Specialist - Data Sciences

Job Summary

Seeking a Specialist with 5 to 7 years of experience in Azure DevOps and expertise in MLOpsAzure to enhance secure and efficient deployment pipelines

Job Description

Design implement and manage Azure DevOps pipelines to support MLOps workflows Integrate security best practices within DevOps processes focusing on Application Security frameworks and Secure SDLC Utilize knowledge of Python in cybersecurity contexts to support AI safety and security initiatives Collaborate with crossfunctional teams to embed DevSecOps principles in continuous integration and delivery Analyze and review Application Security Architecture to identify vulnerabilities and recommend improvements Support AI safety and security measures in machine learning model deployment and monitoring Drive automation and optimization of deployment processes in Azure cloud environments

Roles and Responsibilities

Lead the development and maintenance of secure and scalable Azure DevOps pipelines aligned with organizational goals

Implement threat modeling and risk assessment techniques to strengthen application security

Collaborate with cybersecurity teams to integrate AI safety protocols into DevOps workflows

Advocate and enforce Secure SDLC practices across development teams

Conduct Application Security Architecture Reviews and provide actionable feedback

Mentor junior team members on Azure DevOps best practices and security frameworks

Stay updated with emerging trends in MLOps cybersecurity and cloud technologies to continuously improve processes