位于广州市天河区的 7 个优质data engineer职位（正在招聘！）

AI Engineer
DBS Bank —广州市
- 全职
Senior Consultant Specialist
HSBC Global Services Limited —广州市
- 全职
10天
Production Intern Job
Arkema B.V. —广州市
- 实习
Manager
Deloitte —广州市
Lead, AI Platform- AI Factory
Standard Chartered —广州市
FAE - MCU - Guangzhou
Texas Instruments —广州市
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Arkema B.V. —广州市

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SENIOR SOFTWARE ENGINEER
HSBC Global Services Limited —广州市
Platform engineering: Design, build, and operate core MLOps platform capabilities across GCP and on-prem Kubernetes (multi-environment, multi-tenant where…
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AI Engineer

DBS Bank -
广州市

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职位详情

全职

完整职位描述

Role Overview
We are seeking a versatile AI Engineer to lead the development of high-quality, audio-driven digital avatars. This role combines cutting-edge Generative AI with foundational Machine Learning to create responsive, identity-consistent virtual humans. You will bridge the gap between "brain" and "body" by integrating RAG-based agents with multimodal synthesis models (ViT/VLM) to build avatars that don't just look real—they interact intelligently.

Core Responsibilities

Multimodal Synthesis: Develop SOTA audio-to-video pipelines using Vision Transformers (ViT) and VLMs to drive lip-sync, micro-expressions, and head poses.
Intelligent Interaction: Architect RAG (Retrieval-Augmented Generation) systems using LangChain and AI Agents to provide avatars with a searchable knowledge base and autonomous reasoning capabilities.
Customized Avatar Generation: Build person-specific fine-tuning workflows ( LoRA , Adapters ) to ensure 1:1 identity preservation from minimal reference footage.
Hybrid Modeling: Apply a mix of Deep Learning (CNNs for texture, RNN/LSTM for temporal audio sequences) and Classical ML (XGBoost/Random Forest for metadata classification or signal gating).
End-to-End Optimization: Own the pipeline from raw audio/text input to real-time rendered output, ensuring low-latency performance on GPU clusters.

Required Technical Stack

Generative AI & Agents:
- Frameworks: Mastery of LangChain or LlamaIndex for building RAG pipelines.
- Agents: Experience deploying autonomous agents to handle multi-step reasoning tasks.
Computer Vision & Multimodal:
- Architectures: Deep expertise in ViT (feature encoding) and VLM (CLIP/BLIP for alignment).
- Deep Learning: Hands-on experience with CNNs (spatial features), RNNs/LSTMs (temporal audio-visual sync), and GANs/Diffusion .
Core Machine Learning:
- Algorithms: Proficiency in Random Forest , XGBoost , and SVMs for auxiliary data tasks (e.g., emotion classification or quality gating).
- Frameworks: PyTorch (primary), TensorFlow , and Scikit-learn .
Data & Infrastructure:
- Vector DBs: Experience with Pinecone, Milvus, or Weaviate for RAG storage.
- Tools: FFmpeg for video processing and NVIDIA DeepStream for deployment.

Qualifications

Experience: 5+ years in Data Science with a focus on Multimodal ML or Digital Humans.
Education: Master’s or PhD in CS, AI, or a related quantitative field.
Problem Solving: Proven ability to solve the "uncanny valley" through superior temporal consistency and identity-aware fine-tuning.

Location:

Guangzhou (DTC)

Job:

Data Technology

Schedule:

Regular

Employee Status:

Full time

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AI Engineer

Senior Consultant Specialist

Production Intern Job

Manager

Lead, AI Platform- AI Factory

FAE - MCU - Guangzhou

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在广州市 天河区的data engineer个职位

Senior Consultant Specialist

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Manager

Lead, AI Platform- AI Factory

FAE - MCU - Guangzhou

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