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.
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: Construct and enhance data pipelines and ETL structure to extract pricing data from hyperscaler APIs (AWS, Azure, GCP, Oracle) and regional providers. - Streamline validation, cleaning, and integration into Typesense/Elasticsearch. - Design advanced search and marketplace systems incorporating fuzzy, semantic, and NLP-driven capabilities. - Create ranking algorithms considering price, performance, region, and compliance aspects. Our Ideal Candidate: - Over 7 years of expertise in data engineering/architecture utilizing ETL frameworks like Airflow, dbt, Spark, and Kafka. - Proficient in API integrations, data validation, and schema design. - Hands-on experience with Typesense, Elasticsearch, or Solr. - Skilled in Python, Go, or Node.js programming. - Familiarity with cloud technologies: AWS/Azure/GCP, Docker, Kubernetes, Lambda. - Additional assets: Background in FinOps, cloud cost management, SaaS marketplaces, or graph databases. Good to have: Exposure to FinOps tools or cloud cost analysis. Knowledge of vector databases, LLMs, or AI agents. Hands-on projects in cloud + AI space. What We Offer Ground-floor opportunity in a fast-growing startup. Work with a team solving one of the biggest challenges in cloud adoption. Competitive salary Remote flexibility with global exposure.