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Junior Ai Machine Learning Python Jobs in Houston, TX

SDH Systems

AI Lead 11+ years of exp

Houston, TX

$133.70K - $164.30K/yr

Python * Agentic AI * Gen AI * NLP Models * Tech Lead experience (Onsite and offshore) Key ... Select and implement machine learning algorithms, NLP models, and other Gen AI technologies.

New

Beth Page tech

Senior Machine Learning Engineer

Houston, TX · On-site

$99.80K - $137K/yr

Senior Machine Learning Engineer Location: Houston, TX Environment: Standard, 5-days onsite : Must ... AI, and predictive analytics. * Python mastery (TensorFlow/PyTorch, Transformers, Scikit-learn)

Purple Drive Technologies

Gen AI Architect

Houston, TX · On-site

Overview: Gen AI Architect * Experience with Generative AI models (e.g., GPT, BERT, DALL-E) and ... Strong programming skills in languages such as Python, R, or Scala. * Expertise in machine learning ...

VC5 Consulting

AI Engineer

Houston, TX · On-site

Engage in knowledge sharing and mentorship with junior team members to foster a collaborative learning environment. * Analyze and optimize backend systems to support efficient AI processing and data ...

Vitol

Senior Machine Learning Engineer

Houston, TX · On-site

$117K - $154.20K/yr

... and generative AI - to commodity pricing, supply/demand signals, trade flow analysis, and ... Fluency in Python for both data science and engineering purposes: clean, modular, well-documented ...

Vitol

Senior Machine Learning Engineer

Houston, TX

$117K - $154.20K/yr

... and generative AI - to commodity pricing, supply/demand signals, trade flow analysis, and ... Fluency in Python for both data science and engineering purposes: clean, modular, well-documented ...

Vitol

Senior Machine Learning Engineer

Houston, TX · On-site

$117K - $154.20K/yr

... and generative AI - to commodity pricing, supply/demand signals, trade flow analysis, and ... Fluency in Python for both data science and engineering purposes: clean, modular, well-documented ...

ABM

Director of AI Engineering

Sugar Land, TX

$143.50K - $205K/yr

Machine Learning & AI: Deep learning, NLP, generative AI, predictive analytics, reinforcement ... Python, TensorFlow, PyTorch, Hugging Face, Scikit-learn, SQL. Expertise and knowledge of OpenAI ...

Cisco

Principal Machine Learning Engineer

Houston, TX · On-site

The Principal Machine Learning Engineer will define the vision for AI across platforms, lead the ... in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) • Experience translating ...

New

Oxy

AI ML Operations Engineer

Houston, TX · On-site

$66.40K - $89.80K/yr

We are looking for an experienced and innovative individual contributor to fill the position of AI ... machine learning methods and algorithms * Strong Python or R programming skills required

Vitol

Senior Machine Learning Engineer

Houston, TX · On-site

$116.90K - $154.20K/yr

... and generative AI - to commodity pricing, supply/demand signals, trade flow analysis, and ... • Fluency in Python for both data science and engineering purposes: clean, modular, well ...

Varsity Tutors

Python Tutor

Pearland, TX · Remote

$40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Emphasizes readable, maintainable code and connects Python to machine learning, web scraping ...

Varsity Tutors

Python Tutor

Missouri City, TX · Remote

$40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Emphasizes readable, maintainable code and connects Python to machine learning, web scraping ...

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Junior Ai Machine Learning Python information

See Houston, TX salary details

$44.4K

$90.3K

$135.6K

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

As of May 29, 2026, the average yearly pay for junior ai machine learning python in Houston, TX is $90,285.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,700.00 and $91,200.00 per year, depending on experience, location, and employer.

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 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 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 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 are popular job titles related to Junior Ai Machine Learning Python jobs in Houston, TX? For Junior Ai Machine Learning Python jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Junior Ai Machine Learning Python jobs in Houston, TX look for? The top searched job categories for Junior Ai Machine Learning Python jobs in Houston, TX are:
What cities near Houston, TX are hiring for Junior Ai Machine Learning Python jobs? Cities near Houston, TX with the most Junior Ai Machine Learning Python job openings:
Junior Ai Machine Learning Python jobs near you

AI Lead with Azure AI

Digital Minds Global Technologies Inc.

Houston, TX

$133.70K - $164.30K/yr

Other

Posted 2 days ago

Job description

Job Title : AI Lead

Location: Houston , TX On-site

Key Responsibilities

 

Lead the day-to-day development of AI solutions, including writing production-grade code and building scalable systems.
Candidate should have good hands-on -Design & Development - Full SDLC in Python, .Net and Strong in Gen AI area. 
Interact directly with customers to understand requirements, propose solutions, and ensure successful delivery.
Design and implement AI-driven features such as chatbots, recommendation engines, Agentic AI, and automation tools.
Build secure and scalable AI pipelines that integrate with enterprise systems and cloud platforms.
Evaluate and apply AI frameworks, libraries, and platforms aligned with business and technical needs.
Select and implement machine learning algorithms, NLP models, and other Gen AI technologies.
Ensure compliance with data privacy, security, and ethical standards in all AI/ML implementations.
Stay current with advancements in Gen AI tools and recommend their adoption within engineering teams.
Provide technical mentorship to developers and engineers working on AI initiatives.
Maintain clear documentation and architecture diagrams for deployed AI solutions.

Qualifications

 

Proven experience as an AI Engineer, Machine Learning Engineer, or similar role, with a portfolio of delivered AI/Gen AI solutions.
Proficiency in AI platforms and tools such as Azure OpenAI, Hugging Face, and LangChain ecosystem (LangGraph, LangSmith, LangFuse).
Strong programming skills in Python, C#, and Node.js, with experience in API development and system integration.
Expertise in NLP, machine learning, deep learning, or computer vision.
Experience with Azure and AWS cloud platforms and their AI/ML services.
Familiarity with enterprise application development and full-stack technologies.
Hands-on experience with chatbot development, automation frameworks, and AI-based decision systems.
Knowledge of AI ethics, data governance, and security best practices.
Excellent problem-solving and communication skills.
Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field.

 

Preferred Qualifications

 

Certifications in AI/ML from Azure or AWS.
Experience with low-code/no-code AI integration tools.
Understanding of DevOps practices for AI/ML model deployment.
Experience in customer-facing roles, with the ability to translate business needs into technical solutions.

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