AI/ML & MLOps Engineer: GenAI Infra & Deployment

Harvey Nash; Houston (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Harvey Nash Houston is seeking an AI/ML & MLOps Engineer to design, implement, and operate scalable ML systems across cloud-native services, REST APIs, and microservices. The role emphasizes hands-on Python development, containerization, CI/CD workflows, and robust model deployment.

You will prototype quickly with AI tools, evaluate outputs, monitor models in production, and collaborate with teams to meet regulatory and security expectations in fintech-informed contexts.

Qualifications

• 3+ years in software/ML/DevOps or data engineering.
• Strong Python, Docker, Git, CI/CD, and REST API/microservices.
• Hands-on cloud infrastructure and model deployment/monitoring.
• Experience with GenAI, RAG, prompts, vector databases, and LangChain/LlamaIndex/MLflow.

Skills

Python

Docker

Git

CI/CD

REST APIs

AI prototyping

Education

Bachelor's degree in CS/Data Science or equivalent

Tools

LangChain

LlamaIndex

MLflow

Kubernetes

Job description

Harvey Nash Houston is seeking an AI/ML & MLOps Engineer to design, implement, and operate scalable ML systems across cloud-native services, REST APIs, and microservices. The role emphasizes hands-on Python development, containerization, CI/CD workflows, and robust model deployment.

You will prototype quickly with AI tools, evaluate outputs, monitor models in production, and collaborate with teams to meet regulatory and security expectations in fintech-informed contexts.