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Full Stack Data Scientist
Build and deploy end-to-end data/AI pipelines for clients, integrating ML models, cloud-native stacks (AWS/Azure/GCP), and real-time processing to turn raw data into business insights and operational tools.
Data Engineer with 3+ years of experience in Databricks and/or Microsoft Fabric, Aarhus
Design and build scalable data pipelines and models using Databricks, Microsoft Fabric, and Azure tools to deliver business insights and solutions for clients.
Data Engineer with 3+ years of experience in Databricks and/or Microsoft Fabric, Aarhus
Build and optimize ETL pipelines and data models using Databricks, Microsoft Fabric, and Azure tools to deliver scalable data solutions for clients.
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.
Data Engineer - On-site Copenhagen
Build production-grade data pipelines and AI infrastructure for enterprises, using tools like Snowflake, dbt, and Databricks to power real-time AI workflows and agentic systems.
Senior Data Engineer
Build and optimize a Databricks-based Lakehouse platform for a multi-channel retail business, transforming raw data into scalable, business-ready insights using PySpark, Delta Lake, and Unity Catalog.
Senior Specialist AI Engineer (MLOps)
Build and maintain MLOps pipelines to deploy, monitor, and scale AI/ML models in production on Azure, ensuring reliability, security, and continuous improvement for DKSH’s AI systems.
AI Engineer/ Architect- 12 months- 6k$- Insurer- No visa
Design and implement enterprise AI solutions for an insurer, focusing on generative AI, LLMs, and scalable platforms to improve underwriting, claims, and customer service.
Senior MLOps Engineer: AI Pipelines & Cloud Infra
Designs and deploys AI pipelines and cloud infrastructure, automating DevOps workflows and deploying models in OpenShift/Docker while ensuring security and observability.
Senior Data Scientist (min 3yrs of experience)
Build and deploy ML models to solve business problems, analyze datasets for insights, and mentor junior team members using Python/R, SQL, and cloud platforms.
Senior Manager, AI & Analytics
This role sits within the Marketing function of Manulife Insurance Berhad and partners closely with business leaders to identify, shape and deliver AI-enabled opportunities that improve employee productivity,…
Senior Architect (AI / ML)
Design and lead enterprise-grade AI/ML architectures for DHL’s logistics systems, including generative AI, MLOps, and cloud platforms like Azure and Google Cloud.
Data Scientist Specialist
Build and deploy production-grade AI systems, ML pipelines, and GenAI/LLM solutions using Python/R, Docker/Kubernetes, and MLOps best practices to drive business impact in a Malaysian telco.
DevOps AI
Designs and maintains cloud infrastructure and CI/CD pipelines to deploy and operate AI models in production, collaborating with AI teams and automating ML workflows.
Senior Specialist AI Specialist (Data Scientist)
Build and deploy AI models in Python using TensorFlow/PyTorch, then productionize them with MLOps on Azure and Docker; translate insights into business decisions.
Senior Data Engineer
Build and optimize high-volume ETL/ELT pipelines, real-time data streams, and cloud data warehouses to power search, recommendations, and fraud detection for a large Southeast Asian marketplace.
AI Engineer
Design, build, and deploy AI/ML models and generative AI solutions, including LLMs, while collaborating with data teams and ensuring responsible AI practices.
Associate Director, Data & AI Architect
Architect enterprise-grade data and AI solutions for an insurer, designing cloud-native pipelines, Databricks lakehouses, and Agentic AI systems while aligning with insurance domains like IFRS17 and actuarial needs.