Pune, Maharashtra, India
131 Days agoSkills 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.
Job Function: Other
Job Type: Full Time
Workplace Type: Not Specified
Experience Level: Mid-Senior level
Salary: Competitive & Based on Experience
Experience: 0 - 0 yrs
Company about us: Why Choose Us?
At Fresh Gravity, we are passionate about data and its potential to drive business success. Our team of experienced consultants and data scientists are dedicated to providing innovative, cutting-edge solutions that help our clients achieve their goals. We are committed to staying ahead of the curve when...
Company Name: Fresh Gravity
Recruiting People: HR Department
Website: https://www.freshgravity.com
Headquarter: Flower Mound, Texas, USA 75028
Industry: Technology, Information and Internet
Company Size: 201-500 Employees
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