Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Build and deploy AI, data pipelines, and analytics solutions for enterprise clients in APAC, bridging business needs with production-ready GenAI and data platforms.
Design and implement scalable cloud data architectures, lead Data Lakehouse development, and build ETL/ELT pipelines using Python, SQL, and Spark for a government-linked AI platform.
Design and deliver AI-ready data platforms, ML pipelines, and GenAI-specific data flows for clients using cloud ecosystems like AWS, Azure, and GCP.
Design and optimize AI data pipelines, feature stores, and real-time inference systems using Python, Spark, and cloud infrastructure to power machine learning models.
Design and build scalable cloud-native data pipelines and lakehouse architectures for a government housing agency, using Python, Spark, Kafka, and AWS services.
Build and optimize AI-powered data pipelines for Razer’s gaming products, including feature stores, vector databases, and real-time streaming solutions using Python, Spark, and cloud platforms.
Build and maintain scalable data pipelines and GenAI applications for AI-driven analytics projects, collaborating with data scientists and engineers to deliver ML solutions for clients.
Build and evaluate AI/NLP models for government services, focusing on generative AI, evaluation frameworks, and production deployment with rigorous testing and responsible-AI practices.
Build and deploy AI models (computer vision, ML) and data pipelines to automate avionics workflows and deliver data-driven insights for Thales’ flight systems.
Data Engineer to build and maintain AI evaluation frameworks for Singapore’s public-sector digital initiatives, focusing on NLP, generative AI, and responsible AI practices.
Design and build scalable data pipelines and platforms to power analytics and AI solutions using cloud technologies like AWS, Databricks, and Snowflake.
Build and maintain scalable data pipelines in Python and AWS to feed AI platforms and BI tools, ensuring high-quality data for analytics and decision-making.
Design and build AI-ready data platforms and ML pipelines for analytics, GenAI, and RAG systems on AWS/Azure/GCP, ensuring production-grade delivery and MLOps practices.
Build and optimize distributed orchestration frameworks for large-scale ML training and inference in Kubernetes, focusing on resource efficiency and next-gen recommendation systems.
Design and lead AI/ML and GenAI architectures, build AI solutions in a Center of Excellence, and advise business units on AI adoption and governance.
Lead AI initiatives for banking clients, designing GenAI chatbots and automation workflows using Microsoft AI tools and LLMs, while mentoring teams and aligning AI projects with business goals.
Lead AI-powered analytics and Agentic AI solutions to drive business performance across ASEAN & South Pacific, building predictive/prescriptive models and deploying scalable ML systems using Python, Azure, and Databricks.
Builds and scales backend infrastructure for AI-driven recommendation systems and LLM serving platforms in a fintech company.
Build and maintain scalable AI platforms using Kubernetes, Terraform, and CI/CD pipelines on Azure and AWS, supporting MLOps and Generative AI workloads.
We couldn't check your fit for this role — add a CV to your profile to see it next time.