Wadhwani AI | Jobs | ML Engineer | BigDataKB.com | 02-04-22

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Job Location: Mumbai

Roles and responsibilities

  • An MLE will be responsible for building robust machine learning solutions to problems of societal importance; usually under the guidance of senior ML scientists, and in collaboration with dedicated software engineers.
  • To our partners, a Wadhwani AI solution is generally a decision-making tool that requires some piece of data to engage.
  • It will be your responsibility to ensure that the information provided using that piece of data is sound.
  • This not only requires robust learned models, but pipelines over which those models can be built, tweaked, tested, and monitored.
  • The following subsections provide details from the perspective of solution design:

Early-stage of proof of concept (PoC)

  • Setup and structure code bases that support an interactive ML experimentation process, as well as quick initial deployments
  • Develop and maintain toolsets and processes for ensuring the reproducibility of results
  • Code reviews with other technical team members at various stages of the PoC
  • Develop, extend, adopt a reliable, colab-like environment for ML

Late PoC

  • This is an early to mid-stage of AI product development
  • Develop ETL pipelines. These can also be shared and/or owned by data engineers
  • Setup and maintain feature stores, databases, and data catalogs. Ensuring data veracity and lineage of on-demand pulls
  • Develop and support model health metrics

Post PoC
Responsibilities during production deployment

  • Develop and support A/B testing. Set up continuous integration and development (CI/CD) processes and pipelines for models
  • Develop and support continuous model monitoring
  • Define and publish service-level agreements (SLAs) for model serving.
  • Such agreements include model latency, throughput, and reliability
    L1/L2/L3 support for model debugging
  • Develop and support model serving environments
  • Model compression and distillation

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