Artificial Intelligence/Machine Learning Engineer - Data Modeling

Description :

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 :

- 2 - 3 years of experience in AI / Machine Learning development.

- Strong programming skills in Java/Python.

- Solid understanding of machine learning algorithms and statistical modeling.

- Hands-on experience with ML libraries such as TensorFlow, PyTorch, or Scikit-learn.

- Experience with data processing and feature engineering.

- Strong problem-solving and analytical thinking skills.

- Ability to build and deploy ML models in real-world applications.

Preferred Qualifications :

- Degree from Tier-1 institutes (IIT, IIIT, BITS, NIT, or equivalent) preferred.

- Experience working with large-scale datasets and production ML systems.

- Exposure to LLMs, NLP, or recommendation systems.

- Experience with cloud environments (AWS or GCP).

- Familiarity with MLOps practices and model lifecycle management.