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Build and deploy production-grade AI/ML models (LLMs, NLP, CV, forecasting) to solve complex business problems, using Python, TensorFlow/PyTorch, and cloud ML platforms.
Builds and deploys AI agents for enterprise workflows, focusing on prompt/context engineering, RAG pipelines, and production integration with APIs/ERP systems using Python, OpenAI/Azure APIs, and tools like LangChain.
Lead a team to design, prototype, and deploy generative AI and NLP solutions (LLMs, chatbots) that solve real healthcare business problems, bridging technical execution with strategic business goals.
Build and maintain the full stack of an AI-powered document intelligence platform, integrating LLMs, backend services, and frontend features while collaborating closely with the CTO.
Senior Search Engine Backend Engineer We are looking for a talented and experienced Senior Search Engine Engineer to join our core technology team. You will be responsible for the design, development, and optimization…
Senior Machine Learning Engineer (AI Agent) We're hiring a Senior NLP Engineer to own the accuracy of our information-extraction pipeline. You'll work on hard problems extracting material properties and…
Build and deploy AI/ML models for vision, audio, and language tasks using PyTorch/TensorFlow and cloud MLOps tools.
Build and tune predictive models in Python, create dashboards, and perform statistical analysis for client projects.
Build and fine-tune NLP/LLM models for client projects, crafting pipelines and deploying production-ready AI features using PyTorch, LangChain, and vector databases.
Build and deploy ML models, analyze datasets, and deliver insights for business decisions using Python, stats, and cloud tools in a fully remote role.
Build and optimize generative AI models using PyTorch, Hugging Face, and LangChain, then ship applications that leverage LLMs to support business decisions.
Lead AI/ML teams to build, deploy, and govern production-grade generative and agentic AI systems using LLMs, RAG, and orchestration tools.
Senior Data Engineer designs and builds scalable Microsoft Fabric/Azure data platforms for global clients, focusing on Lakehouse architectures, pipelines, and governance to enable analytics and AI.
Senior Learning Data Scientist building AI-driven analytics, predictive models, and dashboards to optimize training and certification programs using Python, TensorFlow, and Power BI.
Builds and deploys AI systems using Python, RAG, and NLP to power generative AI solutions for clients, working on-site in Amsterdam.
Build and deploy AI/ML models for JPMorgan’s Business Banking, focusing on Gen AI, NLP, and LLM-driven validation and campaign workflows.
Builds and deploys AI/ML models (anomaly detection, predictive modeling, generative AI) to extract insights from Swift’s financial transaction data, driving strategic and customer-facing innovations in global payments.
About ChronoAI ChronoAI is an advanced AI technology company specializing in human-centric artificial intelligence solutions. We combine cutting-edge natural language processing with personalized analysis frameworks to…
Build and deploy NLP classification models for customer communications using Python, PySpark, and SQL, focusing on intent, topic, sentiment, and multi-label classification.
Design and refine prompts to steer large language models for enterprise use cases like support, content, and operations, collaborating with AI teams to integrate and test them.
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