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Data Science Engineer
Build, validate, and deploy ML/DL/GenAI models in production, design data pipelines, and partner with stakeholders to turn business needs into technical solutions.
Production ML Engineer — GenAI & Data Pipelines (Mon–Fri)
Build, validate, and deploy ML, deep learning, and GenAI models in production, while designing data pipelines and monitoring model performance for a Singapore-based AI product company.
Data Engineering & AI Foundations Intern
Build and maintain data pipelines and quality systems to power AI models and agentic systems at a global investment firm.
Senior Data Engineer
Build and optimize data pipelines, data marts, and analytics platforms for an insurer, enabling data-driven decisions and regulatory compliance using SQL, Spark, Hadoop, and cloud tools.
Data Engineer Intern, Technology (Jan - Jun 2027)
Build and maintain data pipelines to make AI-ready datasets for Temasek’s AI and agentic systems, working with structured financial data and unstructured business documents.
Backend & Data Platform Engineer
Build and maintain Python/Java backend services and data pipelines for Loora’s AI English tutor, including real-time processing, analytics, and AI model training infrastructure.
Data Engineer
Altus Consulting is seeking a skilled Data Engineer to join our dynamic team. You will be responsible for designing, developing, and maintaining data pipelines and infrastructure that provide reliable and high-quality…
Managing Consultant, Data Engineer
Builds and maintains scalable data pipelines (ETL/ELT) using cloud tools like Azure Data Factory, AWS Glue, and Snowflake, collaborating with clients to integrate data sources, optimize models, and enable analytics-driven decision-making.
Managing Consultant, Data Engineer - Minneapolis
Build and maintain scalable data pipelines and ETL/ELT processes using cloud tools like Azure Data Factory, AWS Glue, Snowflake, and Databricks to help clients unlock data insights.
Principal Consultant, Data Engineer - Minneapolis
Principal Consultant builds and maintains scalable data pipelines and cloud-based analytics platforms for clients, using tools like Azure Data Factory, Snowflake, and Databricks.
Senior Data Scientist
Develops ML models and data pipelines to power analytics and reporting for business intelligence, collaborating with teams to drive data-driven decisions.
Senior AI Platform Engineer – Data & Analytics
Senior engineer building and scaling internal ML platforms and GenAI agents, integrating telematics data with robust pipelines for production systems.
AI Augmented Developer (Full Stack - Innovation Team)
Build and maintain enterprise healthcare software using C#, .NET Core, Java, Angular, React, and Kubernetes, with AI tools like GitHub Copilot to accelerate coding, testing, and debugging while ensuring compliance with healthcare regulations.
AI & Analytics Engineer - Business Automation
Build and deploy AI agents and automation workflows using LLM APIs and integration platforms to streamline business processes across procurement, sales, finance, and operations.
Founding Engineer
Build an AI-powered procurement platform for European healthcare, owning full-stack React/TypeScript frontends, Node.js backends, cloud ops, and retrieval/AI workflows from UX to deployment.
Software Engineering Intern (Full-Stack)
Build full-stack features in React/TypeScript and Node.js for an AI-powered procurement platform serving European healthcare, deploying to cloud and integrating embeddings and retrieval workflows.
AI Engineer in Synthetic Data
Designs and refines ML data pipelines for distributed training and validation of AI models that enable formally verifiable software, using Python/C++ and frameworks like PyTorch/TensorFlow.
Data Engineer
Build and optimize PySpark pipelines for a financial-services client, integrating large datasets and deploying scalable batch/streaming workloads on cloud platforms.
Data Engineer (LADS - Logistics Analytics Data Services) - Active Secret Clearance
Builds and maintains scalable data pipelines in Databricks, focusing on Delta Lake for reliable data capture and historical integrity, using SQL and Python to optimize data lakehouse architectures.