Pune, Maharashtra, India, India
March 17, 2023
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Role & Responsibilities –
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.
