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Data Scientist II building ML, NLP, and generative AI systems for clinical and scientific knowledge discovery and evidence extraction at Elsevier, using Python, LLMs, and standard ML/data science libraries.
Develops and deploys AI-powered legal tools by designing experiments, evaluating LLM/ML models, and prototyping agentic systems for legal research, drafting, and decision-making.
Designs and oversees large-scale data and AI architectures, balancing latency, cost, and scalability for Michelin’s enterprise systems. Focuses on Lakehouse (Delta Lake/ADLS Gen2), ML pipelines (Azure ML/AKS), and data models (PostgreSQL/Snowflake) while ensuring security and compliance.
Builds and deploys ML models (risk scoring, churn prediction, segmentation) for mortgage lifecycle decisions, collaborating with cross-functional teams in a regulated fintech environment.
The Data Scientist will develop and deploy machine learning models and analytics solutions to improve mortgage lifecycle decision-making. The role involves building predictive models, segmentation tools, and automation workflows using Python, SQL, and ML frameworks.
Build and deploy AI/ML models and GenAI features for federal applications, integrating them into production systems and collaborating with cross-functional teams.
We’re looking for a hands-on Data Product Manager to own and personally lead the development of our predictive market modelling solutions for the Animal Health division. This is a player-coach role: you will set the…
About the Company I’m currently working on an exciting opportunity for a Machine Learning Engineer to join a rapidly growing AI organisation working on some genuinely high-impact projects across National Security,…
Senior Data Scientist (Imaging) About Relation Relation is a sector defining TechBio company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in…
AI Engineer designing and deploying AI/ML solutions on Azure (Azure ML, Cognitive Services, Synapse) to optimize tax, audit, and advisory workflows at a large CPA and advisory firm.
Designs and builds scalable data platforms and ML solutions on AWS for clients, focusing on ETL/ELT pipelines, analytics, and automation.
You engineer production-grade ML systems for rail-inspection data, turning prototypes into reliable, scheduled pipelines and APIs that run on AWS and handle years of sensor data.
Analyze and model human decision-making in rail defect detection to improve analyst performance and pipeline accuracy. Work with imperfect data to score past decisions, quantify analyst variability, and recommend operational improvements like training or tooling changes.
Builds backend data services and React dashboards for rail inspection analytics, using Python, AWS, and modern frontend tooling to deliver inspection insights to stakeholders.
Build and maintain data pipelines, ML models, and APIs on AWS that power Zula 2.0, a rail-inspection data platform ranking and fusing inspection outputs.
The Data Analyst will join Sber's Neuroscience and Human Behavior Laboratory to conduct behavioral research using big data and machine learning. The role involves analyzing customer behavior, generating hypotheses, and building analytical models using Python, SQL, and LLM technologies to support strategic decision-making.
Senior ML/AI Engineer in NYC builds and deploys production-grade AI systems for demand forecasting, consumer intelligence, and autonomous decision-making using Python, ML frameworks, and graph RAG architectures.
Builds and delivers data science solutions for clients, including AI agent pipelines, predictive models, and Power BI dashboards using Python, SQL, and cloud platforms.
Builds ML models and algorithms to detect phishing threats and reverse-engineers attack vectors using Python/C# and SQL.
Desenvolve e mantém modelos de Machine Learning e Generative AI, desde a definição do problema até deploy e monitoramento, integrando soluções a produtos digitais via APIs ou pipelines.
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