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Build and improve alternative credit-scoring models using Python, SQL, and ML libraries to assess borrower risk for a fintech startup.
Build and deploy ML models for plant-based food products, collaborating with chefs and scientists to improve recipes and processes using Python, PyTorch, and cloud GPUs.
Build and deploy AI models: clean datasets, train neural networks, convert models to APIs, and integrate them into apps and cloud systems.
Designs and builds data pipelines and analytics for crypto products, creating dashboards and automating reports to surface business insights and anomalies.
Develops and maintains high-performance cloud-based analytics solutions using Spark, MapReduce, SQL/NoSQL, and Python data libraries to process large data volumes for U.S. government clients.
Build and automate predictive models and ETL pipelines on Databricks/Azure to power Awin’s adtech reporting and campaign optimization, using Python, PySpark, and ML frameworks.
Senior ML Engineer at Stafide in Amsterdam builds and deploys cloud-native AI models and data pipelines using Python, SQL, and ML libraries to drive enterprise decision-making.
The Data Science Analyst is responsible for using data science, machine learning, statistical modeling, and advanced analytics to solve complex business problems across Supply Chain and Operations. This role works at…
Lead AI and data-science teams to build predictive models and analytics for supply-chain, logistics, and smart-manufacturing using Python, cloud, and ML.
Senior data scientist builds and deploys ML models and experiments to optimize lending decisions and cash-flow workflows, using SQL, dbt, and Python tooling in a fintech setting.
Build and maintain the core sequencing analysis platform in Python, troubleshoot pipeline failures, and improve operational tooling for a genomics sequencer company.
Design and deploy GenAI solutions (RAG, LLMs) with Python and ML libraries, collaborating with stakeholders to solve business use cases while ensuring data security and compliance.
Build and deploy machine learning models on Azure using Python, Azure ML, and Databricks to deliver data-driven insights and predictive analytics for business stakeholders.
Build and validate enterprise Generative AI and Agentic AI systems for a major bank, focusing on LLM-based applications, RAG, and AI agents while ensuring regulatory compliance and robust governance.
Designs and implements Test Data Management (TDM) pipelines to provision realistic, secure test data for software validation, using SQL, NoSQL, Informatica IDMC, and Azure cloud tools.
Design and maintain scalable data pipelines using Snowflake, Databricks, Python, and SQL to build ETL/ELT solutions and cloud-native analytics platforms for enterprise reporting.
Builds and maintains ETL pipelines and data workflows using Python, Databricks, and Snowflake for a banking client in a hybrid Agile environment.
Build and maintain high-performance data pipelines and warehouses for a quantitative hedge fund, integrating market data and supporting trading strategies with C++ and Python.
Build and productionize generative AI models and LLM-driven applications using PyTorch, RAG pipelines, and vector databases, while engineering robust MLOps and data pipelines in Python.
Builds and optimizes AI-powered applications using Python, LLM frameworks like Langchain, and transformer models for large datasets.
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