Data & AI Engineer

Company Description

Cloud Atler is a global cloud marketplace that helps businesses compare, save, and transform how they gain value from cloud services. We aggregate Infrastructure as a Service (IaaS) offerings from major providers like AWS, Azure, GCP, Oracle, and top regional providers to deliver the best cloud deals, saving businesses up to 50%. Our solutions include global comparison, AI compute savings, smart scoring, geo-optimized matching, and transparency tools to reduce cloud waste. Cloud Atler's vision is to become the world’s largest cloud marketplace by 2028.

Role Description

We are looking for a passionate AI Engineer to join our team and help build our Cloud Marketplace platform with a strong focus on Infrastructure Automation and FinOps optimisation. This role is ideal for fresh graduates or early-career professionals who are eager to learn, experiment, and deliver real-world solutions in AI, cloud, and automation.

Key Responsibilities:

• Contribute to building AI-driven automation for cloud infrastructure deployment (AWS, Azure, GCP).
• Support FinOps use cases: cost monitoring, optimization, and predictive analytics.
• Assist in developing intelligent workflows for cloud marketplace offerings.
• Collaborate with senior engineers on POCs, deployments, and production-ready pipelines.
• Stay updated with latest AI/ML and cloud automation trends.

Requirements:

• 1–2 years of experience in AI/ML, cloud computing, or DevOps.
• Basic knowledge of Python, APIs, and cloud platforms (AWS/Azure/GCP).
• Familiarity with ML libraries (PyTorch, TensorFlow, scikit-learn) and automation tools (Terraform, CloudFormation, ARM templates).
• Strong problem-solving skills and eagerness to learn.

Good to have:

• Exposure to FinOps tools or cloud cost analysis.
• Knowledge of vector databases, LLMs, or AI agents.
• Hands-on projects or internships in cloud + AI space.