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Lead a team of data scientists to build and deploy credit-scoring models that power lending decisions, ensuring accuracy, compliance, and business impact.
Lead end-to-end AI model development for CPG, including time-series forecasting, optimization, and generative AI, from data exploration to deployment.
Design and build cloud-native, scalable AI and data products using microservices, focusing on cutting-edge AI tech and societal impact.
Build and deploy AI/ML models to drive revenue growth and cost optimization across finance, insurance, and other sectors using Python and cloud-native tools.
Build predictive models and dashboards to forecast claims, detect fraud, and segment healthcare members using SAS, Python, R, SQL, Power BI, and Databricks.
Lead AI evaluation infrastructure for Dronedeploy’s Progress AI product suite, building automated pipelines and refining prompt lifecycles to ensure model accuracy.
Build production-grade ML systems to detect retail crime patterns using computer vision, NLP, and graph analytics, deploying models on a cloud-native stack to power real-time alerts for global retailers.
Build and maintain AI evaluation infrastructure for LLM-driven features in Progress AI, focusing on prompt optimization, dataset quality, and model accuracy measurement.
Designs user experiences and deliverables for SaaS products, including research, wireframes, mockups, and prototypes to solve real user problems.
Build and ship the core AI engine and agents that reason over complex business models, turning mathematical ideas into production code in Python and FastAPI.
Lead a data-science team building AI-driven ad-optimization tools in Python/React/TypeScript, managing ~$5B in ad spend and turning models into scalable products for global marketers.
Lead a data-science team to build statistical models and insights pipelines that turn procurement and sustainability data into actionable product features using Python and SQL.
Build AI-driven simulations for industrial ventilation and cooling systems, integrating ML models with engineering workflows and large datasets.
Build AI-augmented simulations for industrial ventilation and cooling systems, integrating ML/DL models and training engineers on new tools.
Lead a team of data scientists and engineers to build and deploy ML models for route planning in a logistics platform used by thousands of drivers daily.
Lead a team of data scientists to build and deploy ML models that power route-planning software for logistics drivers, cutting waste and improving delivery efficiency.
Lead AI and data-science engagements for retail clients, translating business needs into AI solutions and deploying models using modern frameworks and cloud platforms.
Build and maintain data architecture, predictive models, and digital twins to optimize Elopak’s manufacturing process and improve quality, delivery, and efficiency.
Builds and maintains data pipelines to feed quantitative research and trading models using Python.
Build AI/ML-driven simulation tools to optimize industrial fan design and validate performance using physics-informed models and engineering datasets.
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