Job Description
Role Overview We are seeking a skilled Machine Learning Engineer to join one of our agile development teams in our ML & AI ART. You will play a key part in designing, building, and maintaining robust, scalable AI solutions within a DevOps environment, contributing across the entire lifecycle — from concept to deployment. Key Responsibilities Develop, deploy, and optimize machine learning and AI solutions addressing 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 Test and optimize system prompts and few-shot examples for accurate, consistent, and safe AI outputs Collaborate with platform teams, data engineers, and data scientists to integrate ML solutions Requirements Bachelor’s or Master’s in Data Science, Computer Science, Mathematics, Statistics, or related field Strong Python programming skills with 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, model selection and evaluation Minimum 3–6 years of relevant experience in machine learning, data science, or related field Personal Skills Strong problem-solving and analytical skills with critical and creative thinking Excellent communication and collaboration skills across cross-functional teams Continuous learning mindset with passion for AI/ML advancements Attention to detail and commitment to high-quality, maintainable code About MARVES Consulting MARVES Consulting is a Swiss-based consulting firm with a fast growing presence in Singapore, specialized in Wealth Technologies. We are dedicated to helping clients navigate complex business challenges through strategic thinking and innovative solutions
