DE&A - AIML - Data Science - Conventional AI - Search

Role Overview

We are seeking a highly skilled researcher and engineer specializing in DE&A - AIML. This role focuses on Data Science, Conventional AI, and Search technologies, requiring a deep mathematical foundation to design scalable algorithms and solve complex, open-ended AI challenges.

Responsibilities

• Formulate complex problems and design scalable algorithms using linear/non-linear programming and convex optimization.
• Improve algorithm efficiency and scalability for real-world applications.
• Develop and implement models using neural networks, transformers, and generative modeling.
• Apply Graph Theory and Knowledge Graph architectures to solve data problems.
• Conduct rigorous model evaluation, validation, and performance metric analysis.
• Collaborate with cross-functional teams of researchers and engineers to translate complex ideas into technical solutions.

Requirements

• Strong foundation in mathematics including linear algebra, probability, stochastics, and optimization theory.
• Expertise in algorithm design and mathematical programming.
• Deep knowledge of machine learning, deep learning, and statistical modeling.
• Hands-on experience with transformers, diffusion models, or generative AI.
• Proficiency in software development practices, including version control and GPU accelerated computing.
• Strong analytical thinking and ability to prove algorithmic effectiveness through logic.

Skills

• PyTorch
• TensorFlow
• Neo4j
• Python
• Machine Learning