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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