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Artificial Intelligence Machine Learning Engineer Jobs in Rosenberg, TX

Cyber Manager - AI SOC

Houston, TX · On-site

$106K - $143K/yr

Serving as an embedded engineering lead with client teams to translate operational workflows and ... Experience applying artificial intelligence, machine learning, or large language model workflows to ...

... machine learning, and artificial intelligence solutions for industrial and production engineering applications. Focus on building scalable, production-grade analytical systems that support predictive ...

... machine learning, and artificial intelligence solutions for industrial and production engineering applications. Focus on building scalable, production-grade analytical systems that support predictive ...

... artificial intelligence, machine learning, and emerging technologies to solve complex business ... Collaborate closely with engineering, data, and cross-functional teams to ensure successful ...

... Engineer within our Applied AI Center of Excellence group based in Houston, TX. Essential Job ... artificial intelligence, machine learning, and algorithmic techniques to build, maintain, and ...

... artificial intelligence, machine learning, and emerging technologies to solve complex business ... Collaborate closely with engineering, data, and cross-functional teams to ensure successful ...

... Engineer within ourApplied AI Center of Excellence group based in Houston, TX. Essential Job ... artificial intelligence, machine learning, and algorithmic techniques to build, maintain, and ...

Quality Engineer

Houston, TX · On-site

$110K - $120K/yr

Quality Engineer Position Overview: As a Quality Engineer, you will play a crucial role in ... Knowledge of new technologies and their application (Artificial Intelligence, Machine Learning ...

Showing results 41-60

Artificial Intelligence Machine Learning Engineer information

See Rosenberg, TX salary details

$28.1K

$114.9K

$172.7K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for artificial intelligence machine learning engineer in Rosenberg, TX is $114,898.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,600.00 and $138,300.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

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

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Rosenberg, TX?

For Artificial Intelligence Machine Learning Engineer jobs in Rosenberg, TX, the most frequently searched job titles are:

What cities near Rosenberg, TX are hiring for Artificial Intelligence Machine Learning Engineer jobs?

Cities near Rosenberg, TX with the most Artificial Intelligence Machine Learning Engineer job openings:

Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Rosenberg, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $114,898 per year, or $55.2 per hour.

Cyber Manager - AI SOC

Houston, TX • On-site

Deloitte
Finance and Insurance • 10K+ employees

$106K - $143K/yr

Full-time

Re-posted 19 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz


Job description


As a Manager - Cyber Defense and Resilience, you will play a hands-on role in delivering security engineering solutions across client environments, with a focus on modernizing security operations through security information and event management, security orchestration automation and response, detection engineering, telemetry, automation, and artificial intelligence-enabled workflows. In this embedded, client-facing role, you will work directly with client stakeholders to understand operational pain points, design practical solutions, and deploy capabilities in live or near-live environments. You will help translate ambiguous requirements into production-ready workflows, integrations, detections, and automation outcomes.

Recruiting for this role ends on 12/31/2026.

Work you'll do

As a Manager - Cyber Defense and Resilience on the Cyber Defense & Resilience team, you will be responsible for:

  • Leading the design and implementation of secure, scalable security operations solutions across security information and event management, security orchestration automation and response, telemetry, case management, and response platforms
  • Serving as an embedded engineering lead with client teams to translate operational workflows and requirements into production-ready security capabilities
  • Overseeing the deployment of log ingestion, normalization, enrichment, routing, detection, and orchestration workflows using application programming interfaces, connectors, and data pipelines
  • Guiding the application of automation and artificial intelligence to security operations use cases such as triage assistance, workflow orchestration, alert summarization, and response recommendations
  • Mentoring junior practitioners and contributing reusable engineering assets, accelerators, and implementation patterns that support client delivery and practice growth

