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Senior Data Scientist to design and implement algorithms for curating and validating AI training datasets using PySpark, Python, and statistical modeling at scale.
Build AI agents and analytics dashboards that automate workflows and power fintech features for financial advisers, using SQL, Python, LLMs, and BI tools.
Builds AI agents and dashboards to automate fintech analytics and reporting, using SQL, Python, LLMs, and RAG over enterprise data.
Fine-tune and deploy private AI models (LLMs, vision) using Python, Docker, and cloud platforms; maintain scalable, secure AI solutions with prompt engineering and responsible-AI practices.
Senior data scientist builds and deploys ML models, graph analytics, and Gen AI solutions to detect fraud and extract insights from interconnected datasets using Python and cloud platforms.
Lead the design and delivery of full-stack applications with embedded AI features, guiding teams to build scalable, secure solutions while integrating generative AI, LLMs and vector databases.
Build and architect multi-agent AI systems for a LegalTech startup, automating patent workflows with LLMs while ensuring legal accuracy and production-grade reliability.
Lead the design, development, and deployment of enterprise-scale Generative AI solutions using LLMs, RAG pipelines, and cloud platforms like GCP, while mentoring teams and optimizing production-grade AI systems.
Build and ship production-grade AI agents for meditation and mental-health experiences, blending robust engineering with clinical judgment to create safe, evidence-informed wellbeing tools for 30M+ users.
Design and deploy secure, scalable AI solutions for a federal government agency using Azure AI services, agentic frameworks, and RAG to improve service delivery and align with governance requirements.
Design, build, and deploy AI agents and RAG systems using Azure OpenAI, LangChain, and Python/TypeScript, while ensuring security, governance, and responsible-AI compliance in a regulated government environment.
Design and deploy AI-driven solutions for clients, integrating ML models into production and aligning them with business goals using Python, TensorFlow/PyTorch, and cloud platforms.
Build and deploy AI-powered applications, copilots, and automations using Microsoft and AWS AI services to improve business efficiency and customer experience.
Lead a team to design and deploy AI/ML models, including generative AI and computer vision, using Azure AI services and Python, while establishing MLOps pipelines for enterprise-scale solutions.
Build AI-powered knowledge systems and retrieval pipelines for an HCM suite, integrating LLMs, RAG, and agentic workflows in TypeScript/Node.js and Python.
Build and validate AI prototypes for enterprise clients, focusing on generative AI and agentic systems to solve business challenges through rapid experimentation.
Build and validate AI prototypes (summarisation, forecasting) using LLMs and Agentic AI for enterprise clients, assessing feasibility and ROI before full-scale deployment.
Build and deploy scalable AI/ML systems, including LLM pipelines, RAG, and MLOps tooling, to production for a global lifestyle brand.
Build and deploy AI agents for logistics workflows using LLMs, RAG, and agent frameworks; design prompts, tools, and evaluation pipelines to move solutions from pilot to production.
Build and deploy production AI systems: LLM APIs wrapped in FastAPI, prompt engineering, structured JSON outputs, and observability for classification and agent workflows.
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