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Build and deploy GenAI/ML models end-to-end on GCP, containerize with GKE, and implement MLOps pipelines for scalable AI solutions in a regulated pharma context.
Design, build, and deploy ML models and pipelines for production use, collaborating with global teams to integrate AI solutions into client systems.
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.
Develops statistical models and ML algorithms to optimize clinical trial workflows (e.g., site randomization, patient matching) using AWS tools (SageMaker, Redshift) while ensuring HIPAA/GDPR compliance and monitoring model fairness in a healthcare-focused SaaS platform.
Lead a team to build and manage a centralized AI/ML Models-as-a-Service platform, overseeing model development, deployment, and MLOps pipelines for enterprise use.
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.
Design and build AI-driven finance systems—agentic workflows, ML forecasting models, and automation—partnering with FP&A, Accounting, and Treasury to deliver production-grade solutions that improve planning and reporting.
Build and deploy ML models and LLM-powered agents to automate data analysis and workflows for a global financial markets data provider.
Build and deploy ML models for search, pricing, routing, and generative-AI features that power Trainline’s travel platform, collaborating with data scientists and engineers.
ML/AI инженер разрабатывает и масштабирует модели для автоматизации бизнес-процессов в государственной цифровой платформе, используя Python, PyTorch, NLP/LLM и MLOps-инструменты.
Build physics-informed ML models for equipment degradation using time-series data, calibrate parameters, and own the end-to-end data pipeline in Python.
Build and deploy AI/ML models to optimize insurance customer acquisition and digital ad auctions using Python/R, SQL, and scikit-learn.
Build and ship core AI models for insurance risk analysis using deep learning and LLMs, from prototype to production with measurable business impact.
Senior Data Scientist builds AI/ML models and analytics on AWS/Azure to deliver insights for aerospace and defense programs, using Python, SQL, and MLOps practices.
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.
Senior ML Engineer designs, builds, and deploys cloud-based AI/ML solutions, leads MLOps practices, and mentors junior team members using Python, FastAPI, and cloud services like AWS/GCP.
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