Dev / ML Ops

• Cloud Infrastructure Management: Design implement and maintain robust scalable and costefficient cloud solutions on AWS.
• Automation & CI/CD: Build and maintain CI/CD pipelines to automate infrastructure provisioning application deployments and system monitoring.
• Monitoring & Optimization: Develop monitoring solutions to ensure performance reliability and costeffectiveness of cloud infrastructure.
• Security: Implement cloud security best practices including IAM network configurations and encryption strategies.
• ML Ops Support: Collaborate with AI team and engineers to operationalize machine learning models ensuring smooth integration into production systems.
• Containerization & Orchestration: Use tools like Docker to containerize applications and manage clusters effectively.
• Collaboration: Partner with software developers data engineers and other stakeholders to streamline workflows and ensure infrastructure aligns with business needs.
• Documentation: Maintain comprehensive documentation of infrastructure processes and best practices for internal use and onboarding.

• Experience: 3 years of experience in DevOps or a related role with exposure to ML Ops workflows.
• Technical Skills:
• Expertise in AWS services (e.g. EC2 S3 Lambda EKS SageMaker).
• Proficiency in Infrastructure as Code (IaC) tools such as Terraform or CloudFormation.
• Handson experience with CI/CD tools like GitHub Actions or GitLab CI/CD.
• Strong skills in containerization Docker and orchestration Kubernetes.
• Proficiency in scripting languages such as Python Bash or PowerShell.
• ML Ops Knowledge: Familiarity with SageMaker Kubeflow MLflow or equivalent tools for machine learning operations.
• Monitoring Tools: Experience with observability tools like CloudWatch Prometheus Grafana or similar.
• ProblemSolving: Strong troubleshooting skills for cloud and systemrelated issues.
• Communication: Clear and effective communication skills to collaborate across technical and nontechnical teams.

• Experience managing data engineering workflows or working with platforms like Databricks.
• Knowledge of serverless architecture and eventdriven systems.
• Familiarity with cloud cost management tools and strategies.
• Exposure to advanced security compliance frameworks and practices.
• Familiarity with Ruby on Rails