We are seeking a skilled MLOps & Agentic Platform Engineer. This role involves managing model registries, developing continuous training loops, and implementing A/B testing infrastructure. The ideal candidate will have a strong DevOps/MLOps background and be adept at deploying scalable microservices and building observability dashboards.

Responsibilities:

• Manage model registries, continuous training loops, and A/B testing infrastructure.
• Deploy agents as scalable microservices on Kubernetes.
• Build observability dashboards to track token usage, latency, and agent reasoning paths.

Qualifications:

• Strong DevOps/MLOps background (Kubernetes, Docker, Terraform).
• Experience with MLflow, Weights & Biases, or LangSmith.
• Knowledge of building scalable microservice architectures.

Capco

Capco is a leading global technology and management consultancy that excels in driving digital transformation within the financial services and insurance sectors. With an unwavering commitment to delivering practical solutions, we empower our clients to navigate the complexities of today's fast-paced market. Our integrated services span across major financial hubs worldwide, ensuring that we are always close to our clients and their needs.

At Capco, we possess not only the expertise but also the vision and passion necessary to lead transformative change. As we embark on an exciting growth journey, this is the perfect moment to join our team. We are expanding geographically, increasing our workforce, and poised to disrupt the consulting landscape across APAC with our entrepreneurial spirit and agile methodologies.

About the Role

We are thrilled to introduce an opportunity for a talented AI Engineer to join our Hong Kong team. This role is designed for a technology innovator who thrives on solving complex challenges and is passionate about building AI-driven solutions that transform the Financial Services industry. As an AI Engineer at Capco, you will play a pivotal role in shaping the future of banking and insurance by leveraging cutting-edge AI technologies to deliver intelligent, scalable, and compliant solutions. Your work will enable our clients to unlock new efficiencies, enhance customer experience, and stay ahead in a rapidly evolving digital landscape. If you are excited about applying advanced AI techniques to real-world business problems and driving measurable impact, we want you on our team.

Key Responsibilities

• Build multi-agent workflows to optimize business processes within 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 specific 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 (e.g., GDPR, CCPA), and ethical AI practices.
• Conduct experiments, evaluate model performance, and iterate solutions to improve accuracy and efficiency.
• Monitor deployed solutions in production, troubleshooting issues, and implement updates as needed.
• Stay updated on emerging AI trends, particularly in NLP and LLMs, and contribute to knowledge sharing within the team.
• Participate in code reviews, agile ceremonies, and CI/CD processes.

Experience and Qualifications

• 4–10 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 Huggingface.
• Demonstrated experience in NLP, including projects involving text classification, entity recognition, or similar.
• Hands-on experience training and fine-tuning neural network models, with a track record of optimizing for performance and scalability.
• Proven expertise working with LLMs (e.g., GPT, BERT) and building agentic solutions using frameworks like LangChain, LangGraph, or ADK.
• Familiarity with cloud platforms (AWS, Azure, or Google Cloud) for model deployment and data management.
• Solid understanding of machine learning concepts, including supervised/unsupervised learning, evaluation metrics, and bias mitigation.
• Experience with version control systems (e.g., Git) and agile methodologies.
• Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.

Preferred Qualifications

• Experience in financial services domains such as fraud detection, credit scoring, or customer service automation.
• Familiarity with big data tools (e.g., Spark, Hadoop) and databases (SQL/NoSQL).
• Knowledge of graph databases and knowledge graphs.
• Understanding DevOps practices, containerization (Docker, 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 US

Capco is global technology and business consultancy with a focus on the financial services sector. We are passionate about helping our clients succeed in an ever-changing industry, combining innovative thinking with unique expert know-how.  The solutions we offer to our customers every day are as diverse as our employees.

We are/have:

• Experts across the Capital Markets, Insurance, Payments, Retail Banking and Wealth & Asset Management domains.
• Deep knowledge in various financial services offerings including Finance, Risk and Compliance, Financial Crime, Core Banking etc.
• Committed to growing our business and hiring the best talent to help us get there
• Focused on maintaining our nimble, agile and entrepreneurial culture.

THE ROLE

We are currently seeking a Data Analytics Lead to drive the strategy and growth of our industry recognised, and award-winning Data Practice. To be considered for this role you will be a respected authority in the analytics industry, with experience in helping to build and run an analytics consulting business. This is an exciting opportunity to join a growing team of multi-disciplinary data practitioners, who you will direct and collaborate with to develop new businesses and deliver cutting-edge analytics, data science and AI projects for top-tier Financial Services clients. You will play a key role in helping to direct and drive the growth of data analytics capability, identifying business development opportunities for new and existing clients, and aiding the development of client proposals, and propositions.

You will help to develop the HK Data Practice and support the broader Global Data Practice on industry changing topics such as Advanced Analytics, Artificial Intelligence, Intelligent Automation, and Machine Learning. Collaboration, enthusiasm, and encouragement are key in ensuring we maintain our culture and working in an environment where clients become colleagues. We are looking for a candidate who will empower the team, drive high standards, grow capability, and deliver customer focused outcomes.

AS DATA ANALYTICS LEAD YOU WILL

• Identify and research business development opportunities on new or existing clients and aid the development of client proposals and bids.
• Have a strong commercial focus, ability to develop client relationships, direct sales opportunities and develop data propositions.
• Build market networks and relationships, to enhance the market awareness of the HK Data Practice.
• Contribute to internally and externally facing innovation practice in your field
• Create a collaborative culture, drive talent development, provide mentoring and coaching for those developing their careers in data
• Be comfortable working across multiple projects and initiatives, driving the growth of new and existing data capabilities, engaging internal and external stakeholders.

SKILLS & EXPERTISE

• 8+ years of consulting experience, likely in a senior management or director position.
• Experience in spearheading new business opportunities.
• Understanding of common data concepts e.g., Data Strategy, Data Management, Data Governance, Data Architecture, Data Privacy, Data Literacy
• Expertise in one or more of the following Data Science, Analytics & AI concepts: Machine Learning, Business Intelligence, MLOps, Analytics operating models, AI development and operationalisation, Data & AI Ethics, Data Analysis
• Ability to develop working relationships with a wide variety of clients, from C-suite to technical resources, balancing conflicting priorities.
• Background managing business and technical teams to deliver projects of varying sizes, from incubating innovative products to delivering large scale productionised analytics and data science models.
• Essential experience working within Financial Services, Capital Markets, Insurance, or Wealth & Asset Management, in a data science, analytics and AI related role.
• Desired experience in programme execution, business analysis and change management – proven ability to shape, design, and manage the execution of data programmes.
• Experienced working in a multi-client environment that emphasises collaboration, and teamwork.
• Experienced in recruiting and developing teams.

We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.

Purpose of Position

• The Head of AI Innovation will be responsible for driving the exploration, development, and adoption of AI capabilities across the organization, with strong focus on large language models, data science, machine learning, and applied algorithms to solve real business problems. The incumbent will identify high-value AI opportunities, lead technical experimentation, and translate innovation into scalable enterprise solutions that enhance productivity, customer experience, and decision-making.
• The incumbent will collaborate closely with business stakeholders, product, engineering, data, security, and external partners to shape the AI roadmap, establish practical use cases, and build a strong foundation for responsible, scalable, and business-aligned AI innovation in a fast-paced and dynamic environment.

Job Description

• Lead the AI innovation strategy, roadmap, and execution across the organization, identifying high-impact opportunities where AI, machine learning, and advanced analytics can create measurable business value.
• Drive the research, evaluation, prototyping, and scaling of AI solutions with strong focus on LLMs, data science, and algorithmic approaches for both internal productivity and customer-facing use cases.
• Partner with business leaders and cross-functional teams to define problem statements, assess feasibility, prioritize use cases, and convert opportunities into executable AI initiatives.
• Provide strong technical leadership in model selection, prompt engineering, retrieval-augmented generation, fine-tuning approaches, evaluation methodology, and AI solution architecture.
• Lead the design and implementation of AI and data science solutions including forecasting, recommendation, personalization, search relevance, classification, anomaly detection, and optimization use cases.
• Work closely with data, engineering, and platform teams to ensure AI solutions are production-ready, secure, scalable, maintainable, and integrated into enterprise systems and workflows.
• Establish standards and best practices for experimentation, model evaluation, benchmarking, monitoring, governance, and continuous improvement across AI initiatives.
• Ensure responsible AI adoption by partnering with security and technology leadership on data privacy, access control, model risk awareness, and policy alignment.
• Evaluate and manage external vendors, technology partners, and emerging tools where relevant to accelerate innovation and delivery outcomes,
• Build, mentor, and lead a high-performing AI innovation team, fostering a culture of experimentation, technical excellence, business understanding, and continuous learning.
• Communicate AI strategy, use case value, and technical direction clearly to both technical and non-technical stakeholders, including senior leadership.
• Elevate CASETiFY’s AI capabilities and employer branding to attract top talents in AI, data science, and advanced engineering.

Requirements

• Strong hands-on experience in LLMs, machine learning, data science, and algorithm development, with practical experience in building business-focused AI solutions.
• Solid technical expertise in generative AI, prompt engineering, retrieval-augmented generation, fine-tuning approaches, and model evaluation for enterprise use cases.
• Strong foundation in statistics, machine learning methods, predictive analytics, and data-driven problem solving.
• Strong algorithmic thinking with experience in designing analytical, optimization, or decision-support solutions for real business scenarios.
• Experience in developing end-to-end AI or data science solutions from ideation, experimentation, and validation through to deployment and business adoption.
• Strong understanding of data pipelines, model lifecycle, experimentation frameworks, MLOps practices, and integration with enterprise applications and workflows.
• Hands-on coding proficiency in Python and familiarity with common AI, machine learning, and data science frameworks and tools.
• Ability to balance innovation with practicality, and translate technical possibilities into scalable business value.
• Excellent stakeholder management with strong business acumen and the ability to work across multiple business units and technology functions.
• Experience in leading or mentoring technical teams including AI engineers, data scientists, machine learning engineers, or related talent.
• Strong communication and presentation skills, with the ability to explain complex AI concepts to technical and non-technical audiences.
• Known for promoting best practices, technical rigor, and responsible innovation.
• At least 8 years of relevant working experience in AI, data science, machine learning, advanced analytics, or related technology roles, with leadership experience preferred.
• Previous experience in eCommerce, retail, customer experience, digital products, or operational analytics is highly preferred.
• Experience with cloud AI platforms, modern data ecosystems, and model deployment frameworks is preferred.
• Proficient in spoken and written Chinese and English.