Technical Lead - AI
About the role
The Technical Lead - AI will be responsible for designing and building scalable, production-ready AI systems that align with business objectives in the banking technology sector. The role involves leading the architecture, deployment, monitoring, and optimization of AI and machine learning solutions, as well as engineering AI models into robust microservices for enterprise-scale workloads. The position also includes governance and validation of vendor-delivered AI models, leading MLOps practices, and providing technical leadership and mentorship to AI teams. Candidates should have a strong background in AI engineering, machine learning, and data science, with advanced proficiency in Python and experience with modern AI frameworks and cloud platforms. The role is onsite in Colombo and offers the opportunity to work with a leading recruitment partner in Sri Lanka.
Must have
- Bachelor's Degree in Computer Science, Information Technology, or a related discipline.
- Minimum 5 years of hands-on experience in AI Engineering, Machine Learning Engineering, Data Science, or a related field.
- Previous experience in roles such as Tech Lead – AI/ML, Senior Data Scientist, Senior AI Engineer, Senior Machine Learning Engineer, or similar leadership positions.
- Strong technical leadership and people development capabilities.
- Excellent communication skills and ability to engage with technical and business stakeholders.
- Advanced proficiency in Python.
- Strong experience working with TensorFlow, PyTorch, Scikit-learn, and modern AI frameworks.
- Hands-on expertise with Large Language Models (LLMs) and Agentic AI architectures.
- Strong MLOps knowledge including MLflow, Kubeflow, SageMaker, Airflow, and related platforms.
- Experience with cloud platforms including Google Cloud Platform (GCP).
- Strong understanding of model governance frameworks, model cards, explainable AI (XAI), and regulatory model validation.
- Knowledge of differential privacy, model monitoring, and enterprise AI governance practices.
- Experience implementing scalable machine learning pipelines and production AI systems.
Nice to have
- Experience within the Banking or Financial Services sector will be an added advantage.
Technologies
- Agentic AI
- Airflow
- Data Science
- GCP
- Kubeflow
- LLM
- Machine Learning
- Microservices
- MLflow
- MLOps
- Model Deployment
- Python
- PyTorch
- Responsible AI
- SageMaker
- scikit-learn
- TensorFlow
Highlights
Applications should be sent to recruitment7@intalent.asia. The role is strictly onsite in Colombo 03. Experience in the banking or financial services sector is considered an added advantage.
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