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Principal Backend Engineer – MLOps, Cloud & Infra (Remote)
Architects and scales backend ecosystems and cloud platforms, integrating MLOps to ensure high availability and security using Python, AWS, Docker, Kubernetes, and microservices.
Lead DevOps Engineer (Digital Solutions)
Lead a team to automate cloud infrastructure and Kubernetes deployments using Terraform, GitLab CI, and ArgoCD, ensuring scalable, secure web and mobile platforms on GCP.
Senior Python Developer
Senior Python developer builds secure, high-performing backend services with FastAPI and GraphQL, integrating AI/LLM APIs on Azure for generative AI applications.
Machine Learning Engineer
Build and deploy AI/ML models and MLOps pipelines to tackle public health and forensic challenges using Python/R, Azure, Kubernetes, and MLFlow.
Machine Learning Engineer
Build and deploy AI/ML models and MLOps pipelines to tackle environmental, public-health and forensic challenges for New Zealand’s government research agency.
Machine Learning Engineer
Build and deploy ML models and data pipelines for public-health, environmental, and justice initiatives using Python/R, cloud/Azure, and MLOps best practices.
Junior AI Engineer - Logistics & Data Innovation
Build and deploy AI models to optimize logistics and digital services, collaborating with data scientists and ML engineers using MLOps practices.
AI Engineer Area AI / Data, AI & Analytics Finland
Design and build generative AI and LLM-powered solutions for clients, including agent architectures, RAG systems, and cloud-based AI platforms on Azure/AWS/GCP.
Data Engineer (Mid-Snr)
Design and build scalable data pipelines and modern data platforms using Azure, Databricks, and Microsoft Fabric to deliver enterprise intelligence solutions.
Data-oriented Full Stack Engineer
Build data-heavy full stack apps and AI features for clients, using Python, TypeScript/React, cloud platforms, and data pipelines while collaborating closely with distributed teams.
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.