Overview

We are looking for a skilled GCP (Google Cloud Platform) and Python Developer with hands-on experience in Python, cloud implementation, deployment automation, and AI/ML model operationalization. This role supports cloud infrastructure, CI/CD pipelines, and production-ready AI workloads.

Key Responsibilities

• Manage and optimize GCP, Azure and AWS cloud environments

• Implement and deploy cloud infrastructure using IaC tools

• Build and maintain CI/CD pipelines for applications and AI models

• Deploy and monitor AI/ML models using Azure ML, SageMaker, or similar platforms

• Support containerized workloads (Docker, Kubernetes)

• Ensure cloud security, IAM, and compliance best practices

• Troubleshoot cloud, deployment, and model-related issues

• Monitor model performance and ensure scalability, security, and compliance.

• Optimize resource utilization and cost efficiency for AI workloads.

• Collaborate with data scientists and engineering teams for seamless integration.

Required Skills

• 5+ years in GCP (Google Cloud Platforms)

• Proficient hands-on experience with Python

• Strong experience with CI/CD (Azure DevOps, GitHub Actions, Jenkins, CodePipeline)

• Proficiency with Terraform, CloudFormation, or ARM/Bicep

• Experience deploying AI/ML models into production

• Knowledge of Docker, Kubernetes (AKS/EKS)

• Strong experience with AWS AI/ML services (e.g., SageMaker) or Azure Machine Learning

• Proficiency in cloud administration (IAM, networking, security, resource management).

• Familiarity with model evaluation, tuning, and deployment pipelines.

• Knowledge of Python and ML frameworks (TensorFlow, PyTorch) is a plus.

Location: On-site, Bloomfield, Remote

Kaleidoscope, an Infosys Company, is an equal opportunity employer, and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability.