The Purpose of Your Role

This role involves working with senior stakeholders in understanding and identifying the business requirements and needs in the areas of Machine Learning and Artificial Intelligence. Scanning the fast paced external and internal environments in these areas, developing futuristic ideas that would benefit the firm and leading implementation of mathematical/AI models/algorithms/solutions to bring those ideas to life. Specific experience in AI areas like Natural Language Processing/Generation, deep learning, Reinforcement learning etc. will be an advantage.

Individual in this role is expected to work with multiple stakeholders and teams, have excellent knowledge and experience of recent developments and work in a self-directed manner in ambiguously defined need areas.

The Value You Deliver

• Improve customer experience, top line and bottom line of the business by identifying growth and efficiency opportunities
• Analyze structured and unstructured data  using data mining/statistical/machine learning/deep learning  tools, Data visualization, Digital/ Web analytics tools and techniques and story telling.
• Managing business partner / stakeholder engagement
• Participating in / leading interactions with middle and senior level management

The Skills that are Key to this role

Technical / Behavioral

• Expertise in Machine Learning (ML) and Artificial Intelligence (AI)
  • Given a business problem, the ability to translate it into an ML problem and then conceptualize and design solutions from end-to-end
  • Possess extensive knowledge of and experience in applying data mining and machine learning, deep learning and Reinforcement learning techniques
  • Expert in handling various data types and structures: structured, unstructured, voice, static versus streaming data. Extensive prior experience in integrating data
  • Expertise in Natural Language Processing (NLP) and/or Natural Language Understanding (NLU) techniques is a must
  • Ability to research and learn from the state-of-the-art in ML and implement/prototype solutions in the Fidelity context
  • Should have extensive experience with relational, NO-SQL and Graph databases
  • Interpret, criticize, and debug neural networks (not just implement and evaluate accuracy)
  • Experience with Generative neural networks such as VAEs
  • Proficiency in the entire Data Modeling life cycle –
  • Comfortable with TensorFlow/Keras/Theano/PyTorch
  • Familiarity with foundational model reasoning: bias-variance tradeoff, shrinkage/partial pooling
  • Able to independently research and apply state-of-the-art deep learning and Bayesian modeling literature
  • Communicate design decisions, tradeoffs, and findings to technical and non-technical stakeholders
• Behavioral/Soft Skills
  • Very good communication skills
  • Self motivated individual with a strong sense of purpose
  • Independent execution abilities with no hand-holding
  • Ability to work in teams
  • Must be able to mentor and guide junior team members
• Additional Skills
  • Expert in Python Programming
  • Experience in building and deploying models on the cloud (AWS SageMaker, Glue)
  • Comfort with Git source control and repo-driven development – continuous integration / continuous deployment
  • Able to organize code using functional programming concepts, experience with statically typed functional programming a plus
  • Comfortable working with data platforms independently – able to write REST clients, SQL, PySpark, as needed.
  • Exposure to containerization/Docker

The Skills that are Good To Have for this role

• Advanced theory – optimization, differential geometry, statistical physics, category theory
• Advanced functional programming languages – Haskell, Idris and exposure to declarative programming concepts