What you'll do:

 Design, architect, implement and help operate the Machine Learning platform

by

o Develop and gain insight in the application architecture.

o Distill an abstract architecture into concrete design and influence the

implementation.

o Observing inefficiencies, both in cost and reliability, of existing

processes

o Researching alternative solutions using custom or existing open-source

technologies

o Designing replacement processes and components

o Implementing processes, extending and configuring open-source

components

 Work with the ML DevOps and Support teams to operate the ML platform by

o Helping implement DevOps best practices of in-house and open-

source components

o Ensuring smooth operation via monitoring and alerting facilities

 Work with the ML data scientists to

o Apply the appropriate software engineering patterns to build robust and

scalable systems for both model building and serving.

Technical Environment:

Software: Python 3.*

Application Architecture:



Scalable, Resilient, Reactive, event-driven, secure multi-

tenant Microservices architecture

Cloud: Google Cloud

Frameworks/Others: Kubernetes, Kafka, Pub/Sub, Big Query, Apache Beam,

DataFlow, KubeFlow, Keras, TensorFlow, Flask.

What we are looking for:

 Bachelor’s Degree in Computer Science is required, Masters is preferred

 6+ years of software engineering experience building production software

 Good working knowledge of Kubernetes and other virtualized execution

technologies

 2+ years of experience working on at least one cloud workplace, GCP

preferred

 3+ years of Python programming experience with excellent understanding of

Object-Oriented Design & Patterns

 2+ years of experience in building REST APIs

 2+ Working Experience on Kafka and its integration with Cloud Services.

📌 Maiora - Data Scientist (Bengaluru)
🏢 NextHire
📍 Bengaluru