Job Title

Title: Cloud AI Engineer Grade: 10 Location: HyderabadAbout NCR Atleos: NCR Atleos (NYSE: NATL) is a global technology company creating exceptional self-service banking experiences. We offer all of the services, software and hardware solutions needed for a comprehensive self-service channel. NCR Atleos ( ) is headquartered in Atlanta, Georgia. Job Description Responsibilities: AI Engineering & Integration Design, develop, and deploy Agentic automations using LLMs,AI/ML models , across multi-cloud platforms. ImplementAI-driven automation and API integrationsfor operational efficiency and predictive maintenance. Collaborate with data scientists, product teams, and operations to integrate AI into enterprise workflows. Cloud Architecture & Multi-Cloud Strategy Implementmulti-cloud solutions(AWS, Azure, GCP) for AI workloads with interoperability in mind. DevelopInfrastructure as Code (IaC)using tools like Terraform, Azure Service Operator or Pulumi for scalable deployments. Optimizecost, performance, and resilienceacross heterogeneous components, services and cloud environments. Site Reliability Engineering FollowSRE principles : reliability, observability, and performance for AI systems and cloud deployments. ImplementCI/CD pipelines , automated testing, andmonitoring frameworksfor AI services. Driveincident response , root cause analysis, and continuous improvement for production systems. Security & Compliance Ensure AI solutions meetsecurity, compliance, and ethical standards . Implementcloud-native security controlsanddata governancefor sensitive AI workloads. Requirements: Bachelor’s or master’s degree in computer science, Data Science, or a related field. Strong proficiency in one of object-oriented programming languagessuch as Java, C#, or C++. Fluent in at least one database technology (e.g. PostgreSQL, SQL Server, or MongoDB) withexperience in designing scalable database architecture Extensive experience with Java, Python, and distributed systems design (e.g.,microservices architecture ). Strongdebugging and Integration skillswith proven ability totroubleshoot complex systemsand ensure seamless interoperability across services. 5+ years of experience working with API integration,RESTful webservices . Experiencedeveloping, deploying containerized (Kubernetes and Docker) services and cloud resources(Azure/GCP/AWS). Hands-on experience withIaC tools (Terraform, Ansible)andCI/CD pipelines . Proficient inscripting and data modeling using Pythonor R. Strong understanding of data preprocessing, feature engineering, and model evaluation techniques. Experience with large language models (LLMs) such as GPT, BERT, or similar. Experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn. Proficient with Git,Github Actions, rapid prototyping and deployment. Excellent problem-solving skills and attention to detail. Strong communication skills and ability to work in a team environment.Preferred Qualifications: Multi-Cloud Expertise:Proven experience incloud migrationandmulti-cloud strategy . AI Integration:Hands-on withLLM integrationinto enterprise applications. Certifications:Cloud (AWS/Azure/GCP) and AI/ML certifications. Familiarity withNLP ,computer vision , andconversational AI . Knowledge ofAI ethics ,compliance standards , anddata privacy regulations .