Gen AI Engineer

Zensar

4 - 6 years

14 - 19 Lacs

bengaluru

Posted:5 days ago| Platform:

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Skills Required

design engineering automation technology consulting agile conceptualization technical architecture management customer engagement fraud detection technical support

Work Mode

Work from Office

Job Type

Full Time

Job Description

As a MERN STACK LEAD, you will be creating and delivering high-performing digital platforms, including mobile and web solutions. You ll have the opportunity to design new systems or re-design current applications.

Heres how youll contribute:

Managing and owning all aspects of technical development and delivery
Understanding requirements and writing technical architecture documents
Ensuring the code reviews and development best practices / processes to be followed
Planning end-to-end technical scope of the project and customer engagement areas, including planning sprint and deliveries
Estimating efforts, identifying risks, and providing technical support whenever needed
Demonstrating the ability to multitask and re-prioritizing responsibilities based on dynamic requirements
Leading and mentoring small-sized teams

Skills required to contribute:

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.

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