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