ZipRecruiter

Log In

1

Junior Ai Machine Learning Python Jobs in Houston, TX

ABM

Director of AI Engineering

Sugar Land, TX · On-site

$143K - $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 ...

Vitol

Senior Machine Learning Engineer

Houston, TX · On-site

$117K - $154K/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 ...

Bespoke Labs

Machine Learning Engineer

Houston, TX

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops ...

Bespoke Labs

Machine Learning Engineer

Houston, TX · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops ...

Vitol

Senior Machine Learning Engineer

Houston, TX · On-site

$116K - $154K/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 ...

previous page

Showing results 41-60

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

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 Aug 6, 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 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 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

Director of AI Engineering

ABM

Sugar Land, TX • On-site

$143K - $205K/yr

Full-time

Re-posted 21 days ago

ABM Industries rating

6.3

Company rating: 6.3 out of 10

Based on 408 frontline employees who took The Breakroom Quiz

170th of 250 rated facilities management

Job description

The Director of AI Engineering is responsible for leading the research, design, development, and deployment of AI solutions as per the business strategy. This role bridges AI research with practical engineering, ensuring that AI models are not only innovative but also scalable, efficient, and production ready.

The director will lead and mentor a team of data scientists and AI engineers to build and operationalize AI-driven products and services. This position will collaborate with various stakeholders and cross-functional teams to integrate these custom-built AI solutions into enterprise systems.

Benefit Information:
ABM offers a comprehensive benefits package. For information about ABM's benefits, visit 2026 Recruiting Flyer - Staff & Mgmt

Pay: $143,500-$205,000
The pay listed is the salary range for this position. Any specific offer will vary based on the successful applicant's 
education, experience, skills, abilities, geographic location, and alignment with market data.
You may be eligible to participate in a Company incentive or bonus program.

ABM (NYSE: ABM) is one of the world's largest providers of integrated facility, engineering, and infrastructure solutions. Every day, our over 100,000 team members deliver essential services that make spaces cleaner, safer, and efficient, enhancing the overall occupant experience.
 
ABM serves a wide range of market sectors including commercial real estate, aviation, education, mission critical, and manufacturing and distribution. With over $8 billion in annual revenue and a blue-chip client base, ABM delivers innovative technologies and sustainable solutions that enhance facilities and empower clients to achieve their goals. Committed to creating smarter, more connected spaces, ABM is investing in the future to meet evolving challenges and build a healthier, thriving world. ABM: Driving possibility, together.

ABM is an Equal Employment Opportunity (EEO) employer that does not discriminate on the basis of any trait or characteristic protected by applicable federal, state, or local law, including disability and protected veteran status. ABM is committed to working with and providing reasonable accommodation to individuals with disabilities. If you have a disability and need assistance in completing the employment application, please call 888-328-8606. We will provide you with assistance and make a determination on your request for reasonable accommodation on a case-by-case basis.

ABM participates in the U.S. Department of Homeland Security E-Verify program. E-Verify is an internet-based system used to electronically confirm employment eligibility.

ABM is a military-friendly company proudly employing thousands of men and women who have served in the U.S. military. With ABM, you'll have access to a world-class training program and ample opportunities to use the skills you developed while serving our country.  Whether you're looking for a frontline or professional position, you can find post-military career opportunities across ABM.

ABM directs all applicants to apply at www.abm.com/careers. ABM does not accept unsolicited resumes or submissions outside of this portal. Applicants should submit their application by clicking Apply Now.
 
For more information, visit www.abm.com

Required Skills & Expertise:

Machine Learning & AI: Deep learning, NLP, generative AI, predictive analytics, reinforcement learning.

MLOps & AI Engineering: Model deployment, cloud-based AI solutions, automation, monitoring, and retraining.

Cloud & Data Platforms: Azure (Synapse, ADF, Databricks), AWS, Google Cloud, Snowflake.

Programming & Frameworks: Python, TensorFlow, PyTorch, Hugging Face, Scikit-learn, SQL.

Expertise and knowledge of OpenAI's GPT models, Gemini, LLaMA, Alteryx.

Big Data & Infrastructure: Spark, Kubernetes, Kafka, data lakes, and scalable AI architectures.

AI Governance & Compliance: Ethical AI, bias mitigation, data privacy laws (GDPR, CCPA).

Preferred Qualifications:

Master's degree in Computer science, Data Science, AI, Machine Learning, or a related field (PhD preferred).

12+ years of experience in AI, data science, or ML engineering.

5+ years in leadership roles, managing AI and data teams.

Experience in deploying AI models at scale in enterprise settings.

Effective communication skills to bridge the gap between AI research, engineering, and business stakeholders.

Key Responsibilities:

Collaborate with stakeholders to ensure that technical strategies are in line with ABM's AI roadmap.

Conduct comprehensive technical research on emerging AI/ML models and technologies to pinpoint viable solutions for development, MVP creation, and deployment.

Spearhead MVP development and productization by rapidly prototyping and validating promising AI solutions.

Align AI initiatives with business objectives by offering expert insights on feasibility, scalability, and integration.

Oversee the development of machine learning models, including those for NLP, computer vision, and predictive analytics.

Guarantee that AI models are robust, scalable, and optimized for real-world application.

Lead research into state-of-the-art AI/ML methodologies for business functions or products, such as deep learning, reinforcement learning, and generative AI.

Collaborate closely with DevOps to streamline the deployment of AI models into production environments. Establish MLops practice and guardrails

Implement industry best practices for AI/ML pipelines, including model monitoring, versioning, and periodic retraining.

Ensure seamless integration of AI models with cloud platforms like Azure (Synapse, ADF, Databricks).

Establish and enforce ethical AI frameworks to promote fairness, mitigate bias, and maintain transparency in AI systems.

Work with security teams to protect AI models and data from potential threats.

Partner with key stakeholders to implement and measure the impact of AI solutions across various business functions.

What ABM Industries employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply