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

Sr AI Developer

Irving, TX · On-site

$112K - $151K/yr

Python * AI/ML Engineering * Generative AI / LLMs * PyTorch / TensorFlow / Scikit-learn * LangChain / OpenAI APIs / Hugging Face * MLOps & CI/CD * Azure, AWS, or GCP * RAG Architectures & AI Agents

Tata Consultancy Services is seeking a highly skilled ML Engineer to implement AI/ML models in ... Python to integrate with AI/ML Models. • Understanding of AI/ML Models and how they interface ...

Experience in Object Oriented Programming (Java, Scala, Python), SQL, Unix scripting or related programming languages and exposure to some of Python's ML ecosystem (numpy, panda, sklearn, tensorflow ...

Python Gen AI Developer

Irving, TX · On-site

$46.75 - $64.25/hr

... a Python Gen AI Developer to design, implement, and optimize generative AI models. The role ... ML solutions. Qualifications : Required : • Must be able to work on W2 payroll • Overall 5+ ...

Exposure to Python ML/agent tools like TensorFlow, PyTorch, or LangChain. Data preprocessing and feature engineering with structured and unstructured data. Strong OOP and design patterns, Git, unit ...

AI/ML Engineers Location: Dallas, TX (Hybrid 2 days/week) Local Only Duration: 3 Months Contract ... python scripting Core requirements: • Strong command of SQL and experience with relational ...

The ideal candidate should have strong hands-on coding experience in Python (mandatory) and at ... Implement CI/CD pipelines, DevOps automation, monitoring, observability, and security best ...

Knowledge of speech-to-text and text-to-speech integrations Cloud & DevOps * Proficiency with AWS ... Java or Python * Production-level AI/ML experience * AI/ML architecture expertise * CI/CD pipelines

Lead AI/ML Engineer

Irving, TX

$98K - $129K/yr

As a Lead ML/AI Engineer, you will drive the design and implementation of functionality related to ... Establish strong software engineering principles for development in Python on the Azure/Google ...

AI/ML Engineer Location: Irving, TX Salary Range: $120,000 - $125,000 a year (plus full time ... Strong proficiency in PyTorch (preferred) or TensorFlow, and Python-based ML development. * Solid ...

Senior Applied ML Engineer

Irving, TX · Remote

$125K - $183K/yr

We are looking for a Senior Applied ML Engineer to be part of revolutionizing these industries. We ... Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face). * Experience ...

AI/ML Engineer Location: Plano, TX or Houston, TX or Morris Plains, NJ, (Hybrid) Duration: Contract ... Proficiency in programming languages commonly used in machine learning, such as Python and/or R.

Core Responsibilities (AI/ML, Python, AWS, GenAI) * Design and implement end-to-end AI/ML and Generative AI solutions using Python, including model training, evaluation, optimization, and deployment.

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Python Ml Developer information

See Frisco, TX salary details

$12

$54

$80

How much do python ml developer jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for python ml developer in Frisco, TX is $54.87, according to ZipRecruiter salary data. Most workers in this role earn between $45.24 and $62.31 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 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 are the key skills and qualifications needed to thrive as a Python ML Developer, and why are they important?

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 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 are popular job titles related to Python Ml Developer jobs in Frisco, TX? For Python Ml Developer jobs in Frisco, TX, the most frequently searched job titles are:
What job categories do people searching Python Ml Developer jobs in Frisco, TX look for? The top searched job categories for Python Ml Developer jobs in Frisco, TX are:
What cities near Frisco, TX are hiring for Python Ml Developer jobs? Cities near Frisco, TX with the most Python Ml Developer job openings:
Infographic showing various Python Ml Developer job openings in Frisco, TX as of June 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $114,121 per year, or $54.9 per hour.
Sr AI Developer

Sr AI Developer

BravoTech

Irving, TX • On-site

$112K - $151K/yr

Full-time

Posted 8 days ago


Job description

Job Description
Senior AI Developer
Bravotech, a leader in IT staffing and staff augmentation services, is seeking a talented Senior AI Developer for a premier client. This role is ideal for a hands-on AI engineer who can design, build, and deploy scalable AI/ML solutions while partnering closely with business stakeholders to drive measurable business outcomes.
Top Skills
  • Python
  • AI/ML Engineering
  • Generative AI / LLMs
  • PyTorch / TensorFlow / Scikit-learn
  • LangChain / OpenAI APIs / Hugging Face
  • MLOps & CI/CD
  • Azure, AWS, or GCP
  • RAG Architectures & AI Agents
  • Cloud AI Deployment
  • Data Engineering Fundamentals
Key ResponsibilitiesAI Development & Engineering (70%)
  • Design, develop, and deploy scalable AI/ML solutions including predictive analytics, generative AI, NLP, automation, and optimization platforms.
  • Build production-grade AI pipelines from data ingestion through model deployment, monitoring, and drift detection.
  • Develop and fine-tune LLM-based applications including RAG architectures, copilots, AI agents, and prompt engineering solutions.
  • Write high-quality, maintainable Python code and implement enterprise-grade AI engineering best practices.
  • Implement MLOps processes including CI/CD pipelines, model versioning, monitoring, governance, and automated retraining.
  • Deploy AI solutions across Azure, AWS, or GCP cloud environments.
  • Ensure security, explainability, compliance, and responsible AI standards are embedded into all solutions.
  • Optimize AI workloads for scalability, performance, and cost efficiency.
Business Partnership & Solution Leadership (30%)
  • Translate complex business challenges into scalable AI solution designs.
  • Partner with stakeholders across Finance, Operations, Sales, Marketing, and IT to identify high-value AI opportunities.
  • Lead technical discovery sessions, solution workshops, and architecture whiteboarding discussions.
  • Communicate AI concepts, model outputs, and technical tradeoffs clearly to non-technical leadership.
  • Define ROI metrics, business value, and success measurements for AI initiatives.
  • Mentor junior developers and promote AI best practices across teams.
Required Qualifications
  • 7+ years of software development experience.
  • 3+ years building and deploying AI/ML solutions in production environments.
  • Strong Python development experience.
  • Hands-on experience with ML frameworks including PyTorch, TensorFlow, or scikit-learn.
  • Experience with LLM ecosystems including OpenAI APIs, Hugging Face, LangChain, and vector databases.
  • Strong understanding of data engineering and scalable architecture principles.
  • Experience deploying AI solutions using Azure ML, AWS SageMaker, Vertex AI, or similar platforms.
  • Strong communication skills with the ability to work directly with business stakeholders.
Preferred Qualifications
  • Experience implementing enterprise AI governance frameworks.
  • Experience with AI copilots, intelligent automation, or decision intelligence platforms.
  • Background in analytics, optimization, or operational AI use cases.
  • MBA or strong business acumen.
  • Experience working in regulated or enterprise-scale environments.

Meet Your Recruiter
Angela Hardemon
Text me about this job - 972-419-1615
Please include your name and Job Title in your Text.
Thanks!
  • 972-419-1615
  • ahardemon@bravotech.com