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte's Cyber Defense & Resilience team helps clients defend against advanced threats by improving security operations, detection engineering, monitoring, automation, analytics, and threat intelligence capabilities. The team works with organizations to strengthen operational resilience, manage evolving attack surfaces, and improve readiness, response, and recovery through scalable engineering and transformation solutions.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Cybersecurity, Information Systems, Engineering, or a related field, or equivalent work experience
  • 10+ years of experience in security operations, detection engineering, security engineering, or enterprise cyber defense
  • Hands-on experience designing, implementing, and optimizing security information and event management, security orchestration automation and response, detection, telemetry, and response workflows across one or more enterprise security platforms
  • Experience building and maintaining integrations, automations, and engineering workflows using Python or a similar scripting language
  • Experience working directly with clients or internal stakeholders to translate operational requirements into technical solutions
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience across multiple security platforms such as security information and event management, security orchestration automation and response, extended detection and response, attack surface management, threat intelligence platforms, endpoint detection and response, and case management tools
  • Experience with Amazon Web Services, Microsoft Azure, or Google Cloud, including security telemetry and cloud-native security services
  • Experience with threat hunting, cyber threat intelligence, or purple team collaboration
  • Experience applying artificial intelligence, machine learning, or large language model workflows to security operations, including orchestration, retrieval, evaluation, or human-in-the-loop response patterns
  • Experience with frameworks or tools that support artificial intelligence-enabled engineering workflows
  • Relevant industry certifications such as Security+, Global Information Assurance Certification Security Essentials, Global Information Assurance Certification Certified Intrusion Analyst, Global Information Assurance Certification Certified Incident Handler, Certified Information Systems Security Professional, Certified Cloud Security Professional, Splunk, cloud security, or related engineering certifications

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


#CyberCDR27

Qualifications:

As a Manager - Cyber Defense and Resilience, you will play a hands-on role in delivering security engineering solutions across client environments, with a focus on modernizing security operations through security information and event management, security orchestration automation and response, detection engineering, telemetry, automation, and artificial intelligence-enabled workflows. In this embedded, client-facing role, you will work directly with client stakeholders to understand operational pain points, design practical solutions, and deploy capabilities in live or near-live environments. You will help translate ambiguous requirements into production-ready workflows, integrations, detections, and automation outcomes.

Recruiting for this role ends on 12/31/2026.

Work you'll do

As a Manager - Cyber Defense and Resilience on the Cyber Defense & Resilience team, you will be responsible for:

  • Leading the design and implementation of secure, scalable security operations solutions across security information and event management, security orchestration automation and response, telemetry, case management, and response platforms
  • Serving as an embedded engineering lead with client teams to translate operational workflows and requirements into production-ready security capabilities
  • Overseeing the deployment of log ingestion, normalization, enrichment, routing, detection, and orchestration workflows using application programming interfaces, connectors, and data pipelines
  • Guiding the application of automation and artificial intelligence to security operations use cases such as triage assistance, workflow orchestration, alert summarization, and response recommendations
  • Mentoring junior practitioners and contributing reusable engineering assets, accelerators, and implementation patterns that support client delivery and practice growth

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Deloitte's Cyber Defense & Resilience team helps clients defend against advanced threats by improving security operations, detection engineering, monitoring, automation, analytics, and threat intelligence capabilities. The team works with organizations to strengthen operational resilience, manage evolving attack surfaces, and improve readiness, response, and recovery through scalable engineering and transformation solutions.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Cybersecurity, Information Systems, Engineering, or a related field, or equivalent work experience
  • 10+ years of experience in security operations, detection engineering, security engineering, or enterprise cyber defense
  • Hands-on experience designing, implementing, and optimizing security information and event management, security orchestration automation and response, detection, telemetry, and response workflows across one or more enterprise security platforms
  • Experience building and maintaining integrations, automations, and engineering workflows using Python or a similar scripting language
  • Experience working directly with clients or internal stakeholders to translate operational requirements into technical solutions
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience across multiple security platforms such as security information and event management, security orchestration automation and response, extended detection and response, attack surface management, threat intelligence platforms, endpoint detection and response, and case management tools
  • Experience with Amazon Web Services, Microsoft Azure, or Google Cloud, including security telemetry and cloud-native security services
  • Experience with threat hunting, cyber threat intelligence, or purple team collaboration
  • Experience applying artificial intelligence, machine learning, or large language model workflows to security operations, including orchestration, retrieval, evaluation, or human-in-the-loop response patterns
  • Experience with frameworks or tools that support artificial intelligence-enabled engineering workflows
  • Relevant industry certifications such as Security+, Global Information Assurance Certification Security Essentials, Global Information Assurance Certification Certified Intrusion Analyst, Global Information Assurance Certification Certified Incident Handler, Certified Information Systems Security Professional, Certified Cloud Security Professional, Splunk, cloud security, or related engineering certifications

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


#CyberCDR27

Education:Bachelor's DegreeEmployment Type:

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