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Pytorch Developer Jobs in Dallas, TX (NOW HIRING)

AI/ML Engineer

Dallas, TX · Remote

$140K - $220K/yr

Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn ... Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and ...

... PyTorch, TensorFlow). Architect modular, scalable, and extensible frameworks for APIs, data ... Implement best practices in software engineering: OOP, design patterns, modular architecture.

AI/ML Engineer

Dallas, TX · Remote

$140K - $220K/yr

Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn ... Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and ...

We are seeking a Junior AI Engineer to work out of Plano, TX Requirements * Bachelor''s degree in ... Experience with PyTorch/TensorFlow and Git. Preferred * LangChain, LlamaIndex, Vector Databases.

Engineer

Irving, TX · On-site

$90K - $100K/yr

Hands-on knowledge in machine learning frameworks like PyTorch, TensorFlow, Keras * Hands-On ... Prompt engineering * Deployment and maintenance of AI models across all environments including ...

Engineer

Irving, TX · On-site

$95K - $105K/yr

Hands-on knowledge in machine learning frameworks like PyTorch, TensorFlow, Keras * Hands-On ... Prompt engineering * Deployment and maintenance of AI models across all environments including ...

Python Developer with ML - Dallas, TX

Dallas, TX · On-site

$49.75 - $68.50/hr

... PyTorch, TensorFlow). • Architect modular, scalable, and extensible frameworks for APIs, data processing, or AI integrations. • Implement best practices in software engineering: OOP, design ...

AI/ML Engineer - Plano, TX

Plano, TX · On-site

$110K - $132K/yr

Python programming Machine Learning & Deep Learning TensorFlow / PyTorch / Scikit-learn End-to-end ML pipeline development Model deployment & REST APIs SQL / NoSQL databases Data structures ...

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Pytorch Developer information

What is a PyTorch Developer?

A PyTorch Developer is a software engineer or data scientist who specializes in using PyTorch, an open-source machine learning library, to build and deploy deep learning models. Their responsibilities typically include designing neural network architectures, training and evaluating models, and optimizing code for performance. PyTorch Developers work in fields such as artificial intelligence, computer vision, and natural language processing, collaborating with teams to solve complex problems using machine learning. They are proficient in Python and have a strong understanding of deep learning concepts. Additionally, they often contribute to research, development, and the deployment of AI solutions in production environments.

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

To thrive as a Pytorch Developer, you need strong programming skills in Python, a solid grasp of machine learning concepts, and experience with deep learning frameworks—especially PyTorch itself. Familiarity with tools like CUDA, Jupyter Notebooks, and version control systems (e.g., Git) is typically expected, along with knowledge of cloud platforms or relevant certifications. Problem-solving ability, effective collaboration, and clear communication are crucial soft skills for success in this role. These skills and qualities are vital for efficiently building, optimizing, and deploying machine learning models in real-world applications.

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

AspectPytorch DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, experience with PyTorchBachelor's or higher in CS, data science, or related field, with ML experience
Work EnvironmentResearch labs, AI startups, tech companies focusing on deep learningTech companies, finance, healthcare, often involving deployment and scaling ML models
Industry UsagePrimarily in AI research and development teamsAcross industries implementing ML solutions in production

While both roles require knowledge of machine learning and experience with PyTorch, a Pytorch Developer mainly focuses on developing and optimizing deep learning models using PyTorch. A Machine Learning Engineer often has a broader scope, including deploying, maintaining, and scaling ML models across various platforms and industries.

What are some common challenges Pytorch Developers face when deploying machine learning models to production environments?

Pytorch Developers often encounter challenges when transitioning models from research to production, such as optimizing model performance for inference speed and memory usage, ensuring compatibility with deployment frameworks like TorchScript or ONNX, and managing dependencies across different systems. Additionally, integrating PyTorch models into existing software stacks and maintaining reproducibility can be complex. Collaborating closely with DevOps and data engineering teams is crucial to address these issues and ensure smooth deployment.
What cities near Dallas, TX are hiring for Pytorch Developer jobs? Cities near Dallas, TX with the most Pytorch Developer job openings:
Infographic showing various Pytorch Developer job openings in Dallas, TX as of May 2026, with employment types broken down into 81% Full Time, 7% Part Time, and 12% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution.
Senior Data Scientist Consultant (Python, SQL, TensorFlow, PyTorch, Scikit-Learn, FTE, Onsite)

Senior Data Scientist Consultant (Python, SQL, TensorFlow, PyTorch, Scikit-Learn, FTE, Onsite)

NTT DATA Services

Plano, TX • On-site

$63K - $131K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


NTT Data rating

7.3

Company rating: 7.3 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

107th of 203 rated it services


Job description

Req ID: 374304
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Senior Data Scientist Consultant (Python, SQL, TensorFlow, PyTorch, Scikit-Learn, FTE, Onsite) to join our team in Plano, Texas (US-TX), United States (US).
"Please note that we are unable to consider candidates with active CPT, OPT, or OPT EAD status for this specific role."
Required Qualifications & Skills:
• Technical Proficiency: Strong coding skills in languages like Python, and SQL; experience with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Statistical Expertise: Deep understanding of statistical modeling, probability, and advanced mathematical concepts.
• Domain Knowledge: Understanding of financial regulations (e.g., SR 11-7, CECL, CCAR) if working in banking.
• Soft Skills: Excellent technical writing and stakeholder communication; the ability to explain complex quantitative risks to non-technical business partners and legal/compliance teams.
Experience: Typically requires 7+ overall and 3-5+ years of experience in data science, risk management, or quantitative analysis
Key Responsibilities:
• Model Validation: Conduct independent reviews and testing of quantitative models, including design approach, sampling approach, sensitivity analysis, and robustness checks.
• Risk Assessment: Assess models for conceptual soundness, data limitations, and quantitative biases (e.g., fairness and ethical AI standards).
• Compliance & Governance: Ensure all modeling lifecycles align with internal MRM frameworks and regulatory mandates.
• Effective Challenge: Provide constructive, actionable feedback and challenges to model developers regarding model design and limitations.
• Documentation: Author comprehensive validation reports and maintain documentation for audit purposes and senior management review
Must reside in the US
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $63,216.00-$131,700.00. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications.
This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short- and long-term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally required benefits.
This position is not open to employer sponsorship*
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About NTT DATA
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

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About NTT DATA

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NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Plano, TX, US

Year founded

1967