AI Cloud Engineer / Machine Learning Engineer - Lead

• Lead the architecture and design of AI/ML solutions, from concept to deployment.
• Perform data cleaning, chunking, and pipeline creation for large datasets.
• Design and deploy AWS cloud computing strategy encompassing architecture design, deployment, security, high availability, disaster recovery, and related features.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.

• Proficiency in programming languages such as Python.
• Knowledge of AWS cloud computing platforms and related AI/ML services.
• Experience with MLOps tools and practices for model deployment and monitoring.
• Understanding data engineering principles and tools for handling large datasets.
• Knowledge of relevant AI/ML algorithms and techniques (e.g., CNNs, RNNs, Transformers)
• Cloud platforms (AWS, Azure, GCP, etc.) • Infrastructure as Code (Terraform, CloudFormation, ARM Templates)
• Containerization and orchestration (Docker, Kubernetes)
• Security (IAM, access control, encryption, security auditing)
• Basic DevOps practices and tools (CI/CD)