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Data/Ml Engineer - €58.000 - €77.000 A Year
Builds and maintains data pipelines, deploys ML models, and improves forecasting for a renewable-energy company.
Data Engineer (Senior)
Senior Data Engineer builds scalable data platforms using Microsoft Fabric, Python, Spark, and APIs to power analytics and decision-making for a modern instant-photography company.
AI & Data Science Consultant/Engineer (Japanese Speaking)
Design and build generative and agentic AI solutions (LLMs, RAG, agents) and data-science models for clients, then advise and demo them to stakeholders.
Principal AI/ML Engineer (Computer Vision)
Lead AI/ML engineering for computer vision systems in a global supply-chain company, designing models, optimizing for production, and guiding teams to integrate vision solutions into products.
Senior Machine Learning Engineer
Design and build production-grade AI/ML platforms and MLOps pipelines for clients, using Python, cloud (GCP/AWS/Azure), Terraform, and tools like Vertex AI and Kubernetes.
T&T Consultant - Engineering - Data Engineer - SG
Build and maintain scalable data pipelines, ETL/ELT workflows, and cloud-based data warehouses using SQL, Python, and AWS/GCP tools to support analytics and backend services.
T&T Senior Consultant - Engineering - Data Engineer - SG
Senior Data Engineer at Deloitte SG builds and maintains scalable ETL pipelines, data warehouses, and APIs using cloud platforms (AWS/Azure/GCP) and big-data tools (Spark, Kafka) to integrate and transform client data for analytics.
AI Machine Learning Engineer - Predictive Maintenance focus
Build and deploy AI/ML models for predictive maintenance using time-series sensor data to reduce equipment downtime in industrial and smart-infrastructure settings.
Data Scientist (AI & Machine Learning)
Build and deploy AI/ML models (forecasting, CV, NLP) in cloud/air-gapped environments, collaborating with engineers to drive operational efficiency and present insights to stakeholders.
Data Scientist - AI,ML
Build, train, and deploy AI/ML models (e.g., time-series, CV, NLP) to solve business problems, then monitor and iterate them in production with MLOps tooling.
AVP/VP, Data Engineer, Technology Group
Lead data engineering projects to build investment data & analytics platforms using Python, Spark, AWS, and modern DevOps tools, enabling data-driven decisions for a global sovereign wealth fund.
AI & Data Science Consultant/Engineer (Japanese Speaking)
Design and build generative and agentic AI solutions for enterprise clients, including LLMs, RAG, and AI agents, while advising on data strategy and analytics.
AVP/VP, Data Engineer, Data Strategy Group
Lead a team to build and maintain scalable data infrastructure and analytics platforms using Python, Spark, and AWS, enabling investment decisions at a global sovereign wealth fund.
Data Engineer (Financial Data / West)
Builds and maintains global equity datasets for quant research and portfolio construction, using Python, SQL, and data pipeline tools.
AI Engineer 2 (Data & AI Department)
Build and deploy AI/ML models for Singapore’s energy grid and regulatory needs, owning the full MLOps lifecycle from training to production monitoring and governance.
VP, Data Engineer, Data Strategy Group
Lead a team to build and maintain enterprise-scale data infrastructure and analytics systems for investment decisions using Python, Spark, AWS, and modern DevOps tools.
AI Engineer 2 (Data & AI Department)
Build and deploy AI/ML models for energy-sector operations and regulation, owning MLOps pipelines, automated retraining, and model governance to ensure production-ready, scalable solutions.
Data Engineer (Mid-Level)
Build and maintain scalable data pipelines, ETL processes, and APIs in AWS GCC to support data-driven products and analytics for a fintech company.
Senior Data Engineer
Build and maintain scalable data pipelines, ETL workflows, and APIs in AWS to support analytics and applications, using SQL, Python, and big-data tools.
Associate AI Engineer / Data Scientist
Build and deploy AI/ML models and automation tools to solve audit and assurance challenges in financial services, using Python, SQL, and generative AI techniques.