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Senior Data Analyst
Build and maintain data pipelines in Dataiku, create Power BI dashboards for wealth portfolio insights, and mentor junior analysts in a fintech setting.
AI Architect
Design and oversee AI systems using frameworks like TensorFlow and PyTorch, deploying models on cloud platforms and integrating them into scalable microservices.
Senior Data Engineer
Senior Data Engineer builds and maintains data pipelines and models in AWS/Snowflake to power analytics and AI use cases for a large Canadian insurer.
Data Engineer
Build and maintain ETL pipelines and production ML systems on Azure, deploying models with Databricks and PySpark while ensuring data quality and model performance.
Senior Data Engineer: Feature Stores & MLOps Lead
Build and maintain feature stores and MLOps pipelines to support AI/ML underwriting models in a cloud and on-prem environment.
Senior Machine Learning Engineer, Compliance
Build and deploy ML systems for crypto-exchange compliance, including AML monitoring and KYC risk scoring, using on-chain and fiat data with LLM-assisted tooling.
AI Engineer
Design and build cloud-native GenAI applications using Python, Java, and frameworks like LangChain and Hugging Face, deploying on public cloud platforms.
AI Platform Engineer: Enterprise AI & Orchestration
Design, deploy, and maintain enterprise AI platforms and services using Kubernetes, GPU resources, and vector databases while ensuring scalability and security.
Data Engineer - 12 months agency contract
Design and build scalable cloud data pipelines and AI/ML models on AWS, Azure, and Databricks to turn healthcare data into actionable insights for clinicians and policymakers.
Senior Machine Learning Engineer
Build and operate large-scale ML pipelines that turn raw data into trusted business intelligence using Python, Spark, and cloud platforms like Azure and Databricks.
Senior Specialist, Data Scientist
Design and deploy AI/ML models and MLOps pipelines to improve healthcare and insurance outcomes, collaborating with cross-functional teams and ensuring responsible AI practices.
Lead Data and AI Solution Engineer
Lead the design and delivery of GenAI solutions for insurance, including vector databases, RAG pipelines, and LLM fine-tuning to enable context-aware AI across structured and unstructured data.
Data Engineer (GeBIZ X)
Build and maintain scalable data pipelines and AI-driven platforms for Singapore’s government procurement system, integrating ETL, streaming, and MLOps to support public-sector decision-making.
Principal AI Full-Stack Engineer
Principal AI Full-Stack Engineer builds and operates agentic AI systems for insurance products, spanning LLM inference chains, full-stack features, and production infrastructure.
Data Scientist
Build and deploy optimisation, forecasting, and scheduling models using Python, SQL, Databricks, and MLflow to improve operational decisions for a client’s AI transformation.
Senior AI Solutions Engineer
Designs, builds, and deploys AI/ML models for industrial use cases like predictive maintenance and computer vision, using Python frameworks and cloud platforms.
Senior Machine Learning Engineer
Build production ML systems to predict cybersecurity threats and prioritize risks using predictive models, large datasets, and MLOps pipelines.
AI engineer II
Build and deploy production-grade AI/ML services for Mastercard’s payments systems, collaborating with data scientists and engineers to ship reliable, scalable features.
Senior Machine Learning Engineer
Design and deploy ML models to forecast supply and demand for food-processing clients, turning raw enterprise data into accurate time-series predictions.
Senior Software Engineer – Python | Big Data | ML
Builds scalable Python-based big-data and ML services for credit risk, portfolio optimization, and ad targeting, using Spark, Hadoop, and ML lifecycle tools.