Description

Key Responsibilities

• Design and develop scalable applications and services using Go and Python.
• Develop and operationalize Machine Learning and Data Science solutions, including data preparation, model development, integration, and deployment.
• Build and deploy cloud-native applications and ML workloads on Microsoft Azure and AKS.
• Develop APIs, microservices, and backend components supporting ML and data-driven applications.
• Implement containerized solutions using Docker and Kubernetes/AKS, including deployment, scaling, monitoring, and troubleshooting.
• Collaborate with data scientists, engineers, architects, and product teams to translate technical requirements into production-ready solutions.
• Apply sound engineering practices covering source control, CI/CD, automated testing, observability, security, and performance optimization.

Critical Skills

• Machine Learning
• Data Science
• Go (Golang)
• Python
• Microsoft Azure
• Azure Kubernetes Service (AKS)
• Kubernetes, Docker, APIs/microservices, cloud-native development, and CI/CD

Key Skills

Education

Bachelor's degree