5 hours ago
Singapore, SingaporeMid Level / Senior
Responsibilities
- Build multi-agent workflows for insurance business processes.
- Develop and maintain software pipelines for data processing, model training, and deployment.
- Train, fine-tune, and optimize neural-network models, including LLMs.
- Build production-ready AI applications, backend services, and automation components.
- Collaborate with data scientists, engineers, and business stakeholders to translate requirements into deployed solutions.
- Ensure models comply with banking regulations, data privacy standards, and ethical AI practices.
- Monitor production deployments, troubleshoot issues, and implement updates.
- Participate in code reviews, agile ceremonies, and CI/CD processes.
Requirements
- 3–12 years of professional experience in AI/ML engineering focused on software development and deployment.
- Experience building and integrating LLM, RAG, search, agent-based, and automation solutions.
- Strong software engineering experience with Python, Java, React, Next.js, and Node.js.
- Hands-on experience training and fine-tuning neural-network models for performance and scalability.
- Experience with LLMs such as GPT and BERT and agentic frameworks such as LangChain, LangGraph, or ADK.
- Familiarity with AWS, Azure, or Google Cloud for model deployment and data management.
- Understanding of supervised and unsupervised learning, evaluation metrics, and bias mitigation.
- Experience with Git and agile methodologies.
- Preferred experience in financial services, Spark, Hadoop, SQL/NoSQL databases, graph databases, knowledge graphs, Docker, Kubernetes, and MLOps.
- Publications, open-source contributions, or AI/ML certifications are preferred.
- Strong communication and problem-solving skills, including presenting technical concepts to non-technical stakeholders.
Tech Stack
Categories
About Capco
Capco is a global technology and management consultancy focused on financial services, helping banks, capital markets, insurance, and wealth firms with digital transformation, risk and compliance, and data/AI-enabled modernization. Founded in 1998 and headquartered in London, it operates as a Wipro company. Its business model centers on project-based consulting, managed services, and solution delivery across strategy, engineering, and platforms for regulated institutions.