Senior AI Architect - Azure ML, NLP & MLOps Lead

SMX Services & Consulting, Inc.; United States; Remote; USD 170,000 - 230,000; Full time

Job summary

SMX Services & Consulting, Inc. seeks an experienced AI Architect to design, develop, and deploy scalable AI/ML solutions on Microsoft Azure. You will lead end-to-end projects, from architecture to production deployment and monitoring.

The role requires hands-on expertise across NLP, Deep Learning, Generative AI, PySpark, Spark, Python, and MLOps. Strong leadership and collaboration with clients and stakeholders are essential.

Qualifications

• Proven experience architecting and implementing enterprise AI/ML solutions in a senior role.
• At least one project architecting and deploying an AI solution on Microsoft Azure.
• Hands-on experience with end-to-end AI/ML model lifecycle: training, validation, production deployment, monitoring.

Responsibilities

• Design and implement scalable, secure, production-ready AI/ML architectures on Microsoft Azure.
• Collaborate with clients and stakeholders to translate business requirements into AI solutions.
• Lead end-to-end AI projects from solution design to deployment and production support.
• Develop and optimize ML, DL, NLP, and Generative AI solutions.
• Build data pipelines with Python, PySpark, Spark, and SQL.
• Choose AI algorithms, frameworks,Cloud services, and infra for deployments.
• Create prototypes, POCs, and MVPs.
• Implement MLOps with versioning, automated deployment, monitoring, retraining.

Skills

Python

PySpark

SQL

NLP

TensorFlow

Keras

PyTorch

Docker

Kubernetes

MLflow

DVC

Azure

Azure Databricks

AKS

Flask

Django

Tools

Azure

Azure Databricks

AKS

MLflow

DVC

Flask

Django

Spark

Job description

SMX Services & Consulting, Inc. seeks an experienced AI Architect to design, develop, and deploy scalable AI/ML solutions on Microsoft Azure. You will lead end-to-end projects, from architecture to production deployment and monitoring.

The role requires hands-on expertise across NLP, Deep Learning, Generative AI, PySpark, Spark, Python, and MLOps. Strong leadership and collaboration with clients and stakeholders are essential.