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Junior Ai Machine Learning Python Jobs in Westlake, TX

Winaxis

AI Engineer

Dallas, TX · On-site

Strong programming skills in Python. * Basic understanding of Machine Learning concepts and NLP. * Familiarity with Generative AI and Large Language Models. * Knowledge of AI frameworks such as ...

Yum! Brands

Machine Learning Engineer II

Plano, TX · On-site

Proficiency in Python with strong software engineering skills and experience in building scalable ... Familiarity with latest tools and trends surrounding Large Language Models and Generative AI.

Vizient, Inc.

AVP, Machine Learning & Modeling

Irving, TX · On-site

$156K - $290K/yr

Strategic Leadership and Vision Provide strategic direction for the organization's machine learning ... Strong proficiency in Python, SQL, and with cloud-based AI/ML platforms (AWS SageMaker, Azure ML ...

Tiger Analytics

Machine Learning Engineer

Plano, TX · On-site

$120 - $150/hr

Overview Tiger Analytics is looking for experienced Machine Learning Engineer with Gen AI ... Python (Fast API) deployed on AWS Fargate (ECS) . * Integrate LLM and Generative AI APIs using ...

Vizient

AVP, Machine Learning & Modeling

Irving, TX · On-site

$156K - $290K/yr

Strategic Leadership and Vision Provide strategic direction for the organization's machine learning ... Strong proficiency in Python, SQL, and with cloud-based AI/ML platforms (AWS SageMaker, Azure ML ...

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All JobsAi Machine Learning Python JobsJunior Ai Machine Learning Python JobsJunior Ai Machine Learning Python Jobs in Westlake, TX

Junior Ai Machine Learning Python information

See Westlake, TX salary details

$44.7K

$90.8K

$136.4K

How much do junior ai machine learning python jobs pay per year?

As of Sep 4, 2026, the average yearly pay for junior ai machine learning python in Westlake, TX is $90,785.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,100.00 and $91,700.00 per year, depending on experience, location, and employer.

What does a junior AI machine learning Python engineer do?

A Junior AI Machine Learning Python engineer assists in developing, testing, and maintaining machine learning models using Python. They typically work with data preparation, preprocessing, and applying basic algorithms to solve real-world problems. Under the guidance of senior engineers, they help implement solutions, evaluate model performance, and may contribute to the deployment of models into production environments. Their role often includes learning best practices in coding, software development, and collaborating with data scientists and engineers.

What are some typical projects or tasks a junior AI machine learning Python developer might work on in their first year?

As a Junior AI/Machine Learning Python developer, you can expect to work on tasks such as cleaning and preparing datasets, developing and testing simple machine learning models, and assisting in the implementation of algorithms under the supervision of senior team members. You may also help automate data pipelines, write scripts for data extraction, and contribute to model evaluation and reporting. Collaboration with data scientists, software engineers, and product managers is common, providing valuable learning opportunities and exposure to the full machine learning workflow.

What are the key skills and qualifications needed to thrive as a junior AI machine learning Python engineer, and why are they important?

To thrive as a Junior AI Machine Learning Python Engineer, you need a solid understanding of Python programming, statistics, and foundational machine learning concepts, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, Scikit-learn, Jupyter Notebooks, and version control systems such as Git is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork skills help individuals excel in collaborative and fast-evolving technical environments. These competencies are crucial for developing robust AI solutions, learning from senior colleagues, and adapting to the rapidly changing landscape of machine learning.

What is the difference between Junior Ai Machine Learning Python vs Data Analyst?

AspectJunior Ai Machine Learning PythonData Analyst
Required SkillsPython, Machine Learning, AI concepts, data preprocessingExcel, SQL, data visualization, basic statistical analysis
CertificationsPython certifications, AI/ML coursesData analysis or visualization certifications
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing departments
Industry UsageDeveloping AI models, machine learning pipelinesInterpreting data, generating reports, supporting decision-making

Junior Ai Machine Learning Python roles focus on developing AI models using Python and machine learning techniques, often in tech-driven environments. Data Analysts primarily interpret data, create visualizations, and support business decisions. While both roles require analytical skills, AI/ML roles demand programming and AI-specific knowledge, whereas Data Analysts focus on data interpretation and reporting.

What cities near Westlake, TX are hiring for Junior Ai Machine Learning Python jobs?

Cities near Westlake, TX with the most Junior Ai Machine Learning Python job openings:

Junior Ai Machine Learning Python jobs near you
Infographic showing various Junior Ai Machine Learning Python job openings in Westlake, TX as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 25% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $90,785 per year, or $43.6 per hour.

AI Engineer

Winaxis

Dallas, TX • On-site

Full-time

Posted 9 days ago

Job description

Position : AI EngineerExperience

0–3 Years

Employment Type

Full-time

Location

Hybrid

About the Role

We are looking for a passionate and enthusiastic AI Engineer to join our growing AI team. This role is ideal for fresh graduates and early-career professionals who are eager to build intelligent applications using Generative AI, Large Language Models (LLMs), and Machine Learning. You will work alongside experienced engineers to develop, test, and deploy AI-powered solutions that solve real business problems.

Key Responsibilities

  • Develop and maintain AI-powered applications using modern AI frameworks.

  • Build and integrate solutions using Large Language Models (OpenAI, Gemini, Claude, Llama, etc.).

  • Assist in developing Retrieval-Augmented Generation (RAG) pipelines and AI agents.

  • Write clean, efficient, and well-documented Python code.

  • Integrate AI models with web applications and REST APIs.

  • Perform prompt engineering and optimize AI model outputs.

  • Work with structured and unstructured data for AI applications.

  • Debug, test, and improve AI solutions based on performance metrics.

  • Collaborate with software engineers, product managers, and designers to deliver AI features.

  • Stay updated with the latest advancements in Generative AI and Machine Learning.

Required Skills

  • Bachelor's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related field.

  • 0–3 years of experience in AI, Machine Learning, or Software Development (internships and academic projects are welcome).

  • Strong programming skills in Python.

  • Basic understanding of Machine Learning concepts and NLP.

  • Familiarity with Generative AI and Large Language Models.

  • Knowledge of AI frameworks such as LangChain, LlamaIndex, or similar is a plus.

  • Understanding of REST APIs and JSON.

  • Basic knowledge of SQL and databases.

  • Familiarity with Git and version control.

  • Strong analytical, problem-solving, and communication skills.

  • Eagerness to learn and adapt to new AI technologies.

Preferred Skills

  • Hands-on experience with OpenAI, Gemini, Claude, or other LLM APIs.

  • Basic understanding of Retrieval-Augmented Generation (RAG).

  • Familiarity with vector databases such as Chroma, Pinecone, FAISS, or Weaviate.

  • Knowledge of FastAPI or Flask.

  • Exposure to cloud platforms such as AWS, Azure, or Google Cloud.

  • Experience with Docker is an added advantage.

  • Personal AI projects, hackathons, internships, or GitHub contributions.

What We're Looking For

  • Passion for Artificial Intelligence and emerging technologies.

  • Strong curiosity and willingness to experiment with new tools.

  • Ability to work independently and as part of a collaborative team.

  • Good communication and documentation skills.

  • A growth mindset and eagerness to continuously learn.

What We Offer

  • Opportunity to work on cutting-edge AI and Generative AI projects.

  • Mentorship from experienced AI engineers.

  • Learning and certification support.

  • Career growth in a fast-paced AI environment.

  • Collaborative and innovation-driven workplace.

  • Competitive salary and benefits.

Experience: 0–3 Years (Freshers are encouraged to apply)
Department: Artificial Intelligence