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Build and deploy AI/ML models, especially LLMs, to automate business processes and power data-driven decisions using Python and cloud services.
Build and deploy AI/ML models, especially LLMs, in Python to power data-driven business decisions and scalable backend services.
Build and deploy AI-powered workflows in Microsoft’s ecosystem (Azure OpenAI, Foundry, AI Search) to automate enterprise processes like HR and finance, using RAG, agentic workflows, and prompt engineering.
Trainee UX/UI engineer learns to design functional AI-powered interfaces for business tools, using Figma, Claude, and front-end basics to solve real problems in finance, HR, and operations.
Lead AI Engineer designs and delivers enterprise-grade AI solutions, including LLM apps, RAG systems, and AI agents, while setting engineering standards and mentoring teams.
Design, build, and optimize AI and Generative AI solutions using Python, Azure OpenAI, LLMs, and RAG pipelines for enterprise automation.
Build and deploy NLP models to extract insights from large legal text datasets, collaborating with engineers and annotators in a startup-like team within a large data company.
Build and deploy production-grade GenAI applications using LLMs, RAG, and agentic workflows integrated with Snowflake, focusing on reliability, observability, and semantic alignment.
Build AI-powered creative tools and intelligent workflows, integrating LLMs and multimodal AI into production systems using Swift, C#, Python, and Azure.
Lead a team to integrate generative AI and LLMs into engineering practices, coach teams on safe AI use, and modernize SDLC with AI-first solutions.
Build and run AWS/Snowflake data pipelines for a global mobility operator, industrializing a new Data Lake and supporting analytics teams with curated datasets.
Design and deploy AI-powered workflows and agents using LLMs and automation tools to automate business processes and improve productivity.
Builds AI-powered workflows and agents using Python, LLM APIs, and tools like n8n or CrewAI to automate business processes and integrate systems.
Build and deploy LLM-based AI systems for government services using RAG, fine-tuning, and prompt engineering with Python, LangChain, and cloud ML services.
Build and scale enterprise-grade web apps and APIs using Node.js, TypeScript, React/Angular, PostgreSQL, and Redis, with AI tools like Copilot to accelerate development.
Build and own TikTok’s search engine using ML, NLP, and multimodal systems to power AI-driven conversational search and personalized results.
Build and lead production-grade conversational AI agents using LLMs, RAG, and guardrails, while owning the full stack and cloud infrastructure in a hands-on leadership role.
Design and build production-grade AI/ML platforms and MLOps pipelines for clients, using Python, cloud (GCP/AWS/Azure), Terraform, and tools like Vertex AI and Kubernetes.
Build and operate an internal AI platform for a fintech company, designing retrieval layers, agent runtimes, and deployment pipelines using Python, FastAPI, and cloud services.
Build and maintain scalable data pipelines and AI systems using Python, SQL, NLP, and LLM technologies to support data-driven decision-making and GenAI solutions.
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