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Build and maintain data pipelines and infrastructure for AI solutions, working with Spark, Python, and LLMs to support machine learning models and predictive analytics.
Build and automate data pipelines, implement AI-driven reporting, and enforce data quality using Dataiku and Python/C# in a hybrid Warsaw role.
Builds scalable data pipelines and AI/ML models, including LLM-based solutions, to detect financial crime for a UK banking client using Python, PySpark, and Big Data tools.
Build scalable data pipelines and AI/ML models for anti-financial crime at a UK bank, using Python, LLM frameworks, and distributed computing on GCP.
Build enterprise-grade AI solutions using data pipelines, LLMs, and agent-based systems on GCP/AWS/Azure to deliver scalable, data-driven AI for clients.
Build enterprise-grade AI solutions using data pipelines, cloud platforms, and agent-based systems with LLMs and Vertex AI to deliver scalable, data-driven AI for clients.
Build and ship scalable backend services, APIs, and AI-enabled apps while working directly with clients to solve complex business problems using modern AI tools.
Build an AI-native development platform using Angular, NestJS, and agentic tools like Kiro to automate coding, testing, and documentation workflows.
Lead a cloud-native AWS data platform powering GenAI insights and underwriting intelligence, building Python/.NET pipelines, PostgreSQL, OpenSearch, and LangGraph agentic workflows.
Lead a cloud-native AWS data platform powering underwriting intelligence and GenAI-driven insights, building Python/.NET pipelines, PostgreSQL, OpenSearch, and LangGraph agentic workflows.
Build LLM-powered automations, chat/voice assistants, and RAG pipelines using Python, FastAPI, and vector databases; deploy cloud-native services with CI/CD and guardrails.
Build and deploy large language models and deep-learning systems to power search, recommendations, and personalization for Instacart’s grocery marketplace.
Builds and tunes LLM pipelines, integrating documents from systems like SharePoint and REST APIs, and customizing model behavior for specific tasks.
Lead the design and deployment of generative AI and agentic AI systems for healthcare, including LLMs, RAG, and AI agents, while ensuring responsible, scalable, and compliant solutions.
Build and deploy generative AI models for financial services using Python, Azure, and LLMs to drive business value and mentor teams on MLOps.
Leads the AI product vision for BMO’s internal tech systems, defining Gen AI roadmaps, prioritizing use cases, and guiding implementation of LLMs, RAG, and responsible AI practices.
Build and deploy AI-powered solutions on Microsoft Azure while developing full stack apps with React/.NET and Azure services for a waste-management and recycling company.
Consultant builds AI/ML models and data pipelines for clients, using Python, SQL, and frameworks like TensorFlow/PyTorch to turn messy data into actionable insights.
Build and deploy generative AI and LLM models on Azure to transform financial data into insights, optimize solutions, and mentor teams.
Build and deploy generative AI models (LLMs, RAG, prompt engineering) on Azure to solve financial-services problems like health analytics and operations modernization.
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