AIML Developer

at  CAPGEMINI ENGINEERING

JOB SUMMARY

As a Senior AI Developer with expertise in Graph Neural Networks (GNNs) , you will lead the design, development, and implementation of AI solutions tailored for graph-structured data. Leveraging your deep understanding of GNNs and related algorithms, you will drive innovation in graph-based machine learning applications across various domains. As an integral member of the team, you will work closely with experienced data scientists, PhDs and software engineers to develop, implement, and optimize machine learning models for the telecom products. This role provides a unique opportunity for career growth and skill development in the exciting field of artificial intelligence and machine learning.

8. DOCUMENT CODE, ALGORITHMS, AND PROCESSES TO ENSURE KNOWLEDGE TRANSFER AND MAINTAINABILITY.

1. Design and develop state-of-the-art Graph Neural Network architectures to extract meaningful insights from graph-structured data. Implement graph convolutional layers, message passing algorithms, and graph embedding techniques.
2. Develop algorithms to model user-item interactions in a graph representation and make targeted recommendations based on graph embeddings.

1. BACHELOR’S DEGREE IN COMPUTER SCIENCE, DATA SCIENCE, OR A RELATED FIELD WITH 4+ YEARS OF EXPERIENCE

1. Strong programming skills in Python with knowledge of relevant libraries such as TensorFlow, PyTorch, or scikit-learn.

RESPONSIBILITIES

1. Collaborate with cross-functional teams to understand business requirements and translate them into AI/ML solutions.
2. Carry out the development and implementation of machine learning models using Python and relevant libraries/frameworks.