Senior Azure AI / MLOps Engineer

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Azure AI / MLOps Engineer in United States.

This is an exciting opportunity for an experienced AI and cloud engineering professional to contribute to large-scale digital transformation initiatives in a collaborative, innovation-driven environment. In this role, you will design, deploy, and optimize advanced AI and MLOps solutions using Azure technologies while supporting enterprise-grade machine learning operations and automation workflows. You will work alongside cross-functional technical teams to build scalable AI infrastructure, streamline deployment pipelines, and improve operational efficiency across modern cloud ecosystems. The position offers exposure to cutting-edge technologies, complex data environments, and high-impact projects that help organizations accelerate their digital capabilities. Working in a flexible and growth-oriented setting, you will have the opportunity to shape best practices, drive technical excellence, and contribute to meaningful business outcomes. This role is ideal for someone who combines strong Azure expertise with a passion for AI innovation, automation, and scalable engineering solutions.

Accountabilities:

• Design, implement, and maintain scalable AI and MLOps solutions within Azure cloud environments to support enterprise machine learning initiatives.
• Develop and optimize CI/CD pipelines, infrastructure automation, and deployment workflows for machine learning models and AI-driven applications.
• Collaborate with data scientists, software engineers, cloud architects, and business stakeholders to operationalize AI solutions and improve model lifecycle management.
• Build and manage cloud-native infrastructure using Azure services, ensuring reliability, scalability, performance, and security across AI platforms.
• Monitor machine learning environments and production systems to ensure model performance, operational stability, and continuous improvement.
• Support containerization, orchestration, and automation efforts using modern DevOps and cloud engineering practices.
• Contribute to architecture discussions, technical documentation, and engineering best practices related to AI operations and cloud infrastructure.
• Evaluate emerging technologies, AI frameworks, and Azure services to enhance platform capabilities and improve engineering efficiency.
• Troubleshoot complex technical issues related to cloud infrastructure, AI deployment, integrations, and operational workflows.

Requirements:

• Strong experience designing and managing Azure-based AI, machine learning, and cloud infrastructure solutions.
• Proven expertise in MLOps practices including model deployment, monitoring, CI/CD automation, and machine learning lifecycle management.
• Hands-on experience with Azure services such as Azure Machine Learning, Azure DevOps, Azure Kubernetes Service (AKS), Azure Data Factory, and related cloud technologies.
• Proficiency in scripting and programming languages commonly used in AI and cloud engineering environments such as Python, Bash, or PowerShell.
• Experience with containerization and orchestration technologies including Docker and Kubernetes.
• Strong understanding of DevOps methodologies, infrastructure-as-code practices, and cloud automation frameworks.
• Familiarity with machine learning workflows, data engineering concepts, and scalable AI infrastructure design.
• Excellent analytical, troubleshooting, and problem-solving skills with the ability to manage complex technical environments.
• Strong communication and collaboration abilities, with experience working in distributed or cross-functional teams.
• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience.
• Experience working within enterprise consulting, technology services, or large-scale digital transformation environments is highly desirable.

Benefits:

• Flexible remote work opportunities within the United States.
• Competitive compensation package aligned with experience and technical expertise.
• Opportunity to work on innovative AI, cloud, and digital transformation projects across multiple industries.
• Collaborative and inclusive workplace culture focused on professional growth and continuous learning.
• Access to modern technologies, enterprise-scale environments, and advanced cloud engineering initiatives.
• Career development opportunities, training resources, and exposure to international teams and projects.
• Supportive environment that encourages innovation, technical leadership, and knowledge sharing.
• Opportunity to contribute to impactful solutions that help organizations accelerate digital agility and operational excellence.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?


Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.