Offer summary

Qualifications:

4-6 years of experience in AI/ML model management and deployment., Strong understanding of technical architecture and development best practices., Experience with CI/CD pipelines and monitoring AI/ML models in production., Ability to lead and mentor teams while managing dynamic project requirements..

Key responsabilities:

Manage all aspects of technical development and delivery for AI models.

Plan and estimate project scope, including customer engagement and sprint deliveries.

Collaborate with data engineers to ensure stable data pipelines for AI model training.

Implement security protocols for AI models, focusing on customer data handling and compliance.

Job description

Job Description

Gen AI Engineer

4 - 6 YEARS

Any location

Looking for a workplace where people realize their full potential, are recognized for the impact they make, and enjoy the company of the peers they work with? Welcome to Zensar! Read on for more details on the role and about us.

What's this role about?

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.

Here's How You'll 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.

Advantage Zensar

We are a technology consulting and services company with 11, 800+ associates in 33 global locations. More than 130 leading enterprises depend on our expertise to be more disruptive, agile and competitive. We focus on conceptualizing, designing, engineering, marketing, and managing digital products and experiences for high-growth companies looking to disrupt through innovation and velocity.

Zensar Technologies is an Equal Employment Opportunity (EEO) and Affirmative Action Employer, encouraging diversity in the workplace. Please be assured that we will consider all qualified applicants fairly, regardless of race, creed, color, ancestry, religion, sex, national origin, citizen status, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veterans’ status.

Zensar Is a Place Where You Are Free To Express Yourself In An Environment That Values Individuality, Nurtures Development And Is Mindful Of Wellbeing. We Put Our People And Customers At The Center Of Everything That We Do. Our Core Values Include