Papigen
AI/ML Engineer
PapigenIndia2 days ago
Full-timeEngineering, Information Technology
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

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