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Job Title: AI Engineer – ML Infrastructure
Location: Singapore
Compensation: $200k – $400k + bonus
A top-tier proprietary trading firm is hiring an AI Engineer to join its ML Infrastructure team. This group sits at the core of the firm's next-generation trading platform, building the systems that enable large-scale model training and ultra-low latency inference across live markets
.
This is a high-impact role at the intersection of low-latency engineering and machine learning, working directly with quant researchers and ML practitioners to productionise models in one of the most performance-critical environments globall
y.
Responsibilit
orm
Requirem
sing
This is an opportunity to work on cutting-edge ML-driven trading systems with direct impact, within a highly technical and well-resourced environ
ment.
Apply now for a confidential discu
Job ID: 149139125
Skills:
Python, Distributed Systems, ROS2, swarm intelligence, SLAM, Real-time Systems, Control Systems, Motion Planning, Distributed Data Fusion, Localization
Skills:
High Availability, Typescript, Javascript, Kotlin, Python, large-scale software systems, MLOps practices, LLMs, high-quality maintainable code, high load, high concurrency
Skills:
multithreading, Opencl, Hpc, Cuda, memory optimization, simd, NPU optimization
Skills:
data engineering , preprocessing , Api Integration, Sql, Javascript, Python, Data Analysis, Generative AI, data pipelines, model training, cloud platforms, vector databases, Azure OpenAI, Azure AI Services, SAP AI capabilities, model interaction, embedding, AI pipelines, data ingestion, output validation, Large Language Models
Skills:
Jax, Deep Learning, Tensorflow, Pytorch, Spark, memory efficiency, GPU optimization, DPO, ORPO, RLHF pipelines, Ray, LLM inference frameworks, Megatron, Apache Arrow, ppo, distributed training frameworks, transformer architectures, quantization, training or fine-tuning large models, TensorRT-LLM, FasterTransformer, DeepSpeed, ZeRO, vLLM, large-scale data processing, mixed precision, FSDP
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