AI/ML Lead Engineer — Generative AI, MLOps & Cloud

Vertisystem (A MOURI Tech Company); Orlando (FL); On-site; USD 150,000 - 210,000; Full time

Job summary

Vertisystem (A MOURI Tech Company) seeks an AI/ML Lead Engineer to steer the design, development, and deployment of scalable ML and AI solutions in Orlando.

You will lead architecture, ML models, generative AI efforts, MLOps, and cloud deployments on AWS/Azure/GCP, while mentoring engineers and translating business needs into robust technical outcomes. The role requires 8+ years of hands-on experience and strong Python expertise.

Qualifications

• 8+ years of software/AI/ML experience with hands-on project delivery.
• Strong Python programming and software engineering practices.
• Hands-on experience with PyTorch, TensorFlow, or Scikit-learn.
• Experience designing production-grade ML/AI systems and MLOps.

Responsibilities

• Lead the architecture, development, and implementation of end-to-end AI/ML solutions.
• Design and develop ML models for classification, prediction, NLP, CV, or other use cases.
• Lead the development and integration of Generative AI, LLM, RAG, and agent-based solutions.
• Evaluate and select ML algorithms, frameworks, tools, and technologies.
• Develop scalable ML pipelines for data prep, training, validation, deployment, and monitoring.
• Establish MLOps best practices for model lifecycle, CI/CD, automation, and production monitoring.
• Work with cloud platforms to build and deploy AI/ML solutions.
• Mentor and guide junior and senior engineers; translate business needs into tech solutions.

Skills

Python

Machine Learning

Deep Learning

Generative AI

LLM

MLOps

Cloud technologies

PyTorch

TensorFlow

Scikit-learn

Education

Bachelor's or Master's in Computer Science / AI / Data Science

Tools

AWS

Azure

GCP

Docker

Kubernetes

MLflow

Job description

Vertisystem (A MOURI Tech Company) seeks an AI/ML Lead Engineer to steer the design, development, and deployment of scalable ML and AI solutions in Orlando.

You will lead architecture, ML models, generative AI efforts, MLOps, and cloud deployments on AWS/Azure/GCP, while mentoring engineers and translating business needs into robust technical outcomes. The role requires 8+ years of hands-on experience and strong Python expertise.