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Build and deploy AI-powered healthcare solutions using LLMs, RAG, and Azure services to automate document processing and enhance clinical insights for payors and providers.
Build production-grade AI architecture blueprints and open-source Quickstarts with Python, PyTorch, and Kubernetes, focusing on enterprise deployment, security, and regulated environments.
Build AI-powered multi-agent systems and full-stack applications using Node.js, React, and TypeScript, integrating LLMs, vector databases, and observability tools like Langfuse for agentic workflows and dashboards.
Builds and deploys AI/ML and generative solutions using Python, TensorFlow, and Azure AI, including agentic apps, RAG chatbots, and document-processing systems.
Design and deploy AI-powered applications, agents, and automation solutions on Azure to improve efficiency and customer experiences in carbon management.
Build and deploy production-grade agentic AI systems for regulated enterprises like banks and insurers, integrating multi-agent orchestration, RAG pipelines, and MCP servers on AWS.
Salary: From 113587 to 122957 AUD per year Job description: Role Type: Full-time Two Years contract Salary: Commensurate with experience The opportunity: At MCRI, we're investing in the future of computational…
Designs and advises on agentic AI solutions using Amazon WorkSpaces, guiding customers through adoption and technical implementation.
Build production-ready card-issuing features for a global fintech platform, including APIs, spend controls, and transaction systems, using Python and AI-driven automation.
Build and deploy production-grade generative AI applications using Python, LLMs, and libraries like Transformers, LangChain, and Hugging Face.
Lead AI engineering at Deloitte, setting vision and standards for GenAI and agentic systems integrated into enterprise products while coding, mentoring teams, and driving cost-aware, secure, and scalable AI solutions.
Lead engineering vision for Deloitte’s Applied AI platforms, designing GenAI and agentic capabilities into enterprise products while coding, mentoring teams, and setting standards for scalable, secure AI systems.
Lead engineering vision for Deloitte’s Applied AI products, defining GenAI and agentic capabilities, setting standards, and coding while mentoring teams to deliver scalable AI solutions.
Lead engineering vision for Deloitte’s Applied AI products, defining GenAI and agentic capabilities, setting standards, and coding while mentoring teams to deliver scalable, secure AI solutions.
Build and deploy computer vision and generative AI models for retail applications like visual search, personalized recommendations, and fraud detection using PyTorch, diffusion models, and multimodal systems.
Build and lead Mercor’s code-search systems: hybrid retrieval (dense embeddings + BM25) that routes coding tasks to the right models and turns natural-language questions into precise code retrieval at scale.
Build and deploy ML models end-to-end: train, optimize, and package solutions while setting up MLOps pipelines, monitoring, and data governance for production AI systems.
Build and deploy GenAI and agentic AI systems for pharma clients using Microsoft Copilot Studio, ChatGPT Enterprise, and AWS Bedrock, integrating structured and unstructured data pipelines.
Build and deploy AI/ML models, NLP, and LLM solutions to extract insights from unstructured data and support business decisions using Python, cloud platforms, and vector databases.
Lead AI architecture for secure, scalable financial products, defining patterns for agentic workflows, MLOps, and production-ready AI systems at a global bank.
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