科技職缺
職缺列表
Ai/ml Engineer
A freelance remote AI/ML engineer develops and deploys large-scale systems for intelligent automation, predictive analytics, NLP, and generative AI, using Python, deep-learning frameworks, data engineering, and MLOps across AWS and other cloud platforms.
Ai/ml Engineer
Freelance AI/ML Engineer role focused on building a large-scale AI/ML platform with LLM, RAG, NLP, and generative AI capabilities. Day-to-day work involves data engineering, model development, deployment, MLOps, and system optimization using Python, TensorFlow, Scikit-learn, and AWS in a remote setting.
Voice AI Engineer
Builds and owns a production real-time voice AI platform, tuning ASR/LLM/TTS pipelines, WebRTC/SIP telephony, and orchestration frameworks like Pipecat or LiveKit Agents for client deployments end-to-end.
Staff Software Engineer, AI Solutions & Platforms
Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description About the Role At Thermo Fisher Scientific, you’ll do meaningful work that makes a positive global impact. Join our colleagues in…
Lead AI/ML Engineer, Applied AI
Hands-on technical lead architecting and deploying AI/ML, LLM, RAG, and agentic AI solutions for life sciences, genomics, materials science, and healthcare. Core stack: Python, PyTorch, LangChain/LangGraph, Azure OpenAI, plus mentorship of an engineering team.
Software Engineer II, AI Solutions & Platforms
Hands-on software engineer designing and shipping production-grade Generative AI and backend systems (RAG pipelines, agentic workflows, REST APIs) using Python, FastAPI, LangChain/LangGraph, and Azure/OpenAI/Anthropic LLM integrations at Thermo Fisher Scientific in Bangalore.
Senior AI Engineer
Senior AI Engineer designing and deploying enterprise-scale Generative AI and Machine Learning solutions on AWS, including LLM-powered applications, RAG architectures, and AI Agents, with a focus on MLOps/LLMOps practices and cloud-native services.
Full Stack AI Engineer
Designs and builds scalable full-stack applications (React.js, TypeScript, Node.js) while engineering AI/LLM systems including RAG pipelines, agents, evaluation suites, and observability guardrails for a Singapore-based software development company serving global clients.
Software engineer
Designs and ships complex software systems plus GenAI applications (LLMs, RAG, vector databases, LangChain/LlamaIndex) on BP's technology team, using Python/Java/C++/C# on cloud platforms with end-to-end CI/CD pipelines.
Generative AI and Machine Learning Developer
Intermediate analyst on Citi's TTS Analytics team building and shipping production-grade Generative AI and deep learning solutions—including LLMs, RAG, prompt engineering, and fine-tuning—to solve client-experience and revenue problems using big-data tools in financial services.
Generative AI and Machine Learning Developer
Design, build, and ship production-grade Generative AI and deep learning applications for Citi's TTS Analytics team, owning end-to-end delivery of LLM-powered products with RAG, fine-tuning, evaluation guardrails, and MLOps pipelines using Python, PyTorch/TensorFlow, and the Hugging Face ecosystem.
Applied AI Engineer - BPL
Applied AI Engineer at Barclays' payments acceptance business (BPL), designing and deploying scalable AI/ML and GenAI solutions (LLMs, RAG, MCP, agents) using Python, PyTorch/TensorFlow/scikit-learn on AWS/Azure/GCP, based in London on a 3-day hybrid pattern.
AI Engineer
AI Engineer at Barclays building GenAI-powered full-stack applications with LLMs, RAG, vector stores and agentic workflows, plus cloud-native delivery on Docker/Kubernetes. Day-to-day involves Python or Java backends, React/Angular front-ends, MLOps/LLMOps, and secure enterprise integration within a financial services environment.