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Build and own a large-scale Web3 big data platform that ingests on-chain transactions, trading behavior, and user profiles, then layer AI/ML tools for fraud detection, risk modeling, and natural-language data querying.
Build and optimize speech AI models (ASR, diarization) and pipelines, deploy ML services, and improve accuracy/latency for production systems.
Build and optimize LLM-based trading tools like Q&A systems and agents using Python, prompt engineering, and transformer models for a crypto derivatives exchange.
Lead enterprise AI adoption by designing governance frameworks, productivity KPIs, and automated acceptance platforms to evaluate and scale AI solutions across finance and operations.
Build and deploy scalable speech AI systems, training and optimizing ASR, diarization, and analytics models using PyTorch and modern ML toolkits.
Deploys and maintains AI/ML models, builds data pipelines, and integrates solutions using Python, TensorFlow/PyTorch, and cloud AI services.
Build and deploy deep-learning NLP models, fine-tune LLMs, and implement RAG and agentic AI systems while maintaining MLOps pipelines.
Build predictive models and dashboards to drive data-driven decisions for a global operations team, using SQL, Python, and visualization tools.
Senior ML Engineer builds and deploys transformer-based NLP models to auto-score exam answers, owning the full lifecycle from training to cloud deployment and bias mitigation.
Builds full-stack AI applications using GenAI models, cloud services, and modern web tech to create conversational interfaces, admin portals, and AI orchestration pipelines.
Builds and deploys AI-powered applications using LLMs, RAG, and agentic AI; integrates with cloud services and vector databases.
Build AI-powered agents and RAG applications using vector databases and orchestration frameworks to automate tasks and deliver data-driven insights for commodity markets.
Build and deploy machine-learning models to automate decisions and insights for a global BPO provider, using Python, TensorFlow/PyTorch, and cloud platforms.
Designs and deploys ML models for localization workflows using Python, TensorFlow, and AWS services; owns projects from conception to production.
Build and deploy AI/ML models to automate business processes and generate insights from ERP data using frameworks like TensorFlow or PyTorch.
Builds and deploys AI/ML solutions in Python, focusing on LLMs for automated, data-driven business processes and scalable backend services.
Build and deploy AI/ML models, especially LLMs, to power data-driven business decisions using Python and cloud services.
Senior AI scientist building and deploying ML models for public-health and forensic research, mentoring teams, and publishing findings to drive national impact.
Senior AI scientist building public-health and forensic data-science solutions using ML/AI, publishing research, and mentoring teams in Python/R and cloud platforms.
Build production-grade ML systems to detect retail crime patterns using computer vision, NLP, and graph analytics, deploying models on a cloud-native stack to power real-time alerts for global retailers.
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