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Build and scale ML systems, MLOps, and agentic AI workflows for a leading Thai food platform, integrating models into production via APIs and microservices.
Builds and deploys AI tools for healthcare workflows, collaborating with teams to integrate ML models into clinical and operational systems using Python, SQL, and cloud platforms.
Designs and implements AI/ML solutions for healthcare operations, focusing on clinical, operational, and administrative workflows using advanced ML techniques like prompt engineering and RAG. Collaborates with cross-functional teams to ensure scalable, secure, and compliant AI systems while mentoring junior engineers.
Senior backend engineer owning architecture, delivery, and operations for two pre-launch AI-native products (a consulting platform and a 3D data visualization platform) using Python/FastAPI, Go, PostgreSQL, Redis, and LLM agent systems deployed on Kubernetes/DigitalOcean.
Data Engineer building and maintaining scalable data pipelines, debugging production data issues, optimizing SQL queries, and implementing data ingestion/storage strategies using Python, Pandas, SQL, and cloud platforms.
AWS Cloud Engineer responsible for the full data lake lifecycle—ingestion, storage, and processing—maintaining a Cloud Data Platform on AWS and supporting business case integration.
Founding Senior Backend Developer for a new Generative AI hub in Valencia, building an Agentic AI platform on Azure for a financial services organization using Node.js/.NET 8, Azure OpenAI, Cognitive Search, Cosmos DB, and Langchain/Langgraph.
PT Sharing Vision Indonesia masih membutuhkan beberapa orang minimal S1/D4/S2 dari Teknik Informatika/Sistem Teknologi Informasi/Teknik Elektro/Teknik Telekomunikasi/Sistem Informasi/Fisika/ Matematika/Statistika/Ilmu…
Job opportunity for Data Engineer at PT Sigma Global Teknologi in Kota Jakarta Barat, DKI Jakarta, Indonesia. Kualifikasi 1. Programming language a. Phyton b. Advance SQL (subquery, ROW_NUMBER, RANK, PARTITION BY,…
Builds and maintains unified data frameworks, pipelines, and tooling to integrate, process, and optimize large-scale data for analytics and AI applications.
Principal Data Engineer – Graph Data Engineering Neo4j Role Summary As Principal Data Engineer, you will be chartered with developing functional systems to realize key business objectives and goals, with a…
Lead a team to design, build, and deploy AI/ML systems including LLMs, RAG, and agentic workflows, setting engineering standards and ensuring production-grade reliability and governance.
Builds and maintains data pipelines, automates workflows, and assists in developing AI-driven solutions (e.g., coding agents) for a media/AdTech agency. Works with Python, cloud platforms, and AI tools to support business operations and innovation.
Senior data architect for Moonbug’s ad-sales team, building a unified database pipeline for LLM-driven analysis and self-serve reporting to drive client insights and sales strategy in children’s entertainment media.
Leads fintech data platform strategy, defining roadmaps and backlogs for AI/ML-driven data intelligence. Translates complex financial/operational requirements into engineering work, manages cross-functional data teams, and ensures reconciliation accuracy, data quality, and pipeline reliability for Barclays' payments and ledger systems.
Build and operate a secure, scalable logging and data platform across on-prem, GCC, AWS, and Azure to collect, store, and serve operational data for Singapore’s education sector.
This DevOps Engineer role is a one-year contract position supporting Singapore government agencies in building, modernizing, and operating digital services. The role focuses on cloud infrastructure, CI/CD pipelines, and container orchestration using technologies like AWS, Terraform, and Kubernetes.
Builds and maintains digital services for Singapore’s Ministry of Social and Family Development (MSF), focusing on citizen/officer-facing platforms, APIs, data pipelines, and cloud infrastructure. Works on modernizing legacy systems and creating reusable engineering capabilities across government agencies.
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