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