Consultant / Sr.Consultant - DevOps MLOps Engineer

Skills Experience :

DevOps

Automation and CI/CD: Implement and manage Continuous Integration/Continuous Deployment (CI/CD) pipelines to automate the software delivery process.

Collaboration: Work closely with development, QA, and operations teams to ensure smooth and efficient software releases.

Infrastructure Management: Manage and provision infrastructure using Infrastructure as Code (IaC) tools like Terraform or Ansible or Puppet or Chef.

Monitoring and Logging: Set up and maintain monitoring and logging systems to ensure system reliability and performance.

Security: Integrate security practices into the DevOps pipeline (DevSecOps) to ensure secure software deployments.

Platform Management for existing applications.

Performance Optimization: Optimize system performance and scalability by fine-tuning infrastructure and application configurations.

MLOPs

Model Deployment: Deploy machine learning models into production environments, ensuring they are scalable and reliable(experience with Azure AI Studio, Azure ML, and MLflow).

Collaboration with Data Scientists: Work closely with data scientists to understand model requirements and ensure seamless integration into production.

Automation: Automate the end-to-end machine learning pipeline, including data preprocessing, model training, and deployment.

Monitoring and Maintenance: Monitor model performance and accuracy in production and retrain models, as necessary.

Data Management: Handle data pipelines, ensuring data quality and availability for model training and inference.

Security and Compliance: Ensure that deployed models comply with security and regulatory requirements.

Infrastructure Management: Manage cloud-based AI/ML infrastructure, optimizing resource usage and cost(experience with Azure, AWS).

Requirements

Tool Experience :

AWS - Major services in AWS,S3, ECS, IAM,EKS, SageMaker, CloudFront etc.

Azure Cloud Hands-on experience with major Azure services, Azure DevOps, Azure AI Studio, Azure Machine Learning, model deployment, and related AI/ML tools.

Jenkins, GitLab etc

Good to have BitBucket pipelines

Linux - Knowledge to decode complex shell scripting, Linux patching, security & Vulnerability mitigations

Hands on experience in Python

Manage CI/CD for internal applications using Jenkins & Gitlab

Terraform - Modules and Configuration

Ansible - Basic Understanding of Ansible playbooks

Monitoring setup using tools like Prometheus Grafana CloudWatch etc

Github, Release management, Branching strategy etc

Strong knowledge of containerization, Docker , Kubernetes

Benefits

In addition to a competitive package, we promise rich opportunities for you to succeed, to shine, to exceed even your own expectations. In keeping with Fresh Gravity's challenger ethos, we have developed the5Dimensions (5D)benefitsprogram. This program recognizes the multiple dimensions within each of us and seek to provide opportunities for deep development across these dimensions. Enrich Myself; Enhance My Client; Build my Company, Nurture My Family; and Better Humanity.