Tech Lead - AI
About the role
The Tech Lead – AI role involves leading the design, development, and deployment of scalable AI systems for enterprise-scale workloads, particularly in the banking technology sector. The position requires overseeing AI architecture, engineering, and MLOps practices, as well as providing technical leadership and mentorship to AI and data science teams. The role also includes governance and validation of vendor-delivered AI models, ensuring compliance with organizational and regulatory standards, and promoting engineering excellence and responsible AI development. Candidates should have a strong background in AI engineering, hands-on experience with modern AI frameworks, and leadership experience in similar roles.
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
The position is based in Sri Lanka and is offered through InTalent Asia for a client in the banking technology industry. Experience in the banking or financial services sector is considered an advantage. The application process is managed by InTalent Asia.
Jobs across Sri Lanka, watched for you.Colombo, Sri Lanka