ML Architect

Position: ML Architect
Experience: 12-15 years
Location: Bangalore / Trivandrum

Our client is looking for an innovator with 12-15 years of experience proven technical
leadership in design, implementation and support of large-scale systems and solutions
that are highly available, reliable, flexible, and scalable.

Roles and Responsibilities

  • Lead multiple AI/ML initiatives.
  • Given a customer problem statement, estimate solution feasibility and potential approaches based on available data
  • Quickly prototype solutions and build models to test feasibility of solution approach
  • Build ML models, train and test and optimize model performance
  • Collaborate with product development teams to industrialize machine learning models and solutions.
  • Engage with external ecosystem (academia, technology leaders, open source etc.) to develop the skills and technology portfolio.
  • Manage communication, planning, collaboration, and feedback loops with business stakeholders.
  • Research and implement novel ML and DL approaches.
  • Lead the data science teams and ensure alignment with product and business strategy.
  • The problem statement covers aspects Computer Vision, Document Extraction,
  • Building Knowledge Graphs & AML.

Minimum Requirements

  • Strong background in Statistics and Machine Learning.
  • Ability to perform independent research across various domains of analytics.
  • Experience with developing advanced data science models and computational algorithm
  • Hands on experience with advanced Data/Text Mining/NLP/Computer Visio
    Strong Programming skills in Python
  • Hands-on experience in designing and building AI models using Deep Neural
  • Network using any of frameworks such as Keras/TensorFlow/ Pytorch.
  • Knowledge of building explainable models (XAI)
  • Knowledge of ML Ops concepts
  • Experience with the development of REST APIs and HTTP method
  • Experience with relational (MySQL) and non-relational / document databases (MongoDB/Couch DB.)
  • Experience of working with Cloud Providers like Microsoft Azure/AWS

Preferred Qualifications

  • Domain experience in Banking/Finance
  • Conceptual understanding graph database.
  • Fundamental concepts in the field of information retrieval, graph mining,
  • knowledge representation – ontologies etc.
  • Demonstrated participation in contests like Kaggle is a plus

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