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

AI/ML Engineer

Dallas, TX ยท On-site

$113K - $136K/yr

Strong proficiency in Python, R, or Java, with deep knowledge of OOP principles. * ML/DL Frameworks: Hands-on experience with frameworks such as PyTorch, TensorFlow, Scikit-Learn, or Keras. * Data ...

Senior Python Developer

Plano, TX ยท On-site

$116K - $157K/yr

Senior Python Developer Location: Plano, TX (Onsite) Experience: 10+ Years Job Summary Persistent ... Knowledge of AI/ML libraries such as Pandas, NumPy, TensorFlow, or PyTorch. * Experience with ...

New

Need Locals who can come for Inperson interivew in Irving, TX office. 4+ years in AI/ML engineering ... SQL/Bigquery/Google Cloud Platform, Python, Prompt Engineering, Hands on experience with SOTA LLMs ...

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 ...

Data & ML Engineer

Dallas, TX ยท On-site

$113K - $136K/yr

Expertise in programming languages such as Python or Scala, experience with data processing ... ML infrastructure, CI/CD, DevOps, and MLOps pipelines to support model training and deployment ...

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

Data & ML Engineer

Dallas, TX

$113K - $136K/yr

Expertise in programming languages such as Python or Scala, experience with data processing ... ML infrastructure, CI/CD, DevOps, and MLOps pipelines to support model training and deployment ...

Data & ML Engineer

Dallas, TX ยท On-site

$113K - $136K/yr

Expertise in programming languages such as Python or Scala, experience with data processing ... ML infrastructure, CI/CD, DevOps, and MLOps pipelines to support model training and deployment ...

Strong proficiency in CI/CD, DevOps, and MLOps is essential to support the deployment and ... Proficiency in Python, SQL, Scala, and scripting languages * Experience building production grade ...

Data & ML Engineer

Dallas, TX ยท On-site

$113K - $136K/yr

Strong proficiency in CI/CD, DevOps, and MLOps is essential to support the deployment and ... Proficiency in Python, SQL, Scala, and scripting languages * Experience building production grade ...

Senior Applied ML Engineer

Irving, TX ยท 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 ...

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.

Google Cloud ML Engineer

Dallas, TX ยท On-site

$55.25 - $73.75/hr

Dallas, TX (Day1 Onsite) Duration: Long Term We seek an experienced developer to design, build, and ... Advanced Python skills; experience with ML/NLP libraries (Hugging Face, TensorFlow, PyTorch)

Skills * Required: SQL/Bigquery/Google Cloud Platform, Python, Prompt Engineering, Hands on ... Experience: 4+ years in AI/ML engineering are preferred, with 1+ years specifically focused on ...

ML Engineer

Plano, TX ยท On-site

ML Engineer Location: Plano, TX / Reston, VA (Hybrid) Duration: Long term contract Interview ... Onsite Top Skills' Details: 1. Strong Python and AWS skills 2. Machine Learning, LLM, GenAi ...

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Python Ml Developer information

See Allen, TX salary details

$12

$54

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How much do python ml developer jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for python ml developer in Allen, TX is $54.53, according to ZipRecruiter salary data. Most workers in this role earn between $44.95 and $61.92 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.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI and machine learning systems. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and interpreting complex models, making complete replacement unlikely in the near term. MLEs need skills in programming, data analysis, and model deployment to adapt to evolving AI technologies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. Such roles usually involve leadership, strategic planning, and extensive experience in the field.

Which 3 jobs will survive AI?

For a Python ML Developer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as AI research scientist, data scientist, and software engineer. These jobs involve designing, interpreting, and improving AI models, which currently require advanced expertise, critical thinking, and domain knowledge that AI cannot fully replicate. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience.

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.

Can you do ML in Python?

Yes, Python is widely used for machine learning (ML) development due to its extensive libraries such as TensorFlow, scikit-learn, and PyTorch. Python skills are essential for a Python ML developer to build, train, and deploy ML models efficiently in various environments.
What are popular job titles related to Python Ml Developer jobs in Allen, TX? For Python Ml Developer jobs in Allen, TX, the most frequently searched job titles are:
What job categories do people searching Python Ml Developer jobs in Allen, TX look for? The top searched job categories for Python Ml Developer jobs in Allen, TX are:
What cities near Allen, TX are hiring for Python Ml Developer jobs? Cities near Allen, TX with the most Python Ml Developer job openings:
Infographic showing various Python Ml Developer job openings in Allen, TX as of July 2026, with employment types broken down into 80% Full Time, 10% Part Time, 1% Temporary, and 9% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $113,419 per year, or $54.5 per hour.

AI/ML Engineer

Virtuous Tech Inc

Dallas, TX โ€ข On-site

$113K - $136K/yr

Other

Posted 29 days ago


Job description

AI/ML Engineer

We are seeking a talented and driven AI/ML Engineer to join our active pipeline. In this role, you will collaborate with cross-functional engineering and product teams to design, build, and deploy next-generation machine learning solutions that translate complex business data into intelligent applications. If you are an active job seeker passionate about scalable data pipelines, predictive modeling, and cutting-edge AI infrastructure, we want to connect with you.

Core Responsibilities:
  • Design, develop, and train custom machine learning models and deep learning architectures.

  • Build and maintain scalable data pipelines (ETL) to preprocess large-scale structured and unstructured datasets.

  • Deploy ML models into production environments and monitor performance, latency, and predictive accuracy.

  • Optimize and fine-tune existing algorithms to improve computational and execution efficiency.

  • Collaborate with software engineering teams to integrate AI/ML components seamlessly into core application frameworks.

  • Stay updated with the latest advancements in LLMs, computer vision, or NLP technologies to drive continuous innovation.

Required Skills & Technical Toolkit:
  • Programming Languages: Strong proficiency in Python, R, or Java, with deep knowledge of OOP principles.

  • ML/DL Frameworks: Hands-on experience with frameworks such as PyTorch, TensorFlow, Scikit-Learn, or Keras.

  • Data Architecture: Solid understanding of SQL/NoSQL databases, big data frameworks (Spark, Hadoop), and data manipulation libraries (Pandas, NumPy).

  • Cloud Infrastructure: Familiarity with deploying ML models on cloud environments (AWS, Azure, or Google Cloud Platform) utilizing tools like SageMaker, Docker, or Kubernetes.

  • Education: Bachelorโ€™s or Masterโ€™s degree in Computer Science, Data Science, Statistics, or a related engineering field.