MLOPS Architect

Apptad; New Jersey; On-site; USD 70,496 - 78,329; Full time

Job summary

An IT consulting firm based in Iselin, NJ is seeking a US Talent Acquisition Specialist to drive success by implementing end-to-end MLOps and LLMOps pipelines using Azure technologies. The role encompasses documentations, technical oversight, and overseeing model governance and performance. Ideal candidates will possess experience with Azure ML, Kubernetes, and Python. The compensation ranges between $70,496 and $78,329.

Qualifications

• Familiarity with MLflow and Terraform is a plus.
• Experience with monitoring tools like Prometheus and Grafana.

Responsibilities

• Document architecture, workflows, and best practices for compliance.
• Implement MLOps and LLMOps pipelines using Azure.
• Design scalable infrastructure for ML model operations.
• Collaborate with data scientists and engineers.

Skills

Technical oversight

MLOps

LLMOps

Azure Machine Learning

Azure OpenAI

Python

Docker

Kubernetes

CI/CD pipelines

Tools

MLflow

Terraform

Prometheus

Grafana

Job description

Overview

US Talent Acquisition Specialist (Beeline Certified) | Driving Success with Team_Mukul

Responsibilities

• Document architecture, workflows, and best practices for knowledge sharing and compliance.
• Provide technical oversight & guidelines.
• Architect and implement end-to-end MLOps and LLMOps pipelines using Azure Machine Learning and Azure OpenAI.
• Design scalable infrastructure for training, deploying, and monitoring ML and LLM models in production.
• Collaborate with data scientists and engineers to streamline model development, testing, and deployment workflows.
• Manage Azure Kubernetes Service (AKS) clusters and containerized ML workloads.
• Ensure model governance, versioning, and reproducibility using tools like MLflow and Azure DevOps.
• Promote DevSecOps practices, ensuring security and compliance are embedded in the ML lifecycle.
• Monitor and troubleshoot production ML systems, ensuring high availability and performance.
• Experience with Azure Machine Learning, Azure OpenAI, Azure DevOps, and AKS.
• Proficiency in Python, Docker, Kubernetes, and CI/CD pipelines.
• Experience with LLM fine-tuning, prompt engineering, and model deployment.

Qualifications

• Familiarity with MLflow, Terraform, and monitoring tools like Prometheus/Grafana.

Senioritiy level

• Director

Employment type

• Contract

Job function

• Other

Industries

• IT Services and IT Consulting

Location and Compensation

Iselin, NJ • $70,496.00-$78,329.00