Sr. Technical Expert

Volkswagen Group Technology Solution

4 - 8 years

7 - 12 Lacs

pune

Posted:1 day ago| Platform:

Apply

Skills Required

compliance s3 python confluence version control sprint security automation ai automation data science devops cloud infrastructure gitlab agile performance optimization aws infrastructure as code ai model jira azure

Work Mode

Work from Office

Job Type

Full Time

Job Description

Skills/Knowledge Required:

ML Ops Foundations:
Strong experience deploying and maintaining ML pipelines in production environments.
Cloud Infrastructure:
Hands-on skills with AWS services (S3, CDK, Cognito, CloudWatch) and infrastructure-as-code practices.
DevOps & Automation:
Proficiency in GitLab CI/CD, version control, and monitoring tools like SonarQube and CloudWatch.
Scripting & Automation:
Proficient in Python and scripting for automation and tooling development.
Security & Compliance:
Understanding of secure access control using Azure AD and Cognito; familiarity with ISi assessments.
Support & Troubleshooting:
Proven experience providing third-level support and ensuring high availability of AI systems.
Documentation & Agile Delivery:
Use of Confluence and JIRA for operational tracking and documentation.

Good-to-have Skills:

Model Lifecycle Management:
Understanding of model retraining, drift detection, and deployment strategies.
Performance Tuning:
Experience optimizing system performance, cost, and reliability in a cloud-native AI setup.
Cross-Team Coordination:
Ability to liaise between data science, engineering, and IT teams to streamline ML workflows.
Advanced Monitoring & Logging:
Experience building observability pipelines and integrating monitoring across components.
Security Automation:
Exposure to automated security controls and compliance policy enforcement in ML pipelines.

Roles & Responsibilities:

AI Model Development & Maintenance:

Designing and building AI/ML models based on business needs.
Enhancing and fine-tuning existing models.
Implementing changes for performance optimization.

Deployment & Support:

Deploying AI models into production in collaboration with ML Ops.
Providing Level 3 support for AI-related issues.
Performing root cause analysis and fixing production issues.

Collaboration & Communication:

Working with global teams (Data Scientists, Software Engineers, and Business Stakeholders) for requirement understanding and solution development.
Participating in sprint planning, stand-ups, and retrospectives.

CI/CD Pipeline Ownership:
Building and maintaining CI/CD pipelines for AI/ML.
Monitoring & Optimization:

Reviewing performance metrics for AI models in production.
Making model adjustments based on monitoring feedback.

Documentation & Best Practices:

Creating and updating documentation (models, code, processes).
Maintaining knowledge base for internal use and transition.

Mock Interview

Practice Video Interview with JobPe AI

Start Python Interview

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.