Azure AI DevOpsMLOps

Job Title: Azure AI DevOps/MLOps

Location: NYC NY (3 Days Hybrid from Day 1)

Experience: 13 Years

Availability: Local Candidates Preferred Open for Contract

Description:

We are seeking a highly skilled and experienced Azure AI DevOps/MLOps professional to join our growing Infrastructure Automation Team within Public Cloud. This role will play a critical part in developing deploying and supporting cloud and hybrid applications working closely with various infrastructure teams (Security Networking Database Unix). The ideal candidate will possess advanced technical expertise in AI/ML AWS Azure and DevOps along with exceptional interpersonal skills.

Responsibilities:

• Translate the vision of business leaders into realistic technical implementations.
• Select appropriate AWS and/or Azure technologies considering deployment models and integration with existing tools.
• Collaborate with Enterprise Architecture Application Development and Business teams to engineer pilot use cases and develop production solutions.
• Gather inputs from multiple stakeholders to align technical implementation with existing and future requirements.
• Work closely with security and risk leaders to foresee and mitigate risks ensuring ethical AI implementation and compliance.
• Address potential issues such as training data poisoning AI model theft and adversarial samples.
• Build tools and capabilities that assist with data ingestion feature engineering data management and organization.
• Design implement and maintain distributed computing solutions for data processing and model training ensuring the security scalability and reliability of machine learning infrastructure.
• Understand and contribute to MLOps and LLMOps focusing on operational capabilities and infrastructure to deploy and manage machine learning models and large language models.

Preferred Qualifications:

• Bachelors degree in computer science Statistics Data Science or a related field.
• Certifications in AI/ML technologies and Cloud platforms such as AWS Certified Machine Learning Azure AI Engineer Azure Data Scientist or Azure Solutions Architect.
• 5 years of experience in Data Science Machine Learning or AI environment.
• Experience in implementing cloudbased AI/ML workloads on AWS and/or Azure.
• Experience gathering nonfunctional requirements performing designed and validated application architecture frameworks and executing functional and testing assignments.
• Experience in Generative AI/LLMs preferably experienced in delivering and productionizing.
• Experience in machine learning model development natural language processing and data analysis; Experienced in Supervised and Unsupervised learning feature engineering model training and deployment.

If you meet the qualifications and are interested in this role please send your resume to We look forward to hearing from you and potentially welcoming you to our team!