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Design and own scalable backend services and cloud-native systems in Scala/Java, using Kafka, Spark, and Kubernetes to power global, data-intensive applications.
Build and deploy AI models and agents at scale using Python, GCP, and MLOps pipelines to improve JYSK’s operations and customer experiences.
Design and enforce cloud security baselines for AWS, monitor risks, drive remediation, and automate detection to protect a regulated crypto exchange serving 18M users.
Design and lead enterprise-scale AI and data architectures, integrating LLMs, RAG, and agentic systems with cloud platforms like AWS, Azure, and Google Cloud.
SSMC (Systems on Silicon Manufacturing Company Pte. Ltd.) is a Joint Venture between NXP and TSMC. We offer flexible and cost-effective semiconductor fabrication solutions by maintaining fully equipped SMIF cleanroom…
Lead the design and training of large multimodal foundation world models for Grab’s AI systems, using transformers, diffusion models, or state-space models to simulate complex marketplace dynamics.
Build and deploy AI-powered healthcare solutions using LLMs, RAG, and Azure services to automate document processing and enhance clinical insights for payors and providers.
Build production-grade AI architecture blueprints and open-source Quickstarts with Python, PyTorch, and Kubernetes, focusing on enterprise deployment, security, and regulated environments.
Design and deploy AI models (LLMs, CV, Agentic AI) from research to production APIs, build RAG pipelines, and integrate solutions with core systems.
Designs and scales AI systems for Dyson’s cross-functional teams, focusing on architecture, prompt engineering, and retrieval augmentation to drive measurable business impact.
Build and deploy ML models (propensity, recommendation, LTV) on AWS SageMaker and use LLMs for personalisation and analytics to drive revenue growth in a digital bank.
Build, test, and deploy AI/ML models and GenAI workflows in Python, integrating them into business systems using cloud platforms like Snowflake and CI/CD pipelines.
Lead a team to design, build, and deploy AI/ML models (computer vision, GenAI, NLP) using TensorFlow/PyTorch and MLOps practices, while mentoring engineers and owning full model lifecycles.
Job Description: The DevSecOps Engineer shall be responsible for the following: • Own the operationalisation and deployment of ML models into production, working closely with the Data Scientist at the handoff between…
Own the full AI lifecycle: research and fine-tune models, build production pipelines, and deploy scalable APIs that power credit scoring, fraud detection, and personalization.
Build and deploy AI-powered software solutions for clients, integrating ML models into enterprise systems with AI-assisted development tools and DevOps practices.
Build production-ready card-issuing features for a global fintech platform, including APIs, spend controls, and transaction systems, using Python and AI-driven automation.
Senior consultant builds and maintains AWS-based MLOps pipelines for a quant hedge fund, migrating researchers from an on-premise grid to cloud compute while ensuring fast, interactive workflows.
Senior Machine Learning Engineer / Data Scientist | Financiële Sector Focusgebied: Engineering & Advanced Analytics De perfecte combinatie: Impact, Innovatie én Stabiliteit Wil jij werken aan complexe…
Build and maintain ETL/ELT pipelines, data warehouses, and AI-ready data flows for Mastercard’s payment and analytics platforms using Snowflake, SAP HANA, and cloud-native tools.
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