AI/ML Engineer

Actively Reviewing the Applications

Papigen

India Full-Time On-site

Posted 3 weeks ago • Apply by June 1, 2026

Job Description

Role Summary

We are seeking an experienced AI/ML Engineer with strong hands-on experience in machine learning model development, Python programming, and AI-driven automation solutions. The role focuses on building, deploying, and integrating scalable AI/ML solutions using modern frameworks and Microsoft Azure AI/ML services, preferably within financial services environments.

The candidate will work closely with technical leads, product owners, and cross-functional teams to deliver reliable, scalable, and production-ready AI solutions.

Scope of Work & Responsibilities AI/ML Model Development

Design, develop, train, test, and deploy machine learning models.
Implement AI-based automation solutions for business use cases.
Apply best practices to ensure model accuracy, scalability, and performance.

Data Processing & Feature Engineering

Work with structured and unstructured data.
Perform data normalization, cleansing, validation, and feature engineering.
Ensure data quality and consistency across ML pipelines.

Application & Service Development

Build scalable AI/ML applications using Python.
Develop RESTful APIs and reusable Python-based libraries.
Support integration of AI models into enterprise applications.

AI/ML Frameworks & Cloud Services

Use industry-standard frameworks such as TensorFlow, PyTorch, and Scikit-learn.
Leverage Azure AI/ML services, including:

Cognitive Services (Language, Form Recognizer)
Bot Framework
Azure OpenAI

Support cloud-based deployment and inference pipelines.

Collaboration & Continuous Improvement

Work in Agile/Scrum teams, collaborating with business and technical stakeholders.
Participate in design discussions, sprint planning, and reviews.
Stay current with emerging AI/ML technologies and recommend improvements.

Required Skills & Experience Core Requirements

4+ years of hands-on experience as an AI/ML Engineer.
Strong proficiency in Python and Python-based application development.
Solid understanding of:

Machine learning algorithms
NLP concepts
Model evaluation techniques

Hands-on experience with TensorFlow, PyTorch, Scikit-learn, or similar frameworks.
Experience in data preprocessing, cleansing, and validation.
Familiarity with cloud-based AI/ML services (Azure preferred).

Preferred Qualifications