Description

• Bachelor's plus 9+ years of experience, Master's plus 6+ years of experience
• Experience working with an object-oriented programming language (Python, Golang, Java, C/C++ etc.)
• Experience with MLOps frameworks like MLflow, Kubeflow, etc
• Proficiency in programming (Python, R, SQL)
• Ability to design and implement cloud solutions and build MLOps pipelines on cloud solutions (e.g., AWS)
• Strong understanding of DevOps principles and practices, CI/CD, etc. and tools (Git, GitHub, jFrog Artifactory, Azure DevOps, etc.)
• Experience with containerization technologies like Docker and Kubernetes
• Strong communication and collaboration skills
• Ability to help work with a team to create User Stories and Tasks out of higher-level requirements
  
   

Preferred Skills

 

• Ability to create model inference systems with advanced deployment methods that integrate with other MLOps components like MLFlow
• Knowledge of inference systems like Seldon, Kubeflow, etc
• Knowledge of deploying applications and systems in Langfuse or Kubernetes using Helm and Helmfile
• Knowledge of infrastructure orchestration using CloudFormation or Terraform
• Exposure to observability tools (such as Evidently AI)

Key Skills

Education

Bachelor's or Master's degrees