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Build and optimize Python-based backend and AI systems for a fintech startup, applying LLMs and RAG pipelines to financial data to deliver real-time insights for asset owners.
Build and deploy generative AI models (LLMs, multimodal) using Azure Databricks, Hugging Face, and LangChain for content personalization, automation, and semantic analysis.
Build and scale enterprise-grade ML and GenAI platforms, hardening research code into production services, and enabling hundreds of practitioners to deploy and monitor models securely and cost-effectively.
The Data Center team designs and operates some of the most sophisticated electrical engineering, mechanical engineering and HVAC systems in the world. Facilities Technicians at Google data centers operate, monitor and…
Build and productionize generative AI models and LLM-driven applications using PyTorch, RAG pipelines, and vector databases, while engineering robust MLOps and data pipelines in Python.
Lead a team of senior developers, set architecture for large-scale projects, and integrate AI/ML into government-focused systems using Python, React, cloud platforms, and modern AI frameworks.
Builds and tests LLM-based algorithms to generate questions, answers, and summaries for Rambler’s media portals, using RAG pipelines, prompt engineering, and vector search.
Lead ML engineering for edge AI that monitors vehicle health in real time, building pipelines to train and deploy models on constrained in-vehicle devices.
Principal Data Scientist builds and evaluates Elastic’s conversational AI platform, improving RAG, agent routing, and retrieval quality for grounded, reliable answers from Elasticsearch data.
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 scale real-time AI systems for crypto market intelligence, using LLMs, RAG, and streaming pipelines to turn social signals into actionable trading insights.
Lead the design and deployment of advanced LLM-driven agentic AI systems for enterprise workflows, setting technical standards and mentoring teams to build robust, autonomous AI co-workers at scale.
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 AI-driven cybersecurity tools using LLMs and Python to automate threat detection, vulnerability analysis, and compliance workflows for connected devices.
Build and deploy ML models to forecast commodity flows and detect anomalies using geospatial and maritime data, working end-to-end from prototyping to production on AWS.
Builds and scales an AI-driven platform that ingests enterprise data, maps workflows, and automates complex processes using Python, JavaScript, and cloud-native tools.
Build and deploy ML models (churn, pricing, fraud) and LLM-based agents on AWS SageMaker to automate insurance workflows and support data-driven decisions across the business.
Staff Data Scientist at Mozn builds and deploys NLP models and AI strategies to extract insights from large datasets, collaborating with leadership and engineering to drive data-driven decisions.
Build and optimize LLM and RAG systems for SaaS platforms, integrating AI-driven features like automated due diligence and document analysis using Python, SQL, and Transformers.
Part-time coach teaching Python, AI, and robotics to students using PyTorch/TensorFlow and hands-on hardware projects in an edtech startup.
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