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Build and deploy ML/AI models for government clients, focusing on predictive analytics and data-driven decision support using Python, SQL, and frameworks like PyTorch and TensorFlow.
Build and deploy ML/AI models for government clients, using Python, TensorFlow, and cloud tools to analyze data and deliver insights via dashboards.
Build and deploy enterprise-scale AI/ML models to power predictive analytics and automation for a global BPO and CX provider, using Python and cloud platforms.
Build and deploy machine learning models to automate and optimize business processes, using Python and cloud platforms to drive operational efficiency and strategic insights.
Build global pricing models and AI-driven tools to optimize Sulzer’s $1.4B+ aftermarket services portfolio using Python, R, and ML.
Lead AI/ML projects at a financial-data platform, building NLP models for text classification and time-series analytics to deliver insights for investment professionals.
Build and deploy AI/ML models and GenAI assistants using Python, LLMs, and vector databases; develop APIs and frontend interfaces to integrate AI solutions into products.
Build and scale ML pipelines to normalize telematics data, detect anomalies, and forecast routes for logistics and insurance customers using time-series and geospatial models.
Build and deploy ML models and pipelines that power Adyen’s data products, from research to production monitoring and business impact measurement.
Design and deploy autonomous AI agents using LLM/RAG to automate media planning, ad buying, and financial audits for an ad-tech client, covering the full lifecycle from modeling to production.
Lead high-impact modeling initiatives for an AI-driven insurance decision-intelligence platform, combining deep learning and traditional techniques to build and deploy predictive models that reveal hidden risk.
Lead complex AI/ML modeling projects for an insurtech platform, blending deep learning and LLMs with traditional techniques to predict risk and drive business decisions.
Build and ship core AI models for insurance risk analysis using deep learning and LLMs, from prototype to production with measurable business impact.
Leads end-to-end machine learning projects, architecting and deploying AI models to solve business problems while mentoring teams and collaborating with cross-functional partners in a commercial software company.
Senior Machine Learning Engineer designs, implements, and optimizes ML models and pipelines in production, focusing on performance, scalability, and efficiency for Conga's commercial operations platform.
Builds uplift and RFM models in Python to optimize marketing campaigns and A/B tests for an e-commerce company.
Build and deploy AI models that power personalized marketing content at scale using deep learning and transformer architectures in Python and PyTorch.
Build and tune credit-scoring models (logistic regression, gradient boosting) to predict customer defaults, run A/B tests on risk rules, and translate data insights into business decisions for a FinTech lender.
Hybrid AI leader and data scientist building LLM integrations, RAG solutions, and ML models for corporate analytics, automation, and decision support at a global consumer-goods company.
Builds and deploys end-to-end ML models (XGBoost, PyTorch/TensorFlow) for energy-sector digital transformation, collaborating cross-functionally to solve business problems with Python/SQL and cloud platforms (AWS/GCP/Azure).
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