Data & AI Engineer
1 day ago
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.
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