AI Cloud Engineer

Job Title: AI Cloud EngineerLocation: Remote / Hybrid / On-site Job Type: Full-TimeAbout the RoleRT NextGen AI is seeking a highly motivated AI Cloud Engineer to design, develop, deploy, and optimize AI/ML solutions on cloud platforms. The ideal candidate will have experience in cloud computing, machine learning, MLOps, data engineering, and AI application deployment. This role will collaborate with data scientists, software engineers, and business stakeholders to build scalable, secure, and production-ready AI solutions.Key ResponsibilitiesDesign, implement, and maintain AI/ML solutions on cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).Develop and deploy machine learning models, Generative AI applications, and AI-powered services.Build and manage MLOps pipelines for model training, testing, deployment, monitoring, and retraining.Develop cloud-native architectures using containers, Kubernetes, serverless technologies, and microservices.Integrate AI services with enterprise applications, APIs, and data platforms.Automate infrastructure deployment using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation.Implement security, governance, and compliance controls for cloud-based AI systems.Monitor system performance, optimize costs, and ensure high availability and scalability.Collaborate with cross-functional teams to translate business requirements into technical solutions.Stay current with emerging AI, cloud, and automation technologies.Required QualificationsBachelor's or Master's degree in Computer Science, Information Technology, Data Science, Engineering, or related field.3+ years of experience in Cloud Engineering, DevOps, AI Engineering, or Machine Learning Engineering.Hands-on experience with AWS, Azure, or Google Cloud Platform.Experience deploying machine learning models into production environments.Strong programming skills in Python, Java, or similar languages.Experience with Docker, Kubernetes, and CI/CD pipelines.Knowledge of cloud-native services including compute, storage, networking, and security.Experience with databases such as SQL, PostgreSQL, MongoDB, or data warehouses.Familiarity with Git, GitHub, Azure DevOps, or similar version control systems.Preferred QualificationsExperience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI Agents.Experience with TensorFlow, PyTorch, Scikit-learn, LangChain, or Hugging Face.Knowledge of MLOps platforms such as MLflow, SageMaker, Vertex AI, or Azure ML.Cloud certifications such as AWS Certified Solutions Architect, AWS Machine Learning Specialty, Azure AI Engineer Associate, or Google Professional Machine Learning Engineer.Experience with data pipelines and big data technologies.Technical SkillsCloud Platforms: AWS, Azure, GCPAI/ML: TensorFlow, PyTorch, Scikit-learn, OpenAI APIs, Hugging FaceMLOps: MLflow, Kubeflow, SageMaker, Vertex AIDevOps: Docker, Kubernetes, Jenkins, GitHub ActionsIaC: Terraform, CloudFormationDatabases: PostgreSQL, MySQL, MongoDBProgramming: Python, Java, BashMonitoring: CloudWatch, Azure Monitor, Prometheus, GrafanaPreferred CertificationsAWS Certified Solutions ArchitectAWS Machine Learning SpecialtyAzure AI Engineer AssociateAzure Solutions Architect ExpertGoogle Professional Cloud ArchitectGoogle Professional Machine Learning EngineerBenefitsCompetitive salaryFlexible work arrangementsProfessional development and certification supportCareer growth opportunitiesExposure to cutting-edge AI and cloud technologiesCollaborative and innovative work environmentRT NextGen AI is an equal opportunity employer committed to fostering innovation, diversity, and professional growth.