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Machine Learning Engineer Jobs in Conroe, TX (NOW HIRING)

SDH Systems

AI Lead 11+ years of exp

Houston, TX · On-site

$133K - $164K/yr

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 ...

Prodware Solutions

AI Program Manager

Houston, TX · On-site

PMP, CSM, or AI certifications (e.g., Google Professional Machine Learning Engineer) preferred. * 5+ years in program/project management, with 3+ years focused on AI/ML, cloud platforms (AWS, Azure ...

Deloitte

AI Solutions Architect

Houston, TX

$60.25 - $79.25/hr

Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft ...

Deloitte

AI Engineer - SFL Scientific

Houston, TX

Work You'll Do As an AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Expand Energy

Sr. Software Engineer

Spring, TX · On-site

$109K - $143K/yr

They are seeking a Senior Software Engineer responsible for building and operating platforms and tools that support the development and lifecycle management of machine learning models and data ...

Expand Energy

Sr. Software Engineer

Spring, TX

$112K - $148K/yr

... Engineers to identify and define requirements ... Design, develop, and support machine learning operations (MLOps) platforms and tools in support of ...

Deloitte

Senior AI Engineer - SFL Scientific

Houston, TX

$99K - $137K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Vitol

Software Engineer in Data Science

Houston, TX · On-site

$109K - $131K/yr

The individual will work both with our data scientists and machine learning engineers but will also need to directly engage with the commercial teams (across trading, operations, support functions ...

Vitol

Software Engineer in Data Science

Houston, TX · On-site +1

$109K - $131K/yr

The individual will work both with our data scientists and machine learning engineers but will also need to directly engage with the commercial teams (across trading, operations, support functions ...

Vitol

Software Engineer in Data Science

Houston, TX · On-site +1

$109K - $131K/yr

The individual will work both with our data scientists and machine learning engineers but will also need to directly engage with the commercial teams (across trading, operations, support functions ...

Lorven Technologies

Sr AI Engineer

Houston, TX · On-site

$96K - $132K/yr

AI/ML Model Development Design, develop, and optimize machine learning and deep learning models ... Data Engineering & Processing (Optional) * Collect, clean, and preprocess structured and ...

Oxy

AI ML Operations Engineer

Houston, TX · On-site

$66K - $89K/yr

We are looking for an experienced and innovative individual contributor to fill the position of AI Machine Learning Operations Engineer within our AI Center of Excellence group based in Houston, TX. ...

Goldenpick Technologies

Senior AI Engineer

Houston, TX · On-site

$99K - $137K/yr

Design, develop, and optimize machine learning and deep learning models * Build NLP, computer ... Data Engineering & Processing (Optional) * Collect, clean, and preprocess structured and ...

Oxy

AI ML Operations Engineer

Houston, TX

$66K - $89K/yr

We are looking for an experienced and innovative individual contributor to fill the position of AI Machine Learning Operations Engineer within our AI Center of Excellence group based in Houston, TX. ...

DPR Construction

MLOps Engineer

Houston, TX

We are looking for aMLOps Engineerto join our team and contribute to developing robust data solutionsto support our Machine Learning,Data Science, Data Engineering and Software Engineering. Position ...

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Showing results 1-20

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Conroe, TX

Machine Learning Engineer information

See Conroe, TX salary details

$27K

$110.2K

$165.7K

How much do machine learning engineer jobs pay per year?

As of Jun 25, 2026, the average yearly pay for machine learning engineer in Conroe, TX is $110,243.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,900.00 and $132,700.00 per year, depending on experience, location, and employer.

Is ML full of coding?

Machine Learning Engineers typically do a significant amount of coding, especially in languages like Python or R, to develop algorithms, preprocess data, and build models. Strong programming skills are essential, along with knowledge of frameworks such as TensorFlow or PyTorch, but the role also involves data analysis, model evaluation, and collaboration with teams. Coding is a core component of the job, though some tasks may involve model deployment and optimization that require different skills.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-paying industries such as finance or technology can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as they develop, implement, and maintain AI systems, requiring specialized skills in programming, data analysis, and model optimization. Roles that involve complex problem-solving, creativity, and human interaction—such as healthcare professionals, educators, skilled tradespeople, and certain managerial positions—are also expected to persist despite AI advancements. These jobs typically require emotional intelligence, adaptability, and domain expertise that AI cannot easily replicate.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Conroe, TX? The most popular types of Machine Learning Engineer jobs in Conroe, TX are:
What job categories do people searching Machine Learning Engineer jobs in Conroe, TX look for? The top searched job categories for Machine Learning Engineer jobs in Conroe, TX are:
What cities near Conroe, TX are hiring for Machine Learning Engineer jobs? Cities near Conroe, TX with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Conroe, TX as of June 2026, with employment types broken down into 1% As Needed, 97% Full Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $110,243 per year, or $53 per hour.

AI Developer (Local to TX is Must)

Digital Minds Global Technologies Inc.

Houston, TX • On-site

$133K - $164K/yr

Other

Posted 29 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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