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.
Requirements: 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.
This position is open to all candidates.