Applied Scientist II (AI)

TL;DR

Applied Scientist II (AI): Developing and maintaining ML and Generative AI applications for Payroll Operations and hirify.global employees with an accent on model accuracy, scientific innovation, and global scale across the payroll ecosystem. Focus on designing novel ML and LLM-based methodologies for anomaly detection, sentiment analysis, ticket classification, and automated policy extraction.

Location: Hyderabad

Company

hirify.global is a corporation delivering the best results for customers.

What you will do

• Design novel ML and LLM-based methodologies for anomaly detection, sentiment analysis, ticket classification, prescriptive analysis, intelligent virtual assistance, and automated policy extraction.
• Lead the scientific strategy for the Penny-AZA integration enabling accurate and low-latency responses to hirify.global employee payroll queries.
• Drive the ML strategy for Policy as Code extraction (PoCo), developing models that extract, interpret, and codify payroll policies into structured, executable rules.
• Contribute to tactical and strategic planning for the Sheriff team, including goals, priorities, and roadmaps for ML and GenAI capabilities.
• Mentor scientists and engineers on the team and across teams, championing best practices for the AI-Driven Development Life Cycle (AIDLC).

Requirements

• 3+ years of building models for business application experience.
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
• Experience in patents or publications at top-tier peer-reviewed conferences or journals.
• Experience programming in Java, C++, Python or related language.
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.

Nice to have

• Experience using Unix/Linux.
• Experience in professional software development.
• Experience communicating research findings and analysis in both written and spoken channels.
• Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience leading and influencing your team or organization.
• Experience in machine learning, data mining, information retrieval, statistics or natural language processing, or experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware.

Culture & Benefits

• Inclusive culture empowers hirify.globalians to deliver the best results for customers.
• Workplace accommodation or adjustment during the application and hiring process for disabilities.