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Position Title: Senior Credit Risk Manager Department: Credit Risk Reports to: Global CTO Location: Remote #APJ #EMEA About FINN FINN is a fintech company building simple and transparent products that improve financial…
Builds and deploys AI-driven payment systems (LLM-powered workflows, fraud detection, personalized checkout) at scale for Airbnb’s global transactions, optimizing payouts/collections while ensuring low latency and security.
Designs and deploys AI/ML solutions (including generative AI/LLMs) for clients, integrating them into business processes via APIs/SDKs using Microsoft/IBM tech (e.g., Maestro platform) and Azure cloud. Focuses on MLOps, prompt engineering, and cross-team collaboration to deliver scalable, impactful AI-driven insights.
Design, deploy, and maintain Azure-based Kubernetes infrastructure and CI/CD pipelines for scalable, secure systems while collaborating with cross-functional teams.
The Azure Practice Architect II leads enterprise-level cloud and AI initiatives, designing scalable Azure infrastructure and integrating AI/ML solutions into DevOps pipelines. This remote role involves 80% delivery support and 20% sales engineering, requiring deep expertise in Azure services, MLOps, and client-facing consulting.
Data Engineer building scalable ELT/ETL pipelines and data lake/lakehouse solutions using Python, SQL, and cloud services for a Finnish data consultancy.
Data Engineer based in Papeete, French Polynesia, responsible for designing decisional data models (ODS, DW, datamarts), building ETL pipelines with Talend/Talaxie/Python/dbt, and creating PowerBI dashboards, while leveraging AI tools to enhance data and BI workflows.
Develops AI-driven integrations and workflows for mergers & acquisitions, focusing on cloud-native AWS solutions, API development, and operationalizing AI services with MLOps and observability.
This role involves driving applied research and product-oriented data science for an Agentic AI platform, focusing on LLM fine-tuning, evaluation, and knowledge graph development. The position requires deep technical expertise in machine learning and production-scale AI deployments to deliver robust agentic solutions.
This role involves building AI-driven data ingestion pipelines and a unified data model for pharmaceutical CMC processes using Python, SQL, and LLM orchestration frameworks. The engineer will develop GxP-compliant infrastructure to integrate data from various laboratory systems and external partners.
Lead the architecture and implementation of enterprise-scale AI systems combining generative AI, autonomous agents, and knowledge graphs using Python, LLM frameworks, and graph databases like Neo4j or Amazon Neptune.
The Domain Architect defines and implements strategies for cloud-native network function deployment automation and AI-enabled software delivery. The role involves leading end-to-end architecture, driving migration strategies, and mentoring teams in modern DevOps and AI-assisted engineering practices.
Lead a team building scalable, high-performance admin interfaces and services for Adobe’s enterprise platforms using React, Node.js, and cloud infrastructure, while driving engineering standards and mentoring engineers.
Build and maintain scalable data pipelines, cloud platforms, and AI/ML Ops solutions for a global financial firm, ensuring data quality, governance, and reliability across business units.
Design and deploy enterprise-scale ML systems and knowledge graphs for Dell, building agentic AI applications, RAG pipelines, and semantic data layers using Neo4j/Stardog and distributed data tech.
Principal Data Scientist at Takeda builds and deploys ML models and statistical methods to solve complex healthcare business problems, collaborating with cross-functional teams to drive data-driven decisions.
The Director of Computational & AI Biologics Design leads in silico drug discovery efforts by applying generative AI and structural modeling to antibody and large-molecule programs. This role bridges the gap between AI/ML platform capabilities and experimental drug-hunting teams to accelerate candidate optimization and clinical delivery.
Develops AI/ML-driven cheminformatics tools to accelerate drug discovery by designing predictive models, optimizing workflows, and integrating agentic AI for molecular design and analysis.
The AI Architect designs and implements scalable, secure, and enterprise-ready AI and Agentic AI architectures. They collaborate with cross-functional teams to bridge the gap between experimentation and production using cloud ecosystems, MLOps tools, and modern AI frameworks.
Senior AI Engineer/Architect at a large engineering services firm, designing and implementing AI solutions (LLMs, RAG, agents) for clients—covering strategy consulting, PoC development, scalable architecture, and MLOps governance.
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