C

Capco

Advises banks, insurers and energy companies

AI Engineer

Applied Machine LearningUpdated on Nov 13
Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

  • At least 3 years of professional experience in AI/ML engineering, focused on software development and deployment.
  • Experience building and integrating components for LLM, RAG, search, agent-based, and automation solutions.
  • Strong software engineering experience with Python, Java, React Next, and Node.js.
  • Hands-on experience training and fine-tuning neural network models, with a track record of optimizing for performance and scalability.
  • Expertise working with LLMs such as GPT and BERT, and building agentic solutions using frameworks such as LangChain, LangGraph, or ADK.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for model deployment and data management.
  • Understanding of machine learning concepts, including supervised and unsupervised learning, evaluation metrics, and bias mitigation.
  • Experience with version control systems such as Git and agile methodologies.
  • Applicants must have unrestricted working rights in Singapore; only Singapore citizens and permanent residents are eligible.

Responsibilities

  • Build multi-agent workflows to optimize business processes within insurance.
  • Develop and maintain software pipelines for data processing, model training, and deployment using Python-based frameworks.
  • Train, fine-tune, and optimize neural network models, including LLMs, for use cases such as risk assessment and customer query resolution.
  • Collaborate with data scientists, engineers, and business stakeholders to translate requirements into production-ready AI applications.
  • Ensure AI models adhere to banking regulations, data privacy standards such as GDPR and CCPA, and ethical AI practices.
  • Monitor deployed solutions in production, troubleshoot issues, and implement updates as needed.
  • Deliver production-grade applications, backend services, and technical components supporting data, workflow, automation, or AI-driven solutions.
  • Participate in code reviews, agile ceremonies, and CI/CD processes.

Desired Qualifications

  • Experience in financial services domains.
  • Familiarity with big data tools such as Spark and Hadoop, and SQL or NoSQL databases.
  • Knowledge of graph databases and knowledge graphs.
  • Understanding of DevOps practices, containerization with Docker and Kubernetes, and MLOps workflows.
  • Publications, open-source contributions, or certifications in AI/ML.
  • Strong communication skills for presenting technical concepts to non-technical stakeholders.

About the Company

Capco

Advises banks, insurers and energy companies

Capco advises banks, payment companies, insurers, asset managers, and energy firms on strategy, regulation, and technology, and unlike generalist consultancies it sticks to finance and energy. In 2021, Capco became the largest acquisition in the history of Indian IT services company Wipro, which bought it to expand its consulting for banks. Clients hire Capco teams to redesign operations, comply with regulations, modernize payment and trading systems, and adopt AI under strict risk controls, while its engineers build the software behind those changes. Clients pay for consultants' time or a fixed project price, and Capco staff often work on site with client teams. Capco was founded in Belgium in 1998 and is based in London.

Company size
5,001-10,000
Company stage
Acquired
Total funding
$80M
Headquarters
London, United Kingdom
Founded
1998

Recently Posted Jobs

Explore more opportunities at Capco

See more jobs