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Python Ml Developer Jobs in Fort Worth, TX (NOW HIRING)

Genesis10

AI/ML Engineer - Hybrid

Plano, TX · Hybrid

$63.68 - $71.68/hr

Design and develop production-grade Python APIs and services * Deploy and operate applications on OpenShift * Develop AI process models * Partner with AI/ML engineers to productionize model ...

Percient Inc.

AI/ML

Dallas, TX

$139K - $170K/yr

Python AI/ML Developer Location: Dallas, TX : Drive architecture, design, and implementation of enterprise-grade AI/ML, NLP, and LLM-based systems. Lead model development, scalable backend ...

Real Soft, Inc.

AI/ML Developer

Frisco, TX · On-site

Python, TypeScript, LangChain to name a few. Must Have Required skills * AI / ML experience BEFORE 2023 (non-negotiable) * Strong hands-on coding engineer (not just architecture or MLOps) * GitHub ...

Diverse Lynx

AI/ML Engineer

Farmers Branch, TX

Collaborate with data engineers and product teams to translate business requirements into ML ... Python, ML, LLM, deep Learning, NLP Diverse Lynx LLC is an Equal Employment Opportunity employer.

Futran Tech Solutions Pvt. Ltd.

Python AI/ML

Plano, TX · On-site

$60/hr

Python AI/ML Engineer Location: - Onsite- Plano, TX Experience: - 10+Years Mandatory skills • Gen AI, GPT, AWS, Python, Healthcare Rate : $60/Hour on C2C 1st preference given to locals ...

New

Yantran LLC

Python AI ML Engineer

Plano, TX

We are seeking a highly skilled Senior Software Developer with a strong background in AI/ML ... Strong programming skills in languages such as Python, Java, or C++. Deep understanding of data ...

Photon

Python Developer with ML - Dallas, TX

Dallas, TX

$49.75 - $68.50/hr

Our team is looking for a skilled Python Developer for ML with deep expertise in framework design and exposure to Agentic AI systems. You will play a pivotal role in architecting scalable frameworks ...

Photon

Python Developer with ML - Dallas, TX

Dallas, TX · On-site

$49.75 - $68.50/hr

Our team is looking for a skilled Python Developer for ML with deep expertise in framework design and exposure to Agentic AI systems. You will play a pivotal role in architecting scalable frameworks ...

AgreeYa Solutions

ML Engineer

Plano, TX

Title- ML Engineer Location- Plano, TX- Fully Onsite From Day-1 Type- Contract- C2C Works Duration ... Strong Python, Databricks and PySpark experience with Spark, Kafka, Snowflake, MongoDB, PostgreSQL ...

Salesforce

ML Engineer

Plano, TX · On-site

Role: ML Engineer Number of positions: 3 Location: Plano, TX (Onsite- Customer Site)Experience ... Strong Python, Databricks and PySpark experience with Spark, Kafka, Snowflake, MongoDB, PostgreSQL ...

Salesforce

ML Engineer

Murphy, TX

Role: ML Engineer Number of positions: 3 Location: Plano, TX (Onsite- Customer Site)Experience ... Strong Python, Databricks and PySpark experience with Spark, Kafka, Snowflake, MongoDB, PostgreSQL ...

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Python Ml Developer information

See Fort Worth, TX salary details

$12

$56

$82

How much do python ml developer jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for python ml developer in Fort Worth, TX is $56.18, according to ZipRecruiter salary data. Most workers in this role earn between $46.30 and $63.80 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 Fort Worth, TX? For Python Ml Developer jobs in Fort Worth, TX, the most frequently searched job titles are:
What job categories do people searching Python Ml Developer jobs in Fort Worth, TX look for? The top searched job categories for Python Ml Developer jobs in Fort Worth, TX are:
What cities near Fort Worth, TX are hiring for Python Ml Developer jobs? Cities near Fort Worth, TX with the most Python Ml Developer job openings:
Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Fort Worth, TX as of June 2026, with employment types broken down into 96% Full Time, 3% Part Time, and 1% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $116,859 per year, or $56.2 per hour.
AI/ML Engineer - Hybrid

AI/ML Engineer - Hybrid

Genesis10

Plano, TX • Hybrid

$63.68 - $71.68/hr

Other

Posted 6 days ago

Job description

AI/ML Engineer

Genesis10 is currently seeking an AI/ML Engineer for a hybrid position with a Global Financial Institution located in Plano, TX. This is a 12+ month contract opportunity.

This role is centered on designing, developing, and deploying advanced AI/ML systems, building next-generation agentic AI solutions powered by retrieval-augmented generation (RAG). The ideal candidate will have deep expertise in Python-based AI development, modern orchestration frameworks like LangGraph, and a strong background in modeling to ensure systems are governed, explainable, and trustworthy. This position requires a minimum of 3 days per week onsite.

Responsibilities:
  • Design and develop production-grade Python APIs and services
  • Deploy and operate applications on OpenShift
  • Develop AI process models
  • Partner with AI/ML engineers to productionize model capabilities into usable backend services
  • Remediate vulnerabilities in Python libraries, container images, and OpenShift deployment configurations
  • Design and implement advanced RAG pipelines using vector databases, embeddings, knowledge graphs, and hybrid retrieval strategies
  • Develop agentic AI systems using LangGraph, enabling dynamic task planning, reasoning, tool orchestration, and multi-agent workflows
  • Integrate Model Context Protocol (MCP) for standardized context sharing, tool interoperability, and scalable agent communication
  • Design memory systems and contextual state management for agent continuity and long-running workflows
  • Implement evaluation pipelines, prompt engineering strategies, and guardrails to ensure performance, safety, and reliability
  • Apply Model Risk Management (MRM) practices across the AI lifecycle, including model validation, explainability, bias detection, monitoring, and documentation
Requirements:
  • Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
  • Strong proficiency in Python programming, with experience building scalable AI/ML systems
  • Hands-on experience with agentic AI frameworks, particularly LangGraph, and emerging standards such as Model Context Protocol (MCP)
  • Strong experience designing and implementing advanced RAG architectures, including Graph RAG
  • Experience with LLM orchestration frameworks such as LangChain, LangGraph, and LlamaIndex
  • Proven experience deploying LLM-powered production systems
  • Strong experience with Python ML/AI frameworks such as PyTorch, TensorFlow, and Scikit-learn
  • Hands-on experience with vector databases (FAISS, Pinecone, Weaviate, Azure AI Search) and semantic retrieval systems
  • Deep understanding of agent orchestration patterns, including planning, reflection, tool usage, and multi-agent collaboration
  • Strong understanding of LLMOps/MLOps, including CI/CD, observability, monitoring, and performance optimization
  • Working knowledge of Model Risk Management (MRM) frameworks including governance, validation, and lifecycle controls
  • Familiarity with AI safety and alignment techniques, including guardrails and bias mitigation
  • Proficiency with development tools such as GitHub, VS Code, and JIRA
Desired Skills:
  • Experience working in an Agile development methodology
  • Experience with RAG and LLM
  • Mainframe - API integration

Pay range: $63.68 - $71.68 per hour

Only candidates available and ready to work directly as Genesis10 employees will be considered for this position.

If you have the described qualifications and are interested in this exciting opportunity, please apply!

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About Genesis10

Sourced by ZipRecruiter

For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

New York, NY, US

Year founded

1999

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