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Build and operate the cloud and DevOps infrastructure that powers Ingersoll Rand’s GenAI program, focusing on GCP, Snowflake, CI/CD, and observability for LLM-based applications.
Build and operate the cloud and MLOps infrastructure that powers Ingersoll Rand’s GenAI program, focusing on GCP, Snowflake, CI/CD, and AI observability.
Lead a team building and scaling Fitch’s core data and ratings platform using Java, Python, AWS, and Kafka, while integrating AI/ML to enhance data solutions and developer productivity.
Design and implement enterprise AI systems, including RAG pipelines, LLM standards, and MLOps practices, while mentoring engineers and leading AI adoption proofs of concept.
Builds and scales backend systems in Python, Go, Rust, and WebAssembly, leveraging AWS services and databases like PostgreSQL and MongoDB for a fast-growing platform.
Designs and implements enterprise-scale AI systems, including LLMs, RAG pipelines, and intelligent agents, while setting MLOps and observability standards for a logistics-focused product company.
Build AI/ML-powered features for ClickHouse Cloud, integrating inference APIs and user interfaces to help users extract value from data using TypeScript and React.
Design and build AI-agent workflows, integrating models, memory, and tools; set reliability standards and evaluation tooling for production systems.
Data & AI Architect Senior technical authority for data and AI across CBRE Pacific Design & Connect technical choices to business strategy Hybrid/Sydney CBD | Land of the Gadigal people The Opportunity: CBRE is…
Builds and maintains AI agents and custom software products using Java and Python, leveraging LLMs and vector databases.
Presales role guiding customers on ServiceNow’s AI and data platform solutions, demonstrating features and aligning tech to business needs.
Lead a team to design, build, and deploy AI-powered tax tools using Python, FastAPI, and .NET Core, while managing client relationships and code quality.
Build and deploy AI-powered audience analytics for a large-scale media intelligence platform, using Python, PySpark, Databricks, and modern ML/AI techniques.
Build and maintain AI-powered conversational agents using Google Dialogflow CX and Vertex AI to handle customer travel queries and bookings.
Build and validate agentic AI features for a patent-intelligence platform using NLP, LLMs, and retrieval strategies to power natural-language patent analysis workflows.
Design and own the AI architecture for an agentic patent-intelligence assistant, ensuring scalable, secure LLM-based systems and retrieval workflows aligned with responsible-AI standards.
Build and deploy enterprise-grade GenAI applications using RAG pipelines, document parsing, vector databases, and LLM orchestration in Python.
Build and deploy AI-driven solutions for a financial firm, focusing on GenAI, LLMs, and scalable ML models using Python, C#, and Azure.
Build LLM-based agents and RAG systems for autonomous network operations, integrating fault diagnosis, predictive analytics, and closed-loop decision support using Python, LangChain, and vector/graph databases.
Build AI/ML models and graph analytics for telecom networks to enable autonomous operations, using Python, BigQuery, and KPI engineering.
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