AstraZeneca Pharmaceuticals LP Lead Architect - Chatbot in Chennai, India

Key Qualifications

  • Strong Java/C/C++ programming skills.

  • Familiarity with ML tools and packages like Caffe, Torch, TensorFlow, Weka, MLLib, OpenNLP, etc.

  • Practical experience building production quality and large scale deployment of applications related to natural language processing and machine learning.

  • In-depth knowledge of machine learning algorithms and ability to apply them in data driven natural language processing techniques.

  • Ability to quickly prototype ideas / solutions, perform critical analysis, and use creative approaches for solving complex problems.

  • Excellent communication skills.


  • Key responsibilities include researching, developing and implementing innovative machine learning, artificial intelligence and NLP techniques.

  • Apply knowledge of natural language processing algorithms and machine learning for development of chatbots

  • Provide technical guidance to teams on the choice of machine learning approaches appropriate for a task.

  • Clear communication and transfer of machine learning solutions to applied ML engineers, data scientists and engineers on product teams.

  • Provide architectural guidance on transitioning prototypes to high-performance production models

  • Providing feedback on tools and new features needed back to platform development teams

  • Develop core platform technologies required for NLP for various languages.

  • Work in a highly collaborative environment with teams across AZ to adopt their frameworks and technologies whenever appropriate and contribute back whenever necessary.

  • Design, develop and deploy software solutions that impact AZ’s business


  • Machine Learning, Statistics, Computer Science, Mathematics or related field with specialization in natural language processing and/or machine learning, or:

Additional Requirements

Preferred Experience/Skills:

  • Experience with tools for statistical computing (e.g. R, NumPy, SciPy).

  • Knowledge of internationalization tools and standards.

  • Experience with large datasets and hands-on experience with distributed systems is a plus.