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Build and maintain AI-driven marketing data pipelines in Snowflake, using Python and SQL to ensure clean, accessible data for predictive models and analytics.
Analyze large datasets to extract insights and build predictive models that guide business strategy decisions.
Lead AI-driven forecasting and optimization projects, building and deploying generative AI models for sales, finance, and supply chain in a product company.
Design and deploy predictive analytics and AI models using SQL, Python/R, and cloud tools to drive business decisions in HR tech.
Lead advanced analytics projects by developing, deploying, and measuring ML models to solve business problems across global clients.
Senior Data Scientist builds ML models to prioritize cybersecurity vulnerabilities using Python, R, and TensorFlow/PyTorch on enterprise security telemetry.
Design AI evaluation frameworks, improve LLM training data quality, and analyze failure trends for a global remote team.
Build and run evaluation frameworks to test and improve AI model accuracy and safety using Python/SQL.
Build and deploy large-scale AI solutions for enterprise customers, using Python/C++ and cloud platforms, while collaborating with cross-functional teams to solve complex business problems.
Build AI-powered agents and RAG applications using vector databases and orchestration frameworks to automate tasks and deliver data-driven insights for commodity markets.
Build and own AI-driven credit risk and growth models for a fintech company, influencing business decisions with production-ready machine learning solutions.
Develop AI solutions and predictive models to drive business impact, deploying ML systems with Python or R.
Build and maintain Snowflake data models to power AI-driven marketing systems, enabling agentic workflows and LLM tool-calling for predictive and generative use cases.
ML Engineer/Data Scientist maintains and evolves ML models in production for a banking project, using Python, PySpark, BigQuery, and GCP while monitoring model drift and performance.
Build ML models and data pipelines to turn microfinance data into actionable insights for Cebu City-based teams.
Senior Data Scientist builds predictive models and analytics using Python, PySpark, and cloud tools to extract business insights and guide decisions.
Build and refine ML models to detect and prevent fraud for Sardine’s clients, using Python/R, SQL, and BI tools while collaborating with stakeholders.
Senior Data Scientist builds and deploys ML models to solve business problems, collaborating with engineers to productionize systems using Python, SQL, PySpark, and frameworks like TensorFlow/PyTorch.
Build predictive models and analytics solutions using first- and third-party data to drive business decisions, focusing on persistency and agency recruitment analytics.
Lead AI engineering efforts, designing and deploying ML systems, mentoring teams, and driving enterprise-level data strategy with Python, TensorFlow/PyTorch, and cloud platforms.
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