Junior MLOps Engineer

Company Overview

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Job Summary

We are seeking a passionate and skilled Junior MLOps Engineer with 2-3 years of professional experience to join our team. In this role, you will collaborate closely with Data Scientists to migrate AI applications from Landing Zone V1 to Landing Zone V2 within the Azure Saint-Gobain private network. Your contributions will be vital for adapting and optimizing AI applications for a seamless transition.

Responsibilities

• Collaborate with Data Scientists to migrate AI applications between different landing zones.
• Adapt and refine existing Python code to meet the requirements of new applications.
• Conduct non-regression testing to ensure application stability and performance.
• Deploy applications using Azure cloud services in a secure environment.
• Utilize modern DevOps tools and practices to enhance the deployment process.
• Participate in team discussions to align on best practices and project goals.

Qualifications

• 3+ years of experience as an MLOps Engineer.
• Strong foundation in Python development for AI/ML applications.
• Hands-on experience with Azure cloud services and deploying applications in secure environments.
• Familiarity with modern DevOps tools and practices.
• Excellent problem-solving skills and attention to detail.
• Ability to work collaboratively in a team-oriented environment.
• Strong verbal and written communication skills.
• A degree in Computer Science, Engineering, or related field is preferred.

Preferred Skills

• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
• Knowledge of CI/CD pipelines and automation tools.
• Familiarity with containerization technologies (e.g., Docker, Kubernetes).
• Understanding of security best practices in cloud computing.

Experience

• 2-3 years of professional experience in an MLOps role or related position.

Environment

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Salary

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Growth Opportunities

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Benefits

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