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Software Engineer, Cloud Infrastructure (Multiple Seniority Levels)
Build and run AWS-based cloud and ML infrastructure for an AI aviation platform, including LLM endpoints, RAG pipelines, and IoT deployments using CDK/Terraform and LangChain.
Senior MLOps Engineer
Senior MLOps Engineer builds and runs scalable LLM inference and training pipelines, deploys large open-weight models, and maintains a cost-aware multi-provider gateway for production ML services.
Machine Learning Performance Engineer (Inference)
Optimize and deploy ultra-low-latency ML inference pipelines for quantitative trading, tuning GPU/FPGA kernels and memory hierarchies to microsecond-level performance.
Machine Learning Engineer
Build and deploy India’s open healthcare foundation model: train a 30B-parameter MoE on 500B+ Indic-language tokens, then ship fast inference and robust evals for doctors and government use.
AI Infrastructure Engineer
Build and optimize distributed AI training systems, profiling bottlenecks in PyTorch stacks and low-level GPU kernels to speed up model convergence.
Machine Learning Compiler and Systems Engineer
Build and optimize a compiler stack for robotics simulation and AI training, using LLVM, JIT, and GPU codegen to maximize performance.
AI System Architect
Design AI accelerators and chips for ML training/inference, model performance, and hardware-software integration in a cutting-edge Oxfordshire startup.
AI System Architect
Design the hardware and software stack that powers Lumai’s optical AI accelerator, ensuring it meets the compute and memory demands of modern transformer models and other AI workloads.
AI / Machine Learning Engineer
Build, evaluate, and deploy ML systems (PyTorch/TensorFlow) and LLMs in production using FastAPI/Triton/Ray, with MLOps and applied research responsibilities.
Principal Software Architect
Principal Software Architect defines the software architecture for Graphcore’s ML accelerator stack, ensuring coherence from firmware to ML frameworks while balancing performance, reliability, and future scalability.
Senior AI Engineer
Build and deploy small/large language models to optimize telecom radio networks, including RAG pipelines, fine-tuning, hallucination mitigation, and AI agent workflows in a private-cloud environment.
Senior Machine Learning Research Engineer
Build and scale generative and predictive ML models for cellular behavior using PyTorch and distributed training, bridging research prototypes to production-grade systems in a TechBio company.
DL Performance Software Engineer - LLM Inference
Build and optimize high-performance LLM inference systems using CUDA, vLLM, and GPU kernels to maximize serving efficiency for large-scale AI models.
Senior AI Engineer
Build and deploy AI agents for fