AI/ML Engineer

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

Bachelor’s degree in Computer Science or related field.
Experience in finance or financial data domains.
Experience building AI chatbots and intelligent automation solutions.
Exposure to DevOps / MLOps pipelines.
Strong communication and problem-solving skills.

Skills: mlops,ai/ml,python,ai,machine learning,azure,ml,chatbots,agentic ai,llm,mlops,azure web apps,rag

AI/ML Engineer

Key Skills

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