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Executive Full Stack Machine Learning Engineer Jobs in Texas

They are seeking a Senior Full Stack Engineer who will lead and build scalable systems, guide ... machine learning models • Previous work on internal platforms, automation, or infrastructure ...

Machine Learning Engineer

Austin, TX · On-site

$170K - $250K/yr

Your Job The ML Engineer will build physics-informed surrogate models on Azure Machine Learning ... Benchmark surrogate vs. full-simulation speedup to guide platform-level performance tuning. Who You ...

Engineering & Product As a Staff Machine Learning Engineer: You will play a key technical role on ... Full-stack with data : You're comfortable starting from a raw, unrefined data source that no one ...

Engineering & Product As a Staff Machine Learning Engineer: You will play a key technical role on ... Full-stack with data : You're comfortable starting from a raw, unrefined data source that no one ...

Software Engineer - Full Stack & AI Build Intelligent Software That Drives Innovation We're looking ... Develop, test, and maintain machine learning workflows and AI-enabled solutions. * Participate in ...

Full timeposted on: Posted Todayjob requisition id: R249230Lead Machine Learning Engineer**Join the Dealer Tech division within Capital One's Financial Services Technology group, where we develop and ...

Machine Learning Engineer

Austin, TX · On-site

$199K - $331K/yr

Engineers on the BCI team utilize signal processing and machine learning to communicate with the brain. You will have access to the most cutting-edge neural interface hardware and develop ...

Senior Machine Learning Engineer

Houston, TX · On-site

$117K - $154K/yr

The Machine Learning Engineer at Vitol has visibility and impact across the full project workflow: from working with business stakeholders to help define the project, to data collation and processing ...

Engineers on the BCI team utilize signal processing and machine learning to communicate with the brain. You will have access to the most cutting-edge neural interface hardware and develop ...

Showing results 41-60

Executive Full Stack Machine Learning Engineer information

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

AspectExecutive Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Engineering, or related; often requires experience in ML and full stack developmentBachelor's/Master's in Data Science, Statistics, or related; strong analytical and statistical skills
Work EnvironmentDevelops end-to-end ML solutions, integrates backend and frontend, collaborates with engineering teamsAnalyzes data, builds models, visualizes insights, often in research or analytics teams
Industry UsageUsed in tech companies, startups, and enterprises deploying ML productsCommon in research institutions, analytics firms, and data-driven organizations

The Executive Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, combining software engineering and data science skills. In contrast, Data Scientists primarily analyze data and develop models without necessarily handling full stack development. Both roles require strong technical credentials but differ in scope and daily tasks.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Texas?

The most popular types of Full Stack Machine Learning Engineer jobs in Texas are:

What cities in Texas are hiring for Executive Full Stack Machine Learning Engineer jobs?

Cities in Texas with the most Executive Full Stack Machine Learning Engineer job openings:

Senior Full Stack Engineer

Inorsa

Austin, TX • On-site

Full-time

Re-posted 9 days ago


Job description

Job Summary:
Inorsa is an AI-first automation platform revolutionizing how mission-critical infrastructure is built, maintained, and upgraded. They are seeking a Senior Full Stack Engineer who will lead and build scalable systems, guide product architecture, and mentor junior engineers.
Responsibilities:
• Design and implement scalable systems across our full stack (Python, TypeScript, SQL)
• Lead feature and architectural planning, and write specs for major components
• Collaborate cross-functionally with engineers, product managers, and designers
• Build and maintain integrations with AI/ML models and internal data pipelines
• Improve performance, reliability, and long-term maintainability of key systems
• Review code, mentor junior developers, and guide quality standards
• Communicate progress and risks with engineering leadership
• Act as a product owner—understand user needs, propose roadmap items, and drive implementation
Qualifications:
Required:
• 6+ years of professional software engineering experience, including 2+ years as a senior
• 2+ years working in startup or high-growth environments
• Deep experience with Python
• Deep experience with TypeScript, Node.js/Nest.js (or similar frameworks)
• Deep experience with SQL and schema design
• Familiarity with cloud infrastructure (AWS/GCP)
• BS/MS in Computer Science or equivalent background
• Product-oriented thinker: Able to anticipate user needs and propose practical solutions
• Architect-level skillset: Capable of designing systems from scratch
• Mentor & collaborator: Invested in growing junior engineers and influencing team direction
• Technically flexible: Willing to learn new stacks and tools as needed
• Strong communicator: Clear in writing, discussion, and planning
• High ownership mindset: Cares deeply about code quality and product outcomes
Preferred:
• Experience deploying and maintaining machine learning models
• Previous work on internal platforms, automation, or infrastructure tools
Company:
Inorsa helps telecom, utilities and energy companies build, maintain and upgrade their infrastructure through automation and AI. Founded in 2020, the company is headquartered in Austin, USA, with a team of 11-50 employees. The company is currently Early Stage.