Senior MLOps Engineer

Only Local candidate interview is face to face 

Looking for 8+ years of exp as a “Senior MLOps Engineer”

• 5+ years of 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

• Nice to Have:

• 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)