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Data Scientist Jr.
Builds and deploys ML models to optimize marketing spend and forecast demand, using Python, SQL, and basic neural networks with mentorship from HQ’s data-science team.
Data Scientist
Build and deploy AI/ML models in Python and Azure for an insurance-focused client, focusing on MLOps pipelines, LLM integration, and executive dashboards.
Data Scientist
Build knowledge-graph and AI-driven analytics to detect fraud and risk patterns using Python, LLMs, and graph reasoning.
Data Science and Machine Learning Engineer
Build and deploy ML models for predictive maintenance and energy optimization using Python, FastAPI, and Azure ML in ETAP’s electrical digital twin platform.
End-to-End Data & ML Engineer (LATAM) — AI-Driven Pipelines
Designs, builds, and maintains AI-driven data pipelines and ML applications in Python to power business decisions and strategy.
Staff Software Engineer (Data)
Lead the architecture and strategy of JLL’s enterprise data platform, consolidating global systems into a unified, scalable data layer to power AI-driven insights and analytics for commercial real estate.
Machine Learning & Data Engineer
Build, deploy, and maintain ML models and data pipelines in Python/SQL, using scikit-learn, PyTorch/TensorFlow, and MLOps tools like MLflow to productionize insurance-focused solutions.
Machine Learning & Data Engineer
Build, deploy, and maintain ML models and data pipelines in Python/SQL, using scikit-learn, PyTorch/TensorFlow, and MLOps tools like MLflow to move prototypes into production.
Senior Data Engineer, Attribution Expansion
Build and optimize AI/ML pipelines and real-time data systems for blockchain intelligence, enabling faster threat detection and insights for crypto businesses and governments.
Data Engineer - Databricks
Build and maintain scalable data pipelines on Databricks and Azure, optimizing ETL/ELT processes to support analytics and ML initiatives for an insurance-focused team.
Data Engineer - QuantumBlack
Build and maintain scalable data pipelines and infrastructure to power AI applications using LLMs, retrieval systems, and agentic architectures for enterprise clients.
Data Engineer - Databricks
Build and maintain scalable data pipelines on Databricks and Azure to feed analytics, ML, and reporting for an insurance company.
Data Engineer
Build and maintain scalable data pipelines and infrastructure to power AI/ML features in Tebra’s healthcare EHR platform, ensuring reliable, high-quality datasets for model training and production inference.
Senior Applied AI Engineer
Senior engineer builds and deploys LLM-powered agents and RAG systems for clients, owning presales scoping through production deployment with Python and cloud tooling.
DevOps Lead Engineer
Lead the design and improvement of scalable, secure DevOps infrastructure and CI/CD pipelines for a global bank, mentoring teams and embedding DevSecOps practices.
Platform Engineer (Data Platform, AI, 25-35K)
Build and maintain the AI platform and data lakehouse, automating operations and integrating services with APIs and cloud infrastructure using Python, Kubernetes, and MLOps tools.
Executive AI Solutions Engineer - Production AI for C-Suite
Build production-grade AI tools and workflows for executives, focusing on agentic AI, MLOps, and secure data pipelines to enhance decision-making.
AI Engineer (f/m/d)
Build and deploy enterprise-grade GenAI and ML applications for asset management workflows, integrating LLMs, RAG, and vector databases with full-stack Python/React systems in a regulated environment.
AI Engineer (LLM/ Chatbot)
Build and optimize production-grade LLM systems, integrating commercial APIs and self-hosted models, and implementing RAG pipelines and end-to-end LLM workflows.
AI Solutions Engineer, Office of the Group CEO
Build production-grade AI tools and data pipelines for the Group CEO, turning executive problems into reliable LLM-enabled workflows and decision-support systems while aligning with maritime and trading operations.