科技職缺
職缺列表
Senior LLM/RAG Engineer
This is a PRE-SALE ACTIVITY. Preferably to be arranged free of charge Position name: Technical Consultant — LLM/RAG Architecture Level: Senior / Principal / Architect Hard skills requirements (including years):…
Tax Manager - Mutual Funds
Are you a leader, passionate about financial products and understand regulated investment companies, Subchapter M, section 4982 excise calculations, and tax compliance.? If this is music to your ears, and you love a…
Ai Engineer
AI Engineer role driving the design, architecture, and implementation of AI solutions and systems, collaborating with product and technical teams to integrate emerging technologies. Core stack spans GCP, LLMs, RAG, RESTful APIs, OCR, and Generative AI.
senior machine learning
Freelance senior machine learning role focused on implementing scoped ML sub-features and pipelines under mentor review, with hands-on work in TensorRT-LLM, Keras, and AWS-based deployment.
Conversational AI Engineer
Remote conversational AI engineer building and maintaining AI-driven chatbots and dialogue systems, applying NLP, GenAI, and LLM techniques while partnering with ML teams and advising customers on best practices and demos.
AI Engineer
Remote freelance AI Engineer building ML and GenAI-powered applications (chatbots, dialogue systems, LLM/agentic workflows). Day-to-day work spans Python/JS development, model lifecycle (training, deployment, REST scoring), and cloud (AWS/Azure/GCP).
Senior Enterprise AI Architect
Senior architect designing and governing enterprise AI solutions, leading delivery strategy, architecture, and governance across remote teams using LLMs, RAG, multi-agent systems, and Model Context Protocol on AWS, Azure, and GCP.
Lead AI/ML Engineer
Lead AI/ML Engineer defining multi-year technical strategy and architecting mission-critical AI/ML systems for millions of users while mentoring teams and partnering with C-level leadership. Core stack spans Python, PyTorch, TensorFlow, LLMs/GenAI, RAG, and NLP on AWS/GCP/Azure with Kubernetes, Docker, and MLOps/DevOps.
GenAI Developer
Remote freelance GenAI developer building applications that leverage large generative models for content creation, transformation, and analysis (chatbots, content generators, semantic search). Core stack: Python, deep learning, LLMs, LangChain, and cloud architecture.
Lead AI Engineer
Lead AI Engineer at Expertshub.ai architects and delivers end-to-end AI solutions across classical ML, deep learning, LLMs, and multimodal systems using Python, PyTorch/TensorFlow/JAX, while mentoring an AI/ML team and owning MLOps and production deployment on AWS/Azure/GCP.
Data Scientist
Data Scientist with 4-6 years of IT experience based in Pune, working on complex datasets to build predictive models and LLM-driven AI solutions for retail and quick commerce clients, while mentoring junior team members.
AI/ML Engineer
Build and deploy intelligent AI/ML applications using Snowflake Cortex, LLM APIs, and Python frameworks. Responsibilities include developing ML pipelines, RAG/agentic AI systems, vector search with FAISS, Streamlit apps, and real-time streaming data integrations.
GenAI Developer
Designs and develops production-ready GenAI integrations and connectors for Microsoft Copilot, Google Gemini, Claude, and OpenAI. The role uses Python, APIs, MCP, LLMs, multi-agent systems, agent communication protocols, and AI orchestration tools.
AI/ML Lead Engineer
Remote AI/ML Lead Engineer driving the full ML lifecycle for banking clients, building LLM and agentic AI solutions on Gemini and Amazon Bedrock with strong MLOps practices.
Senior Ai Engineer
Senior AI engineer building conversational AI systems, chatbots, and LLM applications using AWS Bedrock/Azure OpenAI, LangChain, LangGraph, LlamaIndex, RAG, and agent orchestration in Python on AWS/Azure.
Sr. Ai/ml Engineer
Sr. AI/ML Engineer designing and optimizing LLM-based solutions through prompt engineering and experimentation. Day-to-day work involves Python development, managing Jupyter sandbox environments, building CI/CD pipelines, and working with AWS (including Bedrock) cloud infrastructure and Infrastructure-as-Code tools.