Virtusa Hiring! Full Time Senior Consultant in Southeast (Singapore) - Ricebowl

KEY FEATURES OF THE POSITION

Functional / Technical

 Develop, deploy, and optimize machine learning and AI solutions that address complex business

challenges.

 Create multi-agent systems and equip AI models with function/tool-calling capabilities

 Design and implement RAG systems to ground AI responses in enterprise data

 Assess and integrate AI models (e.g. LLMs) ensuring optimal performance and reliability

 Optimize agentic workflows and AI agents for production use cases

 Testing and optimizing system prompts and few-shot example to ensure accurate, consistent, and safe AI

outputs

 Performance evaluation of machine learning and AI models using appropriate metrics, evaluation sets and

techniques, and continuously iterate and improve upon them

 Collaborate with platform teams, data engineers, data scientists, and other stakeholders to integrate

machine learning solutions into existing systems and processes

 Participate in code reviews, testing, and debugging to ensure the quality and reliability of machine learning

solutions

Skills Requirements Of The Position

Competencies

 Strong problem-solving and analytical skills, with the ability to think critically and creatively about complex

challenges

 Excellent communication and collaboration skills, with the ability to work effectively with cross-functional

teams and stakeholders at all levels of the organization

 Ability to manage personal workloads effectively, to prioritize tasks, manage timelines, and deliver high-

quality results on schedule

 Continuous learning mindset, with a passion for staying up to date with the latest advancements in

machine learning and artificial intelligence

 Attention to detail and commitment to producing high-quality, reliable, and maintainable code

Education And Skills Requirements

 Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics, or a related

field

 Strong programming skills in Python with experience in machine learning libraries and deep learning

frameworks such as TensorFlow or PyTorch

 Proven experience working with Large Language Models (LLMs)

 Good understanding of AI agents & agentic workflows, LLM orchestration frameworks and reasoning

patterns

 Experience with data preprocessing, feature engineering, and model selection and evaluation techniques