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Build enterprise-grade GenAI apps in Python: LLMs, RAG pipelines, vector search, and agentic workflows for scalable, AI-powered solutions.
Build full-stack web apps using Python (Django/Flask/FastAPI) for backend and React.js/Angular for frontend, integrating APIs and deploying scalable solutions.
Build and deploy ML models for business decisions and optimize AI agentic systems like conversational tools, using Python, SQL, and libraries such as PyTorch.
Build and maintain data pipelines and platforms for a materials-research institute, integrating lab data and enabling analytics and ML to support carbon-capture and energy-storage research.
Build geospatial ML models to optimize final-mile delivery routes, reduce costs, and improve customer/driver experience using GPS, traffic, and routing data.
A Senior Data Scientist at Caesars Entertainment's Sportsbook team designs and deploys predictive and pricing models for real-time odds and risk management, using Python and machine learning to analyze sports data and collaborate with trading and engineering teams.
Manage a team of data scientists building predictive models and analytics for long-term care insurance using Python, SQL, and cloud tools to drive business strategy.
Build and optimize Python-based data pipelines and ETL processes for a large banking client, using SQL, Pandas, PySpark, and cloud tools to ingest, transform, and deliver high-quality data.
Analyze diverse datasets to uncover trends and anomalies, build statistical models, and produce insights for strategic decisions using SQL, Python libraries, and visualization tools.
Lead a team to design and build a Snowflake-based cloud data lakehouse for RBC Insurance, owning pipelines, performance tuning, and data quality while collaborating with architects and business stakeholders.
Builds and maintains Python-based financial applications for capital markets, including REST APIs, reporting tools, and CI/CD pipelines.
Position Summary We're looking for a Data Engineer to design, build, and optimize ETL pipelines that ingest and transform priority datasets into an enterprise data platform, using AWS-native services within a…
Build evaluation and benchmarking infrastructure for an agentic AI platform at a cybersecurity company, using Python, LLM evaluation frameworks, knowledge graphs, and vector databases.
Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader…
Senior AI Data Scientist designs, builds, and deploys enterprise-scale AI/ML solutions including LLMs, RAG, and predictive models using Python and MLOps practices.
Configure and tune AI-powered computer vision pipelines for retail robots, ensuring accurate shelf insights for customers and translating real-world issues into product improvements.
Analyze logistics data to build dashboards, KPIs, and predictive models that guide strategic decisions and optimize operations for a LatAm-focused shipping startup.
Lead the design, training, and deployment of production-grade ML models in Python for high-growth clients, using cloud infrastructure and MLOps tooling to drive business decisions.
Senior C++ engineer building ultra-low-latency trading systems for DV Commodities, including execution engines, market data pipelines, and exchange connectivity.
Senior Data Engineer builds and scales Python-based ELT/ETL pipelines, data warehouses, and DataOps practices for high-growth client products using tools like dbt, Airflow, and Snowflake.
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