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Build and deploy enterprise-grade AI/LLM solutions using Snowflake, dbt Cloud, and Python, focusing on RAG, conversational AI, and MLOps pipelines for a large pharmacy retailer.
Lead Happiest Minds’ GenAI & Agentic AI practice, building Azure AI or AWS AI solutions, driving growth, pre-sales, and enterprise delivery with frameworks like LangGraph and CrewAI.
Build and maintain cloud infrastructure, CI/CD pipelines, and reliability for AI systems using AWS, Terraform, and GitHub Actions.
Build and deploy enterprise-grade AI solutions, including GenAI agents and RAG systems, using Python, cloud platforms (Azure/AWS), and frameworks like LangChain to improve customer experience and operational efficiency in an insurtech company.
Designs and leads enterprise-scale AI and cloud data platforms for an airline industry client, leveraging Azure services like Databricks, OpenAI, and Delta Lake.
Build and deploy production-grade AI/ML and GenAI models for healthcare, integrating with EHR/PACS systems and ensuring secure, scalable MLOps/LLMOps operations.
Designs and leads enterprise-scale cloud data platforms and AI systems for an airline, focusing on Azure, GenAI, and modern data architecture.
Builds and deploys production-grade AI, ML, generative AI, and computer vision systems for a hospital, integrating with EHR, imaging, and clinical workflows while ensuring safety and scalability.
Lead the DevOps and platform engineering team at 1inch, building AI-driven, autonomous cloud infrastructure and Kubernetes environments to power DeFi protocols and APIs.
Build and secure Azure landing zones, CI/CD pipelines, and MLOps/LLMOps automation to safely deploy AI agents and apps across sandbox, staging, and production environments.
Lead end-to-end training of large language models using domain-adaptive pretraining, fine-tuning, and reinforcement learning, while building robust data and evaluation pipelines for intelligent agent systems.
We are looking for a Senior ML / AI Data Engineer to join an innovative team delivering advanced AI and data-driven solutions. This is a fully onsite role in Amsterdam for a Dutch-speaking professional. What You’ll…
Build and deploy LLM-driven AI/ML solutions for banking and insurance using LLMOps and Azure Databricks, including ML pipelines and ETL workflows.
Build and maintain self-governing AI platforms, focusing on MLOps, LLMOps, and governance to enable organizations to deploy AI systems independently.
Build and maintain AI/ML pipelines, transform data with Python/SQL/PySpark, and deploy LLMs using Databricks and MLOps/LLMOps practices.
Senior ML & Data Engineer builds and deploys scalable AI/ML pipelines and LLM-driven solutions using Python, PySpark, and Azure Databricks in a banking/insurance environment.
Build and maintain data and AI platforms, focusing on MLOps, LLMOps, and governance to enable organizations to deploy AI systems independently.
Build and maintain SendCloud’s data lakehouse and pipelines on AWS, enabling AI-driven decisions and agentic workflows for global shipping logistics.
Build and maintain scalable data pipelines and infrastructure to power AI systems, including LLMs and agentic architectures, using Python, SQL, and cloud platforms like AWS/Azure/GCP.
Builds and maintains .NET-based cloud migration tools that convert legacy enterprise systems to modern Azure architectures using C#, ASP.NET, and SQL Server.
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