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Trainee Computer Science Artificial Intelligence Jobs in Dallas, TX

Winaxis

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Statistics, or a related field. Strong programming skills in Python.

Winaxis

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Statistics, or a related field. Strong programming skills in Python.

Winaxis

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Statistics, or a related field. Strong programming skills in Python.

Winaxis

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Statistics, or a related field. Strong programming skills in Python.

Saransh Inc

Gen AI with Co Pilot - Remote

Westlake, TX · On-site

Bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, or a related field (PhD preferred). * 10+ years of experience in AI/ML, with at least 3+ years in hands ...

Deloitte

Lead AI and Data Science Engineer II

Dallas, TX · On-site

$101K - $133K/yr

Develop full-stack, web-based data and generative artificial intelligence (GenAI) applications that ... Graduate degree in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational ...

ConnectedX, Inc.

ML Engineer

Plano, TX · On-site

Required Qualifications : · Bachelor''''s or Master''''s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field. · Strong proficiency in Python ...

Deloitte

Lead AI and Data Science Engineer II

Fort Worth, TX · On-site

$98K - $129K/yr

Develop full-stack, web-based data and generative artificial intelligence (GenAI) applications that ... Graduate degree in Applied Statistics, Computer Science, Life Sciences, Industrial-Organizational ...

Prophecy Technologies

AI/ML Engineer

Plano, TX · On-site

$109K - $131K/yr

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field. * 10+ years of hands-on experience in Artificial Intelligence, Machine ...

Saransh Inc

Gen AI Tech Lead

Westlake, TX · On-site

Bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, or a related field (PhD preferred). * 10+ years of experience in AI/ML, with at least 3+ years in hands ...

Aivra Health LLC

AI/ML Engineer

Dallas, TX · On-site

Master''s degree in Computer Science, Information Technology, Artificial Intelligence, Machine Learning, Data Science, Engineering, Mathematics, or a related technical field. * Master''s degree ...

New

Mastech Digital

Senior Security Engineer

Irving, TX · On-site

$109K - $150K/yr

Bachelor's degree in Cybersecurity, Artificial Intelligence, Computer Science, or related highly technical field * 5+ years in security engineering, application security, cloud security, or detection ...

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Trainee Computer Science Artificial Intelligence information

See Dallas, TX salary details

$26.2K

$37.6K

$56.9K

How much do trainee computer science artificial intelligence jobs pay per year?

As of Aug 13, 2026, the average yearly pay for trainee computer science artificial intelligence in Dallas, TX is $37,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,700.00 and $41,500.00 per year, depending on experience, location, and employer.

How do I get a job in artificial intelligence with no experience?

To get a trainee computer science artificial intelligence position with no experience, focus on building foundational skills in programming languages like Python, learn key AI concepts such as machine learning and neural networks, and complete online courses or certifications. Gaining practical experience through personal projects, internships, or contributing to open-source AI initiatives can also improve your chances.

Is artificial intelligence taking entry-level computer science jobs?

Artificial intelligence is transforming many entry-level computer science roles by automating tasks such as data analysis, coding, and testing. However, entry-level positions still require foundational skills in programming, algorithms, and problem-solving, and AI often creates new opportunities rather than replacing all jobs at this level.

Can I get an artificial intelligence job with a computer science degree?

A computer science degree provides a strong foundation for an artificial intelligence (AI) job, as it covers programming, algorithms, and data structures essential for AI roles. Additional skills in machine learning, deep learning, and experience with tools like Python, TensorFlow, or PyTorch can improve job prospects in AI positions such as AI engineer or data scientist.

What are the most commonly searched types of Computer Science Artificial Intelligence jobs in Dallas, TX?

The most popular types of Computer Science Artificial Intelligence jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Trainee Computer Science Artificial Intelligence jobs?

Cities near Dallas, TX with the most Trainee Computer Science Artificial Intelligence job openings:

Trainee Computer Science Artificial Intelligence jobs near you

AI/ML Engineer

Winaxis

Dallas, TX • On-site

$113K - $136K/yr

Full-time

Re-posted 26 days ago

Job description

About the Role:- We are seeking a talented and innovative AI/ML Engineer to design, develop, and deploy machine learning and artificial intelligence solutions that solve real-world business problems. The ideal candidate should have strong expertise in machine learning algorithms, data processing, model deployment, and cloud technologies. 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 applications using NLP, Computer Vision, Generative AI, and predictive analytics techniques. Deploy machine learning models into production environments using MLOps best practices. Work with large datasets and perform data preprocessing, feature engineering, and model evaluation. Collaborate with data engineers, software developers, and business stakeholders to understand requirements and deliver AI solutions. Monitor model performance and implement continuous improvements. Research and evaluate emerging AI technologies, frameworks, and industry trends. Develop APIs and microservices for AI model integration. Ensure data security, model governance, and compliance standards are maintained. Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Statistics, or a related field. Strong programming skills in Python. Experience with Machine Learning libraries such as: TensorFlow PyTorch Scikit-learn XGBoost Strong understanding of: Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP) Computer Vision Reinforcement Learning (preferred) Experience with SQL and NoSQL databases. Knowledge of model deployment frameworks such as Docker, Kubernetes, and MLflow. Experience working with cloud platforms such as AWS, Azure, or GCP. Familiarity with version control systems like Git. Preferred Qualifications Experience with Generative AI technologies and Large Language Models (LLMs). Hands-on experience with: LangChain LlamaIndex Hugging Face OpenAI APIs Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS) Experience in RAG (Retrieval-Augmented Generation) implementations. Knowledge of MLOps tools and CI/CD pipelines. Experience with Databricks and Apache Spark. Technical Skills Python SQL TensorFlow PyTorch Scikit-learn Pandas NumPy Apache Spark MLflow Docker Kubernetes AWS/Azure/GCP Git REST APIs Generative AI & LLMs Soft Skills Strong analytical and problem-solving abilities. Excellent communication and collaboration skills. Ability to work independently and in a team environment. Strong attention to detail and commitment to quality. Nice to Have AI Agent Development Multi-Agent Systems Prompt Engineering Fine-tuning LLMs Knowledge Graphs MLOps Certification Cloud Certifications (AWS, Azure, GCP)