

Technology: Machine Learning

Role: Developer

We can consider associates with Python and R experience. Experience range will be 3-5 years.

• Hands-on experience with various machine learning algorithms like Naïve Bayes, Logistic Regression, K Nearest Neighbors.

• Hands-on experience with neural networks and deep learning.

• Hands-on experience and deep understanding of Natural Language Processing

• Hands-on experience and expertise with Python coding

• Deep understanding of data structures and algorithms

We cannot consider any other generic skills, apart from Python.


ClifyX logo

About ClifyX

Sourced by ZipRecruiter

ClifyX is a well-established player in the IT Services sector that specializes in providing result-oriented technological solutions to a wide range of industrial verticals. Based in South Plainfield, New Jersey, ClifyX offers a comprehensive selection of IT services that include project staffing, application development, professional consulting, and other IT-based solutions. While the company's website, clifyx.com, does not divulge the exact founding date, it is clear that ClifyX has grown into a renowned name within their domain, thanks to their unwavering commitment to innovative practices. The company's mission statement revolves around harnessing the power of technology to assist their clientele in steering their respective businesses towards success.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

South Plainfield, NJ, US

Year founded

1998