Description

You will design, build, and maintain robust machine learning pipelines and infrastructure in Washington D.C.

Responsibilities

• Develop and optimize ML pipelines using MLflow, Kubeflow, TFX, and Metaflow.
• Implement infrastructure as code with Terraform and AWS Cloudformation for scalable deployment.
• Automate CI/CD workflows using Jenkins, GitLab CI/CD, CircleCI, and GitHub Actions.
• Monitor system health and performance using Prometheus, Grafana, ELK Stack, and Fluentd.
• Manage version control and collaboration across Git, GitHub, GitLab, and Bitbucket.

Required Skills

• 5+ years of experience in Machine Learning Engineering or MLOps.
• Advanced proficiency in Python for automation, scripting, and pipeline development.
• Hands-on experience with LangChain and LangGraph.
• Deep understanding of DevOps tools including Ansible and cloud deployment strategies.
• Strong command of version control systems (Git, GitHub, GitLab, Bitbucket).
• Ability to work independently on complex infrastructure challenges.

Preferred Skills

• Experience with Kubernetes orchestration beyond basic container management.
• Background in building custom monitoring dashboards for ML model drift.

Key Skills

Education

Any Gradute