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Build and deploy LLM-based AI systems for an AI-driven recruitment service, including recommendation engines and generative AI pipelines.
Build and deploy AI models using Python, PyTorch/TensorFlow, and frameworks like LangChain and LlamaIndex; package models for production and collaborate on R&D.
Build and deploy generative AI systems (chatbots, image generation) using Python, NLP models (BERT, GPT), and computer vision techniques for business solutions.
Build and train AI models (LLMs, CNNs, generative models) using Python and frameworks like PyTorch/TensorFlow to improve datasets and deploy solutions for real business cases.
Lead AI strategy and build large language models for a healthcare platform, collaborating with regional teams to deploy and scale ML systems end-to-end.
Junior Python/Data Engineer builds Python apps and assists with AI/ML models, LLM deployment, and data preprocessing in a collaborative product team.
Build, optimize, and integrate AI models (CV/NLP) into banking systems using Python, TensorFlow/PyTorch, and MLOps pipelines.
Designs and deploys LLM-powered applications using OpenAI, Azure AI, and Python/TensorFlow pipelines, optimizing models for performance and integrating them into production systems.
Builds and maintains Java-based treasury and investment banking applications using microservices, Spring, and DevOps practices.
Leads ML model development and deployment for governance and analytics solutions using Python, TensorFlow/PyTorch, NLP, CV, and databases.
Build Java-based AI services that integrate Python-trained ML models into enterprise systems, covering model lifecycle, APIs, and scalable pipelines for real-time inference.
Build and optimize scalable backend services using Node.js, Go, and microservices with Kafka, Elasticsearch, and gRPC for AI-driven corporate governance platforms.
You’ll automate and maintain cloud and on-premises infrastructure, deploy Kubernetes clusters, and build CI/CD pipelines for an AI-powered conversational automation platform.
Design, fine-tune, and deploy LLMs to automate business processes in a manufacturing environment, collaborating with cross-functional teams to scale AI solutions into production.
Design and build enterprise-grade conversational AI systems using LLMs, RAG, and prompt engineering, ensuring security and compliance.
Build and ship production-ready AI-powered apps from UI to backend, using NLP, LLMs, RAG, and automation to deliver scalable solutions.
Build and ship production-ready AI-powered applications using Python, React, LLMs, and cloud infrastructure, turning prototypes into scalable tools that teams rely on daily.
Build and deploy ML/AI models (NLP, Computer Vision, LLM) in Python/Java/C for an insurtech client, owning end-to-end projects and presenting results to stakeholders.
Designs and builds ML/NLP models and GenAI solutions to automate workflows and improve business processes for enterprise clients.
Build and deploy AI models using Python, PyTorch, and Hugging Face; develop generative AI and NLP solutions with FastAPI and OpenAI integrations.
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