Engineer - AI/ML

Actively Reviewing the Applications

Univest

India, Haryana, Gurugram Full-Time On-site

Posted 2 days ago • Apply by June 7, 2026

Job Description

About The Job

Role Overview :

Univest is looking for a highly driven AI/ML Engineer to build intelligent systems that power next-generation financial products. This role requires a strong problem-solving mindset, deep technical curiosity, and the ability to turn data into real product capabilities.

You will work on machine learning models, data pipelines, and AI-driven features that improve product intelligence, automation, and user experience. The role demands someone who is hands-on, self-driven, and capable of taking ideas from experimentation to production.

Key Responsibilities

Model Development Experimentation :

Design, develop, and deploy machine learning models for real-world product use cases.
Work on predictive models, recommendation systems, classification, and behavioral analytics.
Conduct rapid experimentation, model evaluation, and iterative improvement.

AI-Powered Product Features

Build intelligent systems that enhance user insights, automation, and personalization.
Translate product requirements into ML-driven solutions and scalable algorithms.
Collaborate with product and engineering teams to integrate AI capabilities into core platform features.

Data Engineering Model Deployment

Work with large datasets to build clean, scalable training pipelines.
Implement model deployment and monitoring workflows in production environments.
Optimize models for performance, accuracy, and scalability.

Research Continuous Learning

Stay updated with the latest developments in AI, ML, and generative AI.
Evaluate new techniques, frameworks, and models that can improve product capabilities.
Contribute innovative ideas that drive data-driven product intelligence.

Cross-Functional Collaboration

Work closely with engineering, product, and data teams to define ML use cases.
Collaborate on data architecture, feature engineering, and experimentation frameworks.
Ensure seamless integration of ML models into the product ecosystem.

Required Qualifications