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Machine Learning Ai Engineer Data Scientist Jobs in Texas

AI Engineer, Data Science

Austin, TX · On-site

$113K - $136K/yr

You will design, build, and deploy sophisticated machine learning systems-particularly LLM-driven ... Data Scientist with hands-on experience and a track record of delivering impactful ML and AI ...

AI Data Scientist - Enterprise AI Description - Enterprise Operations Applied AI Organization ... This role sits at the intersection of applied research, machine learning engineering, data science ...

AI Data Scientist - Enterprise AI Description - Enterprise Operations Applied AI Organization ... This role sits at the intersection of applied research, machine learning engineering, data science ...

Data Scientist

Dallas, TX · On-site

$65 - $75/hr

Data Scientist - Integrated Operations Location: Dallas, TX (Hybrid Remote) In-Person Interview ... Strong programming skills in Python; experience with Machine Learning libraries and Generative AI ...

... Engineering, Statistics, Artificial Intelligence, Machine Learning, or a related technical field. * 5+ years of experience developing data science, machine learning, AI, or analytics solutions.

... Engineering, Statistics, Artificial Intelligence, Machine Learning, or a related technical field. * 5+ years of experience developing data science, machine learning, AI, or analytics solutions.

... Engineering, Statistics, Artificial Intelligence, Machine Learning, or a related technical field. * 5+ years of experience developing data science, machine learning, AI, or analytics solutions.

... Engineering, Statistics, Artificial Intelligence, Machine Learning, or a related technical field. * 5+ years of experience developing data science, machine learning, AI, or analytics solutions.

(AI/ML Engineer / GenAI Engineer / Data Scientist) Houston TX Overview Capgemini is seeking an ... Machine Learning, and Deep Learning concepts. * Proficiency in at least one AI-centric programming ...

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Machine Learning Ai Engineer Data Scientist information

What cities in Texas are hiring for Machine Learning Ai Engineer Data Scientist jobs?

Cities in Texas with the most Machine Learning Ai Engineer Data Scientist job openings:

Infographic showing various Machine Learning Ai Engineer Data Scientist job openings in Texas as of July 2026, with employment types broken down into 90% Full Time, 4% Part Time, 2% Temporary, and 4% Contract. Highlights an 84% In-person, and 16% Remote job distribution.

Staff Data Scientist

Spring, TX • On-site

NAVA Software Solutions
IT Services • 51 - 200 employees

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

NAVA Software solutions is looking for a Staff Data Scientist.
Details:
Staff Data Scientist
Location: Spring TX - Hybrid
Duration: Full time
Role Overview A highly skilled ML/AI Engineer or Data Scientist specializing in agentic AI possesses deep expertise in architecting and developing end-to-end intelligent solutions using AI agents, multi-agent workflows, and modern agentic platforms.
Core Technical Skills
  • Agentic AI & LLMs: Proficient in large language models (LLMs), retrieval-augmented generation (RAG), vector databases, and orchestration frameworks to design autonomous, context-aware systems that reason, plan, and act. Skilled in prompt engineering, model fine-tuning, and integrating emerging AI capabilities - such as tools, function calling, memory, and real-time inference - into robust, production-grade architectures that drive automation and intelligent workflow optimization.
  • Traditional ML: Solid foundation in classical machine learning algorithms including regression, classification, clustering, and ensemble methods (e.g., Random Forest, XGBoost). Able to select, train, and evaluate the right model for structured data problems, applying feature engineering, cross-validation, and hyperparameter tuning while understanding the trade-offs between traditional approaches and deep learning solutions.
  • DevOps & MLOps: Proficient in CI/CD pipelines, containerization (Docker, Kubernetes), and cloud platforms (Databricks, AWS, GCP, Azure). Experienced with infrastructure-as-code, automated testing, and deployment strategies such as blue-green and canary releases. Skilled in MLOps tooling - including experiment tracking (MLflow, Weights & Biases), model registries, and observability stacks - to ensure reliable, scalable, and auditable delivery of AI systems from development to production.

Experience Requirements
  • Overall Experience: 7-10 years of hands-on experience in machine learning, AI engineering, or data science, with a proven track record of delivering end-to-end AI solutions in production environments.
  • Agentic & GenAI Experience: 2-3 years of focused experience working with LLMs, agentic frameworks, and generative AI technologies, including real-world deployment of RAG pipelines or multi-agent systems.

Leadership & Collaboration
  • Team Leadership: Demonstrated experience leading and mentoring cross-functional AI/ML teams of 3-5 engineers, setting technical direction, conducting code reviews, and driving best practices across the team.
  • Stakeholder Management: Ability to communicate complex AI concepts clearly to non-technical stakeholders, align on priorities, and present findings and recommendations to senior leadership.
  • Project Ownership: Proven ability to own the full project lifecycle - from scoping and architecture through to deployment and iteration - while managing timelines, risks, and dependencies in an agile environment.

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About NAVA Software Solutions

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NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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