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Build and deploy ML models to extract insights and predict outcomes for clients, using Python/R and collaborating with cross-functional teams.
Design and deploy LLM-based AI systems for healthcare compliance, including voice-to-documentation and regulatory gap analysis, using Python, LangChain, and vector databases.
Build and maintain AI-driven knowledge representation systems for healthcare supply chains, including entity resolution, knowledge graphs, and LLM-assisted extraction pipelines.
AI QA Trainer evaluates and hardens large language models through rigorous testing, red-teaming, and prompt robustness checks to improve reasoning, safety, and reliability.
Evaluate and harden large language models by designing tests, running adversarial prompts, and documenting failures to improve reasoning, safety, and reliability for enterprise use.
Freelance role training and evaluating advanced AI models on data science topics, requiring deep expertise in ML, NLP, and statistical modeling to improve model reasoning and accuracy.
Design and sell AI-testing solutions for high-stakes environments; lead pre-sales workshops, scope customer needs, and map them to Resaro’s platform for computer vision, generative AI, and autonomous systems.
Build and optimize scalable data pipelines for AI model training, focusing on multimodal datasets and closed-loop evaluation systems to improve large language and multimodal models.
Build and deploy production-grade ML and generative AI models on AWS for fraud, identity, and decisioning products, collaborating with data scientists and engineers to productize solutions.
Lead AI research at Globe Telecom: evaluate LLMs and AI platforms, run benchmarks, and recommend enterprise adoption strategies to guide the company’s AI direction.
Build and deploy production-grade AI agents and LLM services in Python on AWS, integrating RAG pipelines, prompt engineering, and guardrails for enterprise automation in Santa Clara.
Build next-gen generative models of cellular behavior to guide drug discovery, using single-cell multi-omics and ML to predict intervention effects and design experiments.
Build and evaluate ML models for entity matching using embeddings, LLMs, and NLP on messy, multilingual datasets; design experiments, metrics, and scalable inference pipelines.
About WPP Media WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing…
Lead enterprise AI/ML and generative AI initiatives, designing and deploying LLM-based solutions, setting strategic roadmaps, and mentoring teams to drive scalable, secure AI adoption in a large financial services firm.
Lead AI-driven data platform development, designing scalable systems with LLMs, RAG, and multi-agent frameworks to power enterprise intelligence.
Build and maintain ML infrastructure, data pipelines, and model serving systems to enable faster, reliable AI experimentation and deployment.
Build and maintain enterprise Power BI dashboards, automate financial reporting with Python, and deploy ML models to deliver strategic insights for Wolters Kluwer’s finance and sales teams.
Build and maintain ML and GenAI models for financial clients using Python, prompt engineering, and predictive analytics to solve business problems.
Lead the design and deployment of agentic AI systems for Citi’s banking operations, using Python, Google ADK, LangChain, and LLMs to automate workflows and reduce risk.
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