System Developer - Anywhere in India/Multiple Locations - IMPLIFY TECHNOLOGIES INDIA PRIVATE LIMITED

IMPLIFY TECHNOLOGIES INDIA PRIVATE LIMITED Anywhere in India/Multiple Locations

Found in: Talent IN 2A C2 - 5 days ago

permanent Technology / Internet

Description

Job Python Development

Machine Learning Experience (Notebooks, Frameworks like Tensorflow/pytorch and libraries like pandas, numpy, etc.)
Jenkins used to continually create and test software projects, making it easier for developers and DevOps engineers to integrate changes to the project and for consumers to get a new build.
Docker experience for containerization
Any experience with AWS
AWS foundational services (EC2, IAM, AIM, Storage, SNS/SQS)
Relational Database Experience (Oracle/SQL Server)
Specifically Experience doing data transformation activities
Need Excellent communication Role will be to support 24/7 Enterprise Platforms, from Home Grown applications to Machine Learning Model
Manage and maintain hightier, missioncritical platforms ensuring 24/7 availability and performance.
Support machine learning initiatives by setting up and managing ML environments, utilizing notebooks, TensorFlow, PyTorch, and relevant libraries.
Develop, enhance, and maintain applications using Python, adhering to best practices and coding standards.
Utilize GitHub for version control, ensuring code quality and collaboration among team members
Implement continuous integration and continuous deployment (CI/CD) pipelines using Jenkins for efficient software delivery.
Containerize applications using Docker and orchestrate them efficiently with Kubernetes for scalability and resilience.
Configure and manage AWS foundational services such as EC2, IAM, AIM, storage solutions, and SNS/SQS for seamless integration and operation.
Collaborate with the data team to design, develop, and optimize data stores and databases for efficient data storage and retrieval.
Implement data transformations and ETL processes to ensure data integrity and consistency.
Implement and manage Kafka for realtime data streaming and eventdriven architectures.
Utilize Spark and Spark Streaming for largescale data processing and analytics, ensuring optimal performance and scalability.
Implement infrastructure as code (IaC) using Terraform for provisioning and managing cloud resources.
Automate infrastructure provisioning, configuration, and management tasks using Ansible for increased efficiency and consistency.

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