We are seeking a skilled MLOps Engineer

Responsibilities

• Deploy machine learning models in development and production environments, ensuring seamless integration and reliability.
• Optimize models for scalability, stability and performance in real-world scenarios.
• Monitoring & Maintenance: Monitor training and production infrastructure, analyze model performance, identify potential issues and implement solutions to ensure continuous operation.
• Leverage MLOps platforms and tools to automate and streamline the development of machine learning models.
• Infrastructure Management: Work with containerization, orchestration, and infrastructure-as-code tools to support scalable and and efficient ML workflows.

Qualifications

• At least 2 years of experience as a MLOps Engineer.
• Strong programming skills in python.
• Hands-on experience with machine learning frameworks such as PyTorch and TrensorRT.
• Proficiency in infrastructure-as-code tools like Terraform.
• Familiarity with MLOps best practices and tools for model lifecycle management.

Advantages

• Experience working with cloud platforms such as AWS or GCP.
• Knowledge in additional MLOps tools and platforms.