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Build and optimize large-scale data pipelines on Databricks and PySpark, then extend them with LLM evaluation, vector search, and ML model pipelines for AI-powered analytics.
Build and extend an offline, edge AI data-triage app in Python/Flask with local LLM models, vector stores, and a browser UI for document processing and search.
Design autonomous network solutions for telecoms using AI frameworks (Vertex AI, LangGraph), APIs, and vector databases to optimize agentic systems and reduce inference costs.
Build LLM-based agents and RAG systems for autonomous network operations, integrating fault diagnosis, predictive analytics, and closed-loop decision support using Python, LangChain, vector/graph databases, and Kubernetes.
Lead the design and development of enterprise AI solutions using Python, RAG, Agentic AI, and LLMs, while engineering enterprise data pipelines and integrating AI into production.
Senior AI consultant designs and iterates LLM prompts, prototypes AI copilots, and builds RAG-based solutions using Python, LangChain, and vector databases for enterprise use cases.
Leads AI initiatives, designs and iterates prompts for enterprise copilots and low-code tools, and prototypes generative AI solutions using Python, LangChain, and vector databases.
Build and deploy generative AI models and autonomous agents to optimize logistics workflows using LLMs, RAG, and vector databases.
Lead AI Engineer builds and architects AI-driven solutions, prototypes with LLMs and GenAI frameworks, and sets engineering standards for scalable, secure, and cost-efficient AI applications.
Build and deploy AI-powered healthcare tools using LLMs and multi-agent systems to improve senior care access and quality.
Build and own AI agent infrastructure and automation systems that connect LLMs to internal tools and data, enabling self-service workflows for marketing and sales teams using Python, JavaScript, and GCP serverless services.
L’IA chez Smile, ce n’est pas un buzzword : c’est une pratique. Des modèles et des cas d’usage ouverts, performants et durables, pensés pour passer en production — pas des PoC qui finissent au tiroir. On bâtit sur des…
Builds and maintains microservices in .NET 8 and ReactJS on Azure Kubernetes, and develops an enterprise multi-agent RAG chatbot using LangChain, LangGraph, Azure OpenAI, and ChromaDB.
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.
Maintain and update Udacity’s AI/Generative AI courses by debugging Python exercises, updating LLM frameworks (LangChain, LlamaIndex), and ensuring workspaces and cloud labs stay current with the latest tools and APIs.
Build and deploy AI models: clean datasets, train neural networks, convert models to APIs, and integrate them into apps and cloud systems.
Designs autonomous network solutions for mobile/fixed telecoms using AI frameworks (Vertex AI, LangGraph), network programmability, and agentic systems to optimize performance and cost.
Build and deploy AI-powered NLP/LLM features for a SaaS quality-management platform used by global contact centers, working with Python, Hugging Face, and AWS.
Build and deploy AI-powered applications using LLMs, vector databases, and AI orchestration frameworks like LangChain or Semantic Kernel.
Build and deploy LLM/NLP models using Hugging Face, LangChain, and cloud AI services; implement RAG pipelines and vector search for AI-driven chatbots and Q&A systems.
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