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Build and maintain full-stack apps in Java/Python, integrate AI/LLM features, and automate workflows with RPA while collaborating on UI/UX and DevOps.
Build and deploy NLP models (Transformers, LLMs) for text analysis, RAG, and multi-agent systems on a cloud-native data-processing platform handling 10M events and 10TB daily.
Build and automate AI infrastructure clusters, deploying Kubernetes and optimizing GPU/storage/networking for large-scale AI workloads.
Build AI-powered fraud detection and risk-management models for Wix Payments, turning research into production-grade systems that scale globally.
Build and maintain AI-driven debt collection models using machine learning and reinforcement learning in Python, collaborating with cross-functional teams to deliver measurable business impact.
Build and deploy production-grade LLM and NLP systems that turn multilingual news, economic events and market narratives into real-time, explainable market intelligence for financial institutions.
Build and ship production-grade AI systems—LLM apps, RAG pipelines, and multi-agent workflows—into Nexthink’s cloud platform while defining evaluation, MLOps, and scalable cloud architectures.
Elevate the Future of Global Content with TransPerfect AI TransPerfect is the leading solution provider of AI, Technology, and Data solutions; we are the engine behind the global AI revolution. As we continue to…
Build, deploy, and optimize production AI systems including LLMs and generative AI models, focusing on inference pipelines, performance, and cost efficiency.
Lead architecture and deployment of production AI systems, optimizing inference pipelines and mentoring engineers in a fast-growing company.
Job Description Education and Work Experience Requirements: · 5 to 8 years of experience as Data Scientist or GenAI specialist· 2 to 3 years of experience in Generative AI solution development· Proven track record and…
Education and Work Experience Requirements: · 5 to 8 years of experience as Data Scientist· 2 to 3 years of experience in Generative AI solution development· Strong understanding of AI agent collaboration, negotiation,…
Lead cross-functional tech programs for a global commerce partnership platform, coordinating engineering, product, and design teams using Agile/Scrum to deliver complex initiatives from planning to launch.
AI Engineer at AI Singapore (NTU) to lead AI projects, mentor apprentices, and develop LLM/NLP or computer-vision solutions using Python, MLOps, and cloud platforms.
Builds and maintains a generative-AI cybersecurity platform in Python, integrating RAG, MCP, and prompt engineering to automate threat hunting and improve detection accuracy.
Lead a team to build and deploy large language model applications, fine-tune models, and design RAG systems for mission-critical government use cases.
Build and ship computer-vision models: train, evaluate, wrap in services, and demo via simple web UIs. Core stack: Python, PyTorch, OpenCV, FastAPI/Flask, Docker.
Build and deploy AI models and agents at scale using Python, GCP, and MLOps pipelines to improve JYSK’s operations and customer experiences.
Designs and trains multilingual large language models while ensuring responsible AI behavior and collaborating with product and engineering teams.
Build and deploy production-grade LLM systems, fine-tuning models and orchestrating agentic workflows to solve real-world challenges in energy and infrastructure.
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