AI/ML Engineer

MACHINE LEARNING TECHNOLOGIES LLC; Plano (TX); On-site; USD 56,000 - 95,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Plano, TX is seeking an experienced AI/ML Engineer to develop and deploy scalable AI/ML models and enterprise-ready RAG applications. You will transform business requirements into production-ready solutions and collaborate with cross-functional teams.

The role emphasizes hands-on Python, ML/DL, and Generative AI expertise, with responsibilities spanning model training, evaluation, deployment, and monitoring in a modern CI/CD environment.

Qualifications

• Experience designing and deploying end-to-end AI/ML models.
• Strong knowledge of ML/DL, and production-grade ML systems.
• Familiarity with embeddings, vector databases, and RAG pipelines.

Responsibilities

• Analyze business requirements and design scalable AI/ML solutions.
• Develop, train, evaluate, and optimize ML, DL, NLP, and Generative AI models.
• Build LLM applications and RAG pipelines using embeddings, vector databases, prompt engineering, and orchestration frameworks.
• Integrate AI/ML solutions into enterprise platforms via APIs and microservices.
• Collaborate with data engineering, cloud, DevOps, QA, architecture, and business teams.
• Implement production practices including CI/CD, testing, containerization, model versioning, monitoring, and performance optimization.
• Support model troubleshooting, drift detection, observability, and continuous improvement.

Skills

Python

AI/ML development

TensorFlow/PyTorch

Generative AI/NLP

RAG

Embeddings/Vector DBs

Prompt engineering

APIs/Microservices

CI/CD/ML Ops

Model monitoring/versioning

Job description

Job Description

Job Overview

Job ID: J54769

Job Title

AI/ML Engineer

Location

Plano, TX

Duration

10 Months + Extension

Bill Rate

$69/hour (C2C)

Job Type

W-2, 1099, C2C

Client

To Be Discussed Later

Work Authorization

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Role Summary

Seeking an experienced AI/ML Engineer with strong Python expertise and hands-on experience in machine learning, deep learning, Generative AI, and LLM-based solutions. The candidate will develop and deploy scalable AI/ML models and enterprise-ready RAG applications.

Key Responsibilities

• Analyze business requirements and design scalable AI/ML solutions.
• Develop, train, evaluate, and optimize ML, deep learning, NLP, and Generative AI models.
• Build LLM applications and RAG pipelines using embeddings, vector databases, prompt engineering, and orchestration frameworks.
• Integrate AI/ML solutions into enterprise platforms through APIs and microservices.
• Collaborate with data engineering, cloud, DevOps, QA, architecture, and business teams.
• Implement production practices including CI/CD, testing, containerization, model versioning, monitoring, and performance optimization.
• Support model troubleshooting, drift detection, observability, and continuous improvement.

Required Skills

• Python and end-to-end AI/ML model development
• Machine Learning and Deep Learning
• TensorFlow and/or PyTorch
• Generative AI, LLMs, and NLP
• Retrieval-Augmented Generation (RAG)
• Embeddings, semantic search, and vector databases
• Prompt engineering, model orchestration, and evaluation
• Model deployment, APIs, microservices, and CI/CD
• Model monitoring, versioning, and optimization

Preferred Skills

• JavaScript, Node.js, and TypeScript
• Agentic AI and autonomous workflows
• GitHub Actions
• Guidewire or Property & Casualty (P&C) insurance experience
• BFSI, insurance, or high-volume enterprise application experience
• Leadership and stakeholder management; ability to work directly with US-based customers

Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.