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Hire Train Deploy Developer Jobs in Texas (NOW HIRING)

This role will work hands-on with advanced LLMs and modern ML frameworks to design, train, deploy ... Data Engineering & Feature Development * Collect, clean, and analyze structured and unstructured ...

DevOps Manager

Dallas, TX · On-site

$152K - $210K/yr

Hire and grow DevOps talent. * Lead, plan, build, configure, test, and deploy DevOps solutions. * Collaborate with internal and external customers to manage o9 platform deployment, maintenance and ...

DevOps Manager

Dallas, TX

$152K - $210K/yr

Hire and grow DevOps talent. * Lead, plan, build, configure, test, and deploy DevOps solutions. * Collaborate with internal and external customers to manage o9 platform deployment, maintenance and ...

Hire and grow DevOps talent. * Lead, plan, build, configure, test, and deploy DevOps solutions. * Collaborate with internal and external customers to manage o9 platform deployment, maintenance and ...

Senior DevOps Manager

Dallas, TX · On-site

$169K - $233K/yr

Hire and grow DevOps talent. * Lead, plan, build, configure, test, and deploy DevOps solutions. * Collaborate with internal and external customers to manage o9 platform deployment, maintenance and ...

... • Train, deploy, and optimize GAI and LLM algorithms and models to improve product ... engineering, and data teams to identify opportunities for applying generative AI and LLMs to solve ...

Train, deploy, and optimize GAI and LLM algorithms and models to improve product recommendations, search relevance, personalization, and customer interaction * Data Engineering: Design, build, and ...

Account Solutions Architect - Engaged

Austin, TX · On-site

$62.50 - $82.25/hr

... they build, train, deploy, and scale their workflows. Greenfield is where we meet the next ... We hire technical, AI Solution Architects who want to operate the full stack, own customer ...

Account Solutions Architect - Engaged

Austin, TX · On-site

$62.50 - $82.25/hr

... they build, train, deploy, and scale their workflows. Greenfield is where we meet the next ... We hire technical, AI Solution Architects who want to operate the full stack, own customer ...

Account Solutions Architect - Engaged

Austin, TX · On-site

$62.50 - $82.25/hr

... they build, train, deploy, and scale their workflows. Greenfield is where we meet the next ... We hire technical, AI Solution Architects who want to operate the full stack, own customer ...

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Hire Train Deploy Developer information

What is a Hire Train Deploy Developer?

Hire Train Deploy Developers are professionals who are recruited and trained by specialized companies to meet specific client requirements before being placed on client projects. This model allows organizations to quickly fill skill gaps with candidates who have received tailored technical and soft skills training. The process ensures that developers are ready to contribute effectively from day one, reducing onboarding time and increasing project success rates.

What can I expect from the training phase as a Hire Train Deploy Developer, and how does it prepare me for client projects?

As a Hire Train Deploy Developer, the training phase is an intensive period where you’ll gain hands-on experience with the technologies and methodologies commonly used by client organizations. This training is designed to bridge any skill gaps, ensuring you're well-versed in relevant frameworks, tools, and best practices. You’ll often work on simulated client scenarios and collaborate with other trainees, fostering teamwork and communication skills that are vital on real projects. This approach not only boosts your technical proficiency but also acclimates you to the types of challenges and workflows you’ll encounter once deployed to a client site.

What are the key skills and qualifications needed to thrive as a Hire Train Deploy Developer, and why are they important?

To thrive as a Hire Train Deploy Developer, you need a strong grasp of programming fundamentals, problem-solving abilities, and typically a relevant degree or equivalent coding bootcamp experience. Familiarity with industry-standard tools such as Git, cloud platforms, and agile project management systems, as well as any required certifications, is often expected. Effective communication, adaptability, and a willingness to learn are crucial soft skills, especially when transitioning between client projects or technologies. These skills ensure that you can quickly integrate into client teams, deliver value, and continuously upskill in a dynamic deployment model.

What is the difference between Hire Train Deploy Developer vs Software Developer?

AspectHire Train Deploy DeveloperSoftware Developer
CredentialsTypically requires basic programming knowledge, often with certifications in specific technologiesUsually holds a degree in Computer Science or related field, with strong coding skills
Work EnvironmentOften in client sites or training centers, focusing on skill development and deploymentPrimarily in office or remote settings, developing software solutions
Employer & Industry UsageUsed by staffing agencies and companies for rapid deployment of trained developersHired directly by companies for ongoing software development projects

In summary, a Hire Train Deploy Developer is trained and prepared for immediate deployment in specific projects, often with a focus on skill readiness, while a Software Developer typically has a broader, formal education background and works on developing software solutions over longer periods.

What cities in Texas are hiring for Hire Train Deploy Developer jobs?

Cities in Texas with the most Hire Train Deploy Developer job openings:

Infographic showing various Hire Train Deploy Developer job openings in Texas as of August 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 66% In-person, and 34% Remote job distribution.

Principal Scientist, Data

Augment

Houston, TX • On-site

$80 - $83/hr

Full-time

Re-posted 28 days ago


Job description

Job Title: Data Scientist – AI/ML Focus
Worksite: Onsite Monday–Thursday (Mandatory) – Houston, TX

Must-Have Technologies: Snowflake, SQL, Palantir (or similar data decision/operational AI platform)

Position Summary

We are seeking a highly curious, proactive, and innovative Data Scientist with deep experience in AI/ML, NLP, and Large Language Models (LLMs). The ideal candidate will excel at blending complex datasets, building predictive and statistical models, and delivering AI-driven solutions that create measurable business impact.

This role will work hands-on with advanced LLMs and modern ML frameworks to design, train, deploy, and optimize AI applications within a real-world operational environment. You will partner closely with business and technical stakeholders to translate data science into clear, actionable strategies.

Key Responsibilities

AI/ML Model Development

  • Design, train, fine-tune, and evaluate machine learning and deep learning models—including LLMs—for predictive analytics and automated decision-making.

Data Engineering & Feature Development

  • Collect, clean, and analyze structured and unstructured data; engineer features to improve model accuracy and efficiency.

NLP & Agent-Based AI Applications

  • Build LLM-powered solutions using prompt engineering, fine-tuning, inference optimization, and agent-based architectures.

Business Decision Support

  • Convert statistical and ML findings into practical insights and recommendations that support strategic decisions.

End-to-End Deployment (MLOps)

  • Implement, deploy, and monitor ML models using best practices for reliability, scalability, and performance.

Data Storytelling & Communication

  • Create dashboards, visualizations, and presentations that clearly communicate insights to non-technical stakeholders.

Required Skills & Experience

Technical Expertise

  • Hands-on experience with AI/ML, NLP, LLM applications (GPT/BERT/LangChain), predictive modeling, and deep learning.
  • Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face).
  • Advanced SQL skills and experience integrating data from multiple sources.
  • Experience with SnowflakeAWS (SageMaker, S3, Redshift), and automated ML pipelines.
  • Strong understanding of version control (Git) and collaborative development.

Soft Skills

  • Highly curious, innovative, and growth-oriented mindset.
  • Ability to drive projects independently from ideation to deployment.
  • Strong business acumen with the ability to align technical output to business needs.
  • Excellent communication skills with the ability to simplify technical concepts.

Preferred Qualifications

  • Master’s or Ph.D. in Computer Science, Data Science, Mathematics, Statistics, Engineering, or another quantitative discipline.
  • Experience using BI or model-monitoring tools (Power BI, Dash, Streamlit).
  • Familiarity with reinforcement learning or agent-based AI systems.

Why This Role?

This opportunity is ideal for a Data Scientist who wants to work at the forefront of AI innovation—building advanced LLM-based solutions, deploying operational ML models, and driving real business impact within a forward-thinking organization.

Job Type: Full-time

Work Location: In person