Galytix | Jobs | SR. MACHINE LEARNING ENGINEER | BigDataKB.com | 30-03-22

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Job Location: Gurgaon

Machine Learning / Gurgaon, India

RESPONSIBILITIES:

As a machine learning engineer, you will need to:

  • Develop a state of the art data science and ML runtime stack in a multi-cloud environment.
  • Lead on software engineering and software design for ML components.
  • Understand and use computer science fundamentals, including data structures, algorithms, computability and complexity and computer architecture.
  • Manage the infrastructure and pipelines needed to bring models and code into production.
  • Demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.
  • Build algorithms based on statistical modelling procedures and build and maintain scalable machine learning solutions in production.
  • Apply machine learning algorithms and libraries.
  • Research and implement best practices to improve the existing machine learning infrastructure.
  • Collaborate with data engineers, application programmers and data scientists.

DESIRED SKILLS:

  • Qualification in a related field such as computer science, statistics, electrical engineering, mathematics or physical sciences.
  • Self-starter with excellent communication/time management skills.
  • Strong computer programming is a must, knowledge of Python, R and Java.
  • Experience scaling machine learning on data and compute grids.
  • Proficiency with K8n, Docker, Linux and cloud compute.
  • Experience with Dask, Airflow and MLflow.
  • MLOps, CI, Git and Agile processes.

WHY YOU DO NOT WANT TO MISS THIS CAREER OPPORTUNITY?

  • Work for a Company that will revolutionise the Risk industry.
  • Work closely with senior leaders who have individually served a number of CEOs at Fortune 100 companies globally.
  • Capitalise on an unparalleled career progression opportunity.
  • Build technical development skills in an industry with a significant growth potential (both in India and globally).

Apply Here

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