
Principal AI Cloud Solutions Architect
11 hours ago
We are seeking a highly skilled and forward-thinking AI Cloud Engineer to join our team.
This role involves designing, implementing, and maintaining scalable, secure, and high-performance Ai/ML solutions on leading cloud platforms like Azure, AWS, or Google Cloud.
The ideal candidate should have strong experience in cloud-native development, MLOps, infrastructure as code (IaC), and deploying Ai/ML models at scale.
- Cloud Architecture & Engineering:
- Design, implement, and maintain cloud-based infrastructure to support Ai/ML workloads.
- Architect and deploy solutions using Azure AI, AWS SageMaker, or Google Vertex AI.
- Leverage services such as Kubernetes, Docker, Blob Storage, Serverless Functions, and API Gateways to build scalable Ai pipelines.
- Ai & ML Deployment:
- Deploy, monitor, and optimize machine learning models and large language models (LLMs) in production environments.
- Develop APIs or microservices for Ai model inference and integrate them into applications.
- Implement MLOps practices for model versioning, continuous integration, continuous delivery (CI/CD), and monitoring.
- Data Engineering & Pipeline Management:
- Design and manage data pipelines for model training and inference using tools like Apache Airflow, Azure Data Factory, or Glue.
- Ingest, transform, and process structured and unstructured data in cloud environments.
- Security & Compliance:
- Ensure data security, privacy, and compliance across cloud services and Ai applications.
- Implement role-based access control (RBAC), secure APIs, and encryption in transit and at rest.
- Automation & DevOps:
- Use IaC tools like Terraform, Bicep, or CloudFormation to automate cloud infrastructure.
- Build and manage CI/CD pipelines for model deployment using Azure DevOps, GitHub Actions, or Jenkins.
- Proficiency in one or more cloud platforms: Azure, AWS, or Google Cloud Platform
- Strong experience with:
- Python for Ai/Ml workloads
- Mlops tools: MLflow, Kubeflow, SageMaker Pipelines, Azure Ml
- Containers and orchestration: Docker, Kubernetes
- Ci/cd: Azure DevOps, GitHub Actions, GitLab Ci
- Infrastructure as Code (Iac): Terraform, Arm/Bicep, Cloudformation
- Familiarity with Ai frameworks: TensorFlow, PyTorch, Hugging Face Transformers
- Good knowledge of Api development, microservices, and Rest/GraphQL Apis
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