AI/ML Architect

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

Must-Haves

Required Skills and Qualifications: Bachelor’s or master s degree in computer science, Data Science, Artificial Intelligence, or related field. Proven experience as an AI/ML Architect, Data Scientist, or Machine Learning Engineer. Strong expertise in machine learning algorithms, deep learning, natural language processing, and computer vision. Proficiency with AI/ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, or similar. Experience with cloud AI/ML services (AWS SageMaker, Google AI Platform, Azure ML). Knowledge of data engineering, big data technologies, and data pipeline design. Strong programming skills in Python, R, or Java. Familiarity with containerization (Docker, Kubernetes) and CI/CD for ML workflows. Role Location: 3 days onsite (Plano, TX)

An AI/ML Architect designs and leads the development of artificial intelligence and machine learning solutions that align with business objectives. This role involves creating scalable AI/ML architectures, selecting appropriate algorithms and technologies, and guiding data science and engineering teams to deliver impactful AI-driven products.

The Opportunity

• Hybrid: In office/remote
• Design end-to-end AI and machine learning system architectures, including data pipelines, model development, deployment, and monitoring.
• Collaborate with business stakeholders to understand requirements and translate them into technical AI/ML solutions.
• Evaluate and select appropriate AI/ML frameworks, tools, and platforms.
• Define best practices and standards for AI/ML model development, testing, and deployment.
• Lead and mentor data scientists, ML engineers, and software developers in implementing AI solutions.
• Ensure AI/ML systems are scalable, secure, and maintainable.
• Oversee integration of AI/ML models with existing IT infrastructure and applications.

This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.

What You Need

• Required Skills and Qualifications:
• Bachelor’s or master s degree in computer science, Data Science, Artificial Intelligence, or related field.
• Proven experience as an AI/ML Architect, Data Scientist, or Machine Learning Engineer.
• Strong expertise in machine learning algorithms, deep learning, natural language processing, and computer vision.
• Proficiency with AI/ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, or similar.
• Experience with cloud AI/ML services (AWS SageMaker, Google AI Platform, Azure ML).
• Knowledge of data engineering, big data technologies, and data pipeline design.
• Strong programming skills in Python, R, or Java.
• Familiarity with containerization (Docker, Kubernetes) and CI/CD for ML workflows.

Skills: agentic ai,machine learning,big data,data science