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Ai Agent Machine Learning Engineer Jobs in Texas

Capital One

Lead Machine Learning Engineer

Plano, TX · On-site

$98K - $129K/yr

Drive AI Evaluation & Trust: Build and integrate scalable evaluation (Evals) and observability ... agent design patterns, judiciously applying these novel techniques to production systems.

Capital One

Lead Machine Learning Engineer

Plano, TX

$98K - $130K/yr

Drive AI Evaluation & Trust: Build and integrate scalable evaluation (Evals) and observability ... agent design patterns, judiciously applying these novel techniques to production systems.

Capital One

Lead Machine Learning Engineer

Plano, TX · On-site

$98K - $129K/yr

Drive AI Evaluation & Trust: Build and integrate scalable evaluation (Evals) and observability ... agent design patterns, judiciously applying these novel techniques to production systems.

Daman Inc

Machine Learning Engineer

San Antonio, TX · On-site

AI or DataBricks ML platform is desired * Experience with AWS or Azure ML stack is desired * Experience in using Python, R or Matlab is required * Industry experience as a Machine Learning Engineer

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TalentPros.AI

Staff Machine Learning Engineer

Austin, TX

$120K - $550K/yr

Our mission is to ensure that AI's benefits reach everyone. We are looking for visionary Machine Learning Engineers to join our Applied Group, where you'll transform groundbreaking research into real ...

Q2 Software, Inc.

Machine Learning Engineer

Austin, TX · On-site

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning ...

Avride

Machine Learning Engineer

Austin, TX · On-site

... Machine Learning Engineer to enhance their autonomous systems. The role involves developing and ... AI. • At least three years of experience developing neural network-based algorithms, including ...

Q2

Machine Learning Engineer

Austin, TX · Hybrid

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning ...

UNAVAILABLE

Machine Learning Engineer

Frisco, TX · On-site

As part of our AI team, you'll collaborate closely with engineering teams to deliver high-impact ... Contribute to our machine learning repositories and optimize models for performance, scalability ...

Cymertek

Machine Learning Engineer

San Antonio, TX · On-site

Machine Learning Engineer LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note ... SIMILAR CAREER TITLES Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence ...

Capital One

Lead Machine Learning Engineer

Plano, TX · On-site

$98K - $129K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The focus of this particular team is to make an impact on enterprise-wide AI coding tools. What You ...

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Machine Learning Engineer

Plano, TX • On-site

Tiger Analytics, LLC
Business Management Consulting • 201 - 500 employees
Learn more about Tiger Analytics, LLCexternal

Other

Re-posted 29 days ago

Job description

Tiger Analytics is looking for experienced Machine Learning Engineer with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.


We are looking for an experiencedAI/ML Leadwith deep expertise in designing and deploying high-performance APIs and microservices on AWS Fargate (ECS). The ideal candidate will have hands-on experience in generative AI integration,LLM API development, andAWS Bedrock services, contributing to building scalable GenAI and Agentic AI applications.

Key Responsibilities:
  • Design, build, and optimize high-performanceAPIs and microservicesusingPython (Fast API)deployed onAWS Fargate (ECS).
  • IntegrateLLM and Generative AI APIsusing providers such asAWS Bedrock,OpenAI, and others.
  • Collaborate with ML and DevOps teams to designCI/CD and MLOps pipelineswithin theAWS ecosystem.
  • Contribute to architectural decisions around scalability, latency management, and backend efficiency for AI-powered systems.
  • (Preferred) Leverage familiarity withBedrock Agent Coreservices to integrate intelligent agent capabilities.
  • Develop and maintainJSON RESTful APIs, adhering toOpenAI APIconventions and best practices.
Required Skills & Experience:
  • 5+ years of hands-on software development experience withPython.
  • Proven expertise inFastAPIandmicroservice architecture.
  • Strong understanding ofcloud-native applications,container orchestration (ECS, Docker), and AWS tools.
  • Proficiency inLLM API integrationand working withGenerative AI frameworks.
  • Experience implementing CI/CD, IaC, and ML pipelines across AWS environments.
  • Familiarity withBedrock AgentCoreor other agentic systems (nice to have).
Why Join Us:

You’ll be part of an innovative team building the next generation ofAI-driven applications, where scalability, performance, and intelligent automation converge. This is an opportunity to push boundaries inAgentic AIinfrastructure development in a supportive, fast-moving environment.

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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