BriefCase
BriefCase

Senior Machine Learning Engineer Job in Leokraft Technologies

Senior Machine Learning Engineer

Leokraft Technologies 4+ weeks ago
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Job Summary

Responsibilities

  • Contributing to the design of highly available, highly scalable, machine learning workflows.
    • Implementing highly scalable Natural Language Processing (NLP) and Data Science services capable of processing extremely large volumes of data (in the order of several billions of documents per day).
  • Create and implement non-standard, fresh and creative scientific ideas to improve or speed up existing technologies
  • Push the ideas to improve the quality of designed models in terms of product requirements
  • Support and justify the new ideas with a theoretical and intuitive basis
  • Collaborate with product managers and dive deeper into the usage of the research, brainstorm
    with the product team on developing new creative ideas
  • Follow up and support the development of models in an end-to-end manner: from design to production
  • Analyze, Interpret and explain outcomes of non-trivial experiments.
  • Analyze the data used in experiments, understand the subtleties of it, modify appropriately if
    necessary
  • Communicate with data and product teams, write clear and understandable research requirement documents
  • Collaborate with other scientists, exchange novel and interesting ideas, and reflect these ideas in the research process.

    • Skills Requirement

  • Strong working knowledge (at least 5 years) of Java or Python.
  • Strong working knowledge (at least 3 years) of machine learning frameworks, in particular TensorFlow and Keras.
  • Good knowledge of data analysis and machine learning, in particular around Natural Language
    Processing.
  • Good knowledge of micro-service design and implementation (e.g., SpringBoot, Gunicorn, Flask,
    Django).
  • Familiarity with infrastructure as code (e.g., Terraform, Cloud formation, Serverless), continuous integration and deployment (e.g., CircleCI, Drone.io, Jenkins), configuration management, dependency management (e.g., Maven, Gradle, PyPi), containerization technologies, e.g., Docker.
  • Experience with performance-driven design.
  • Good knowledge of Unix/Linux systems and bash/shell scripting.

    • Required Qualifications

    UG : B.Tech/B.E. in Any Specialization
    PG : Any Postgraduate
    Experience Required :

    Minimum 5 Years

    Vacancy :

    2 - 4 Hires

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