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Python Ml Developer Jobs in Justin, TX (NOW HIRING)

Verizon

Engineer II - AI/ML Engineering

Irving, TX · On-site

As an AI/ML Engineer (MTS II), you will play a key role in industrializing AI/ML solutions across ... Proficiency in high-concurrency Python programmingFastAPI, PySpark, SQL, Kafka/Pulsar, and Linux ...

Winaxis

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

About the Role:- We are seeking a talented and innovative AI/ML Engineer to design, develop, and ... Strong programming skills in Python. Experience with Machine Learning libraries such as: TensorFlow ...

Winaxis

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

About the Role:- We are seeking a talented and innovative AI/ML Engineer to design, develop, and ... Strong programming skills in Python. Experience with Machine Learning libraries such as: TensorFlow ...

Winaxis

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

About the Role:- We are seeking a talented and innovative AI/ML Engineer to design, develop, and ... Strong programming skills in Python. Experience with Machine Learning libraries such as: TensorFlow ...

Winaxis

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

About the Role:- We are seeking a talented and innovative AI/ML Engineer to design, develop, and ... Strong programming skills in Python. Experience with Machine Learning libraries such as: TensorFlow ...

Winaxis

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

About the Role:- We are seeking a talented and innovative AI/ML Engineer to design, develop, and ... Strong programming skills in Python. Experience with Machine Learning libraries such as: TensorFlow ...

Winaxis

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

About the Role:- We are seeking a talented and innovative AI/ML Engineer to design, develop, and ... Strong programming skills in Python. Experience with Machine Learning libraries such as: TensorFlow ...

Noblesoft Technologies

Gen AI Lead

Dallas, TX · On-site

$138K - $170K/yr

AI/ML Development, Generative AI, LLMs, Python, Web Frameworks, MLOps, Data Engineering Role Overview: Sr AI/ML Lead with around 15+ years of hands-on experience in developing and implementing ...

Winaxis

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

About the Role:- We are seeking a talented and innovative AI/ML Engineer to design, develop, and ... Strong programming skills in Python. Experience with Machine Learning libraries such as: TensorFlow ...

Conch Technologies Inc

MLOps Engineer

Dallas, TX · On-site

... ML model lifecycle. 2. Python Engineering 3. CI/CD 4. Experience with MLOps-driven data science outcomes and handling ML Engineering horizontally, helping multiple products and initiatives. 5. Have ...

Vizient, Inc

Sr AI/ML Engineer

Irving, TX · On-site

$102.40 - $179/hr

Own AI/ML solutions end to end, from scoping and design through implementation, deployment, and ... Strong Python expertise and production‑grade software engineering practices required.

Vizient

Sr AI/ML Engineer

Irving, TX · On-site

$102K - $179K/yr

Own AI/ML solutions end to end, from scoping and design through implementation, deployment, and ... Strong Python expertise and production-grade software engineering practices required. * Experience ...

Vizient, Inc.

Sr AI/ML Engineer

Irving, TX · On-site

$102K - $179K/yr

Own AI/ML solutions end to end, from scoping and design through implementation, deployment, and ... Strong Python expertise and production-grade software engineering practices required. * Experience ...

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All JobsPython Ml Developer JobsPython Ml Developer Jobs in Justin, TX

Python Ml Developer information

See Justin, TX salary details

$15

$69

$101

How much do python ml developer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for python ml developer in Justin, TX is $69.23, according to ZipRecruiter salary data. Most workers in this role earn between $57.07 and $78.65 per hour, depending on experience, location, and employer.

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What are the key skills and qualifications needed to thrive as a Python ML Developer?

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

What cities near Justin, TX are hiring for Python Ml Developer jobs?

Cities near Justin, TX with the most Python Ml Developer job openings:

Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Justin, TX as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 5% Part Time, and 7% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $144,000 per year, or $69.2 per hour.

Engineer II - AI/ML Engineering

Verizon

Irving, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 7 days ago

Verizon rating

7.8

Company rating: 7.8 out of 10

Based on 522 frontline employees who took The Breakroom Quiz

36th of 99 rated telecommunications companies

Job description

When you join Verizon
You want more out of a career. A place to share your ideas freely - even if they're daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love - driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together - lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife.
What you'll be doing..
Transitioning our enterprise roadmap toward modern agentic AI solutions requires dedicated engineering capability to architect autonomous workflows while establishing enterprise-grade governance and safety guardrails. This role is critical to scaling these complex systems safely, controlling cloud compute costs, and accelerating team delivery velocity across our AI/ML initiatives. As an AI/ML Engineer (MTS II), you will play a key role in industrializing AI/ML solutions across Verizon. You will collaborate with Enterprise Architecture, Data Science, and Data Engineering teams to build, deploy, and govern scalable machine learning and Generative AI systems across real-time and batch environments.
  • Design End-to-End GenAI & ML Solutions: Architecting and implementing agentic workflows, multi-step Retrieval-Augmented Generation (RAG) systems, and semantic retrieval pipelines for enterprise applications (e.g., personalization, next-best-action, and customer churn models).
  • Build Automated Evaluation & Governance Pipelines: Establishing programmatic "evals" to continuously measure model accuracy, latency, hallucination rates, and task performance before and after deployment.
  • Production Observability & Monitoring: Implementing enterprise guardrails, tracing, and continuous observability to maintain system uptime, enforce security/privacy standards, and diagnose performance bottlenecks.
  • Optimize Cloud & Model Performance: Implementing model routing, prompt/semantic caching, and cost-control strategies across cloud AI platforms (GCP Vertex AI, AWS Bedrock) and self-hosted models.

What we're looking for...
You will need to have:
  • Bachelor's degree or one or more years of relevant work experience.
  • One or more years of relevant work experience, demonstrated through one or a combination of work and/or military experience, or specialized training.
  • Experience in Machine Learning Engineering, Data Engineering, or Software Architecture.
  • Hands-on experience with ML Engineering techniques and tools, including real-time/batch processors and model measurement techniques.
  • Hands-on experience with cloud platforms (Google Cloud Platform preferred, or AWS) and modern ML development lifecycles.

Even Better If You Have
  • Knowledge of end-to-end Model Development & Management Lifecycles (MLOps/LLMOps), including model inventory tracking, validation, and governance frameworks.
  • Hands-on experience with containerized microservices (Docker, Kubernetes) and CI/CD automation tools (Jenkins, GitLab CI).
  • Experience designing and implementing agentic workflows, autonomous tool-calling systems, and RAG architectures using vector databases
  • Proficiency in high-concurrency Python programmingFastAPI, PySpark, SQL, Kafka/Pulsar, and Linux/Unix environments.
  • Familiarity with enterprise model governance frameworks (bias assessments, Responsible AI standards).

If Verizon and this role sound like a fit for you, we encourage you to apply even if you don't meet every "even better" qualification listed above.
Where you'll be working
In this hybrid role, you'll have a defined work location that includes working from home and a minimum of three days per week in the office, which will be set by your manager. Employees are responsible for maintaining compliance with hybrid work policies.
Scheduled Weekly Hours
40
Equal Employment Opportunity
Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics.
Benefits and Compensation
Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefit options including: medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and group home & auto insurance. We also offer a matched 401(k) savings plan, up to 8 company paid holidays per year and up to 6 personal days per year, paid parental leave, adoption assistance and tuition assistance, plus other incentives, we've got you covered with our award-winning total rewards package. Depending on the role, employees have the opportunity to receive compensation in the form of premium pay such as overtime, shift differential, holiday pay, allowances, etc. Newly hired employees receive up to 15 days of vacation per year, which grows with additional service. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances.
The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part-time roles, your compensation will be adjusted to reflect your hours.
The salary range for the location(s) listed on this job requisition based on a full-time schedule is: $72,000.00 - $129,000.00.

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