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AI Engineer

1 week, 2 days ago
Hong Kong
Mid Level
AI Engineer
Software Development
Agile Apache Spark AWS Azure BERT CI/CD Docker GCP Git GPT Hadoop Hugging Face Kubernetes LLM Machine Learning MLOps NLP Python PyTorch Scikit-learn SQL TensorFlow
Apply Now
Capco

Capco

Capco is a global business and technology consultancy, part of Wipro, dedicated to the financial services and energy industries. With a focus on digital transformation, Capco delivers end-to-end data-driven solutions for banking, payments, capital mark...

Internet Software & Services
5K-10K
Founded 1998
View All Jobs 49

Description

  • Build multi-agent workflows to optimize business processes in banking and financial services.
  • 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 turn requirements into production-ready AI applications.
  • Ensure AI models comply with banking regulations, data privacy standards such as GDPR and CCPA, and ethical AI practices.
  • Conduct experiments, evaluate model performance, and iterate on solutions to improve accuracy and efficiency.
  • Monitor deployed solutions in production, troubleshoot issues, and implement updates as needed.
  • Stay current on emerging AI trends, especially in NLP and LLMs, and share knowledge within the team.
  • Participate in code reviews, agile ceremonies, and CI/CD processes.

Requirements

  • 3–12 years of professional experience in AI/ML engineering with a focus on software development and deployment.
  • Strong software engineering experience with Python and libraries such as TensorFlow, PyTorch, scikit-learn, and Hugging Face.
  • Demonstrated experience in NLP, including text classification, entity recognition, or similar projects.
  • Hands-on experience training and fine-tuning neural network models with a track record of optimizing performance and scalability.
  • Proven expertise with LLMs such as GPT and BERT, and building agentic solutions using LangChain, LangGraph, or ADK.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for model deployment and data management.
  • Solid 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.
  • Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
  • Preferred experience in financial services domains such as fraud detection, credit scoring, or customer service automation.
  • Preferred familiarity with big data tools such as Spark and Hadoop, and databases including SQL and NoSQL.
  • Preferred knowledge of graph databases and knowledge graphs.
  • Preferred understanding of DevOps practices, containerization with Docker and Kubernetes, and MLOps workflows.
  • Publications, open-source contributions, or AI/ML certifications are preferred.
  • Strong communication skills for presenting technical concepts to non-technical stakeholders are preferred.

Interested in this position?

Apply directly on the company website

Apply Now

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