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AI Manager
A leading global law firm is seeking a Manager of AI & ML Applications to help shape and drive its AI strategy. This is a hands‑on leadership role for someone who can balance immediate implementation with long‑term…
AI Project Coordinator | AI Tools & Process Improvement
Coordinates AI-powered projects, automates workflows, and improves processes using tools like Copilot and ChatGPT to streamline reporting and documentation.
AI Engineer | Hybrid - Centris/Makati
Designs and deploys AI/ML models and GenAI solutions (LLMs, RAG) on Azure and Databricks, embedding intelligence into enterprise data pipelines and lakehouse architectures.
Remote AI Enablement Analyst: Drive AI Adoption
Analyze workflows and data flows to assess AI readiness, document requirements, and drive adoption across teams for an AI-focused agency.
Marketing Data Scientist, Data & AI Enablement
Build and maintain Snowflake data models to power AI-driven marketing systems, enabling agentic workflows and LLM tool-calling for predictive and generative use cases.
Data Engineer - AI Data Pipelines (Hybrid: Pasig/Remote)
Builds and maintains data pipelines for AI using Databricks, GCP, and Azure to feed model training, RAG search, and Power BI reporting.
Data Engineer
Builds and maintains scalable data pipelines using Databricks, GCP/Azure to feed AI models, RAG search, and analytics, ensuring clean, reliable datasets for machine learning and reporting.
Data Engineer
Build and maintain scalable data pipelines using Databricks, GCP, and Azure to power AI models, RAG search, and analytics for a global enterprise.
Data Engineer
Build and maintain scalable data pipelines using Databricks, GCP, and Azure to power AI models, RAG search, and enterprise analytics for a Fortune 500 company.
Data Engineer, AI Pipelines & Lakehouse (Hybrid)
Builds and maintains data pipelines for AI training and analytics using Databricks, GCP, and Azure, ensuring clean data for models and reporting.
Data Engineer
Build and maintain scalable data pipelines using Databricks, GCP, and Azure to power AI model training, RAG-based search, and enterprise analytics.
Data Engineer: AI Data Pipelines & Lakehouse (Hybrid)
Build and maintain data pipelines for AI model training and analytics using Databricks, GCP, and Azure, ensuring clean, reliable data and supporting BI dashboards.
Senior Software Engineer
Builds full-stack genomics data products using Go, Python, React, and cloud-native tools to surface insights for research and healthcare.
Senior DevOps Engineer, CX
Design and optimize CI/CD pipelines, build systems, and release automation for global engineering teams using Git, Jenkins, Docker, and cloud infrastructure.
Senior Data Architect & AI Strategy Lead — Flexible Work
Leads data architecture design and AI strategy for client projects, building lakehouse/medallion structures and guiding secure, scalable data foundations.
Data & AI Engineer — Flexible Work, Real Impact
Build and deploy AI-powered data pipelines and ML solutions for clients, using cloud platforms and Python to deliver scalable, real-world impact.
Data Engineering Consultant
Design and build modern data platforms for Finland’s largest enterprises, enabling scalable analytics and AI agents while guiding customers through complex data challenges.
Clinical Analytics Engineer: Data-Driven Clinical Solutions
Designs and builds data products and visualizations for clinical trials, translating business needs into digital solutions in a regulated healthcare environment.
Data Engineer - QuantumBlack, AI by McKinsey
Build and maintain scalable data pipelines for machine learning systems, ensuring data quality and security while collaborating with cross-functional teams to deliver AI solutions for clients.
Data Engineer - QuantumBlack, AI by McKinsey
Builds scalable data pipelines and infrastructure for AI systems, including LLMs and agentic architectures, using Python, SQL, and cloud platforms like AWS/Azure/GCP.