Senior AWS Engineer

Position: Senior AWS Engineer

Years of Experience: 4-8 Years

Location: Bengaluru, Karnataka

Required, preferred, and optional MLOps tools :

Experiment Tracking & Model Management

• Weights & Biases [Preferred]
• MLflow
• TensorBoard
• DVC (Data Version Control)
• Comet.ml

AWS Services

• SageMaker [Required]
• EKS (Elastic Kubernetes Service) [Required]
• EC2 (Elastic Compute Cloud) [Required]
• S3 (Simple Storage Service) [Required]
• IAM (Identity and Access Management) [Required]
• CloudWatch [Required]
• ECR (Elastic Container Registry) [Required]
• Amazon EFS [Optional]

Distributed Training and GPU Management

• Volcano Scheduler [Preferred]
• Slurm Workload Manager
• Ray
• Apache YARN

Containerization and Orchestration

• Docker [Required]
• Kubernetes [Required]
• Helm Charts [Required]
• AWS Cloud Development Kit (CDK) [Optional]

CI/CD and Infrastructure as Code

• Jenkins [Required]
• Terraform [Required]
• AWS CloudFormation [Optional]

Programming and Scripting

• Python [Required]
• Bash scripting [Required]

ML Frameworks

• PyTorch [Preferred]
• TensorFlow