Role :
Software Developement Engineer
Location :
WORK FROM HOME/bangalore
JOB DESCRIPTION:
Using cloud platforms AWS and GCP, a cloud software development engineer can design, create, deploy, and maintain cloud-based applications and services with an emphasis on efficiency, security, and scalability.
This is a Bangalore-based hybrid role. As needed, usually one to six times per month, you will have to be on-site. We are not currently providing relocation aid and are only accepting applicants who live within commuting distance.
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Create and implement distributed cloud applications, making sure they are scalable, safe, and effective.
Using Spark/pySpark, create and optimize massive data processing pipelines that integrate with cloud-native applications.
Keep an eye on the functionality and health of cloud-based infrastructure and apps to make sure they adhere to security, scalability, and performance requirements.
To guarantee the efficient development, implementation, and operation of data-driven applications, cooperate with developers, SDETs, researchers, DevOps engineers, and system administrators.
Use dashboarding and data analytics tools to enable operational monitoring, business information, and model performance tracking.
With a thorough understanding of the whole machine learning lifecycle, which includes data collection, preprocessing, model (re)training, assessment, deployment, and feedback loops, you can contribute to the creation, implementation, and monitoring of machine learning models.
Education Required:
Any Graduation
Any stream
Fresher’s
Experienced also
skills
- knowledgeable about and skilled in Python and.NET, among other programming languages knowledge with Python and.NET unit test frameworks.
strong familiarity with cloud platforms and their offerings, especially AWS and Google Cloud Platform (GCP).
strong understanding of best practices, tools (MLFlow, etc.), and AI and ML ideas.
knowledge of production-grade settings’ operations and the entire machine learning lifecycle.
Understanding best practices for cloud security and being able to incorporate them into the architecture of infrastructure and applications.
knowledge of orchestration and containerization tools like Docker and Kubernetes.
capable of supporting changing application needs by working with both relational and non-relational databases.
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