AI Tech Lead / Data & AI Lead (Python, GenAI, MLOps) for our client in Singapore

AI Tech Lead :- * Bachelor's or Master's degree in Computer Science, Engineering, Data Science or a related field. * 8+ years of software or data engineering experience, including 3+ years building and deploying AI/ML solutions in production. * Strong programming skills in Python (Java or Scala is a plus), and experience with REST APIs and microservices. * Hands-on experience with ML frameworks such as PyTorch, TensorFlow or scikit-learn. * Experience with LLMs and GenAI tooling (e.g., LangChain, LlamaIndex, vector stores, prompt engineering, fine-tuning). * Experience with a major cloud platform (AWS, Azure or GCP) and containers/orchestration (Docker, Kubernetes). * Experience with MLOps practices and tools (MLflow, Kubeflow or similar), CI/CD and monitoring. * Proven experience leading or mentoring technical teams. * Strong communication skills, able to explain technical decisions to non-technical stakeholders. Preferred Qualifications * Experience in a regulated industry such as banking or financial services. * Knowledge of AI governance, model risk management and data privacy regulations (e.g., PDPA, GDPR). * Experience with data platforms and tools such as Spark, Databricks, Snowflake or Kafka. * Cloud or AI certifications (e.g., AWS ML Specialty, Azure AI Engineer, GCP ML Engineer). * Experience with agentic AI, evaluation frameworks and AI security (prompt injection, data leakage). Data AI Lead :- * Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Statistics or a related field. * 8+ years of experience in data engineering, analytics or data science, including 3+ years in a lead role. * Hands-on experience delivering AI/ML solutions in production. * Strong knowledge of data architecture: data warehouses, lakes or lakehouses, ETL/ELT and streaming. * Proficiency in Python and SQL, and experience with tools such as Spark, Databricks, Snowflake or similar. * Experience with a major cloud platform (AWS, Azure or GCP). * Understanding of data governance, data quality and privacy requirements. * Strong stakeholder management and communication skills, able to explain complex topics to non-technical audiences. * Proven ability to lead teams and manage delivery in Agile environments. Preferred Qualifications * Experience with GenAI, LLMs and RAG, and with MLOps practices. * Experience in banking or another regulated industry. * Knowledge of regulations such as PDPA or GDPR, and of model risk management. * BI tool experience (Power BI, Tableau or similar). * Relevant cloud, data or AI certifications