Machine Learning Engineer

Job description

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Role & Responsibilities –
  • Responsible for designing , implementation, optimization of end to end AI/ML usecases
  • Develop and deploy architectures through product engineering and existing model deployment tools.
  • Establish and implement engineering excellence guidelines for the team.
  • Hands-on development on Machine Learning code and collaborate with Data Scientists to optimize ML models for high throughput and low-latency use cases
  • Work in microservices architecture implementation.
  • Work with our AI platform and feature teams to help them successfully integrate the python codes and ML models
  • Build tools and automation to improve systems availability, reliability, performance, monitoring and scalability.
  • Integrate ML model training, inferencing into Data pipelines.
  • Excellent hands on coding skills on Python and basics of Pyspark.
  • Experience in Azure data lake, Blob storage, SQL or any database etc.
  • Knowledge about Azure Kubernetes Services would be added advantage
  • Good to have experience in Azure cloud
  • Good to have knowledge in creating the RESTful services in python using Flask/Django or any similar framework
  • Knowledge source code management tools (git)
  • Always ready to learn more and adopt new cutting edge technology with right value proposition.

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