Description

You will assist the team in foundational cloud services engineering tasks.

Responsibilities

• Assist in designing and implementing basic CI/CD pipelines using tools like GitLab CI or Jenkins.
• Develop and containerize ML models as microservices or APIs using Python frameworks (Flask/FastAPI).
• Configure dashboards and alerts within observability tools (Prometheus, Grafana) to track system metrics.
• Participate in Root Cause Analysis (RCA) to investigate performance bottlenecks.
• Support workload management using Docker and learn basic administration tasks in Kubernetes on AWS.

Required Skills

• Strong proficiency in Python, with familiarity with NumPy.
• Working experience with Git and GitHub/GitLab.
• Familiarity with Docker and containerization concepts.
• Exposure to CI/CD pipelines and infrastructure-as-code concepts.
• Basic understanding of Machine Learning concepts and model lifecycles.
• Coursework or project experience using basic cloud services (e.g., AWS).
• Knowledge of monitoring principles or exposure to APM/Observability tools like Dynatrace.
• Bachelor's or Master's degree in a technical field.

Key Skills

Education

Bachelor's or Master's degrees