Mlops Engineer

Required Technical Skills

• 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

• Strong communication and collaboration skills

• Ability to help work with a team to create User Stories and Tasks out of higher-level requirements.

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 ClodFormation or Terraform

• Exposure to observability tools (such as Evidently AI)