
Ai-ml Support Role
2 weeks ago
**Job Profile Summary**:
The AI/ML Ops Engineer is responsible for managing the full lifecycle of AI and ML models, from version control to deployment, monitoring, and optimization. This role ensures that AI models used in Smart Servicing’s use cases are properly maintained, scalable, and performant, supporting real-time and batch AI services.
**Main Activities**:
- Manage the deployment and lifecycle of AI models for use cases such requiring use of **Virtual Agents **, **Chatbots **and other multimodal **GenAI **capabilities.
- Implement CI/CD pipelines for AI/ML models, ensuring they are properly versioned, tested, and deployed to production environments.
- Monitor AI/ML models in production, tracking performance metrics and adjusting models as needed to maintain accuracy and efficiency.
- Optimize AI models and pipelines to ensure they meet business KPI, improvement in productivity, and automation goals.
- Collaborate with data engineers to ensure data pipelines are stable and support ongoing AI model training and updates.
- Troubleshoot issues related to AI/ML models, ensuring high availability and reliability of models in production environments.
- Implement security and compliance protocols for AI/ML models, particularly in customer data handling and fraud detection scenarios.
**Minimum Qualifications**:
- BSc in Engineering, Computer Science, or related field.
- 3+ years of experience in AI/ML operations, with a focus on model deployment and optimization.
- Strong experience with CI/CD tools and practices, such as LangChain, Jenkins, Docker, and Kubernetes.
- Experience with cloud platforms (AWS, Azure) for AI model deployment.
- Familiarity with monitoring tools such as Prometheus, Grafana, or similar.
**Additional Qualifications**:
- Experience in managing AI models for customer service or operational use cases.
- Knowledge of regulatory requirements for AI/ML models in financial services.
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