To design, develop, and deploy advanced AI/ML and Generative AI (GenAI) solutions that optimize manufacturing operations in a high-volume drive production environment.
This role focuses on leveraging machine learning, predictive analytics, and automation to improve yield, reduce downtime, and enable smart factory capabilities aligned with Industry 4.0 principles.
Build and implement machine learning models for predictive maintenance, anomaly detection, and process optimization.
...
To design, develop, and deploy advanced AI/ML and Generative AI (GenAI) solutions that optimize manufacturing operations in a high-volume drive production environment.
This role focuses on leveraging machine learning, predictive analytics, and automation to improve yield, reduce downtime, and enable smart factory capabilities aligned with Industry 4.0 principles.
Build and implement machine learning models for predictive maintenance, anomaly detection, and process optimization.
...
Participate in research of advanced intelligent video processing algorithms using state-of-the-art recognition technologies for multimedia and communication applications
Participate in research of advanced intelligent video processing algorithms using state-of-the-art recognition technologies for multimedia and communication applications
Research in intelligent video processing, computer vision, pattern recognition or machine learning for applications like object detection/tracking, event recognition, video analysis, etc.
...
We are looking for a Senior Applied AI Engineer to design and develop practical AI solutions for enterprise clients.
The role focuses on building production-ready AI applications using large language models, RAG, AI agents and workflow automation, and integrating these capabilities into existing enterprise systems.
Design and develop enterprise AI applications using large language models.
...
You will design, optimise, and maintain large-scale distributed training systems for video generation foundation models. This includes implementing and improving training strategies such as FSDP, tensor parallelism, context parallelism, and Ulysses-style sequence parallelism, with a strong focus on improving throughput, scaling efficiency, and MFU.
You will build and optimise PB-scale video data pipelines, including NVDEC-based video decoding, VAE latent caching, variable-resolution bucket sampling, and efficient data loading for high-throughput model training.
You will work on memory and performance optimisation across the training stack, including FlashAttention, FP8 mixed precision, Triton kernels, CUDA-aware profiling, activation checkpointing strategies, and communication-computation overlap.
...
Work with clients to define software development scope, requirements and design specifications, and follow through from development to implementation.
Work with third-party developers to define requirements, monitor development progress, conduct sandbox testing and support deployment into live client environments.
Develop, troubleshoot, optimise and enhance intelligent video surveillance software.
...
Technical Strategy: Define the AIGC roadmap across pre-training and post-training workstreams — from distributed training infrastructure to alignment, evaluation, and inference deployment.
Pre-training & Infrastructure: Oversee the design of distributed training toolchains for ultra-large-scale AIGC models. Drive system-level optimization across computation, communication, and storage layers. Ensure training stability and efficiency at scale.
Post-training & Alignment: Guide architecture design for video generation post-training — including high-quality instruction data curation, preference alignment (RLHF, DPO, GRPO, PPO), and video quality enhancement pipelines.
...