AI/ML Architect - Hybrid, End-to-End AI Systems

Innoventrics; Plano (TX); Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Hybrid work in-office/remote

Job summary

Innoventrics is seeking an AI/ML Architect to design end-to-end AI systems, lead model development, and align solutions with business goals in Plano, TX. The role combines hands-on modeling with guiding data scientists and engineers to deliver scalable AI products.

The ideal candidate has strong expertise in ML algorithms, DL, NLP, CV, and practical experience with TensorFlow/PyTorch, cloud ML services, data pipelines, and CI/CD for ML workflows. Hybrid in-office/remote work available.

Qualifications

• Bachelor’s or Master’s degree in computer science, Data Science, Artificial Intelligence, or related field.

Responsibilities

• Design end-to-end AI and ML system architectures, including data pipelines, model development, deployment, and monitoring.
• Collaborate with business stakeholders to translate requirements into technical AI/ML solutions.
• Lead and mentor data scientists, ML engineers, and software developers to deliver AI solutions.
• Oversee integration of AI/ML models with existing IT infrastructure and applications.
• Define best practices and standards for AI/ML model development, testing, and deployment.

Skills

AI/ML Architect

Data Scientist

Machine Learning Engineer

TensorFlow

PyTorch

Scikit-learn

SageMaker

GCP AI Platform

Azure ML

Python

R

Java

Docker

Kubernetes

CI/CD for ML

Data Engineering

Education

Bachelor’s or Master’s degree in CS/DS/AI or related field

Tools

TensorFlow

PyTorch

Scikit-learn

Docker

Kubernetes

AWS SageMaker

Google AI Platform

Azure ML

Python

R

Java

Job description

Innoventrics is seeking an AI/ML Architect to design end-to-end AI systems, lead model development, and align solutions with business goals in Plano, TX. The role combines hands-on modeling with guiding data scientists and engineers to deliver scalable AI products.

The ideal candidate has strong expertise in ML algorithms, DL, NLP, CV, and practical experience with TensorFlow/PyTorch, cloud ML services, data pipelines, and CI/CD for ML workflows. Hybrid in-office/remote work available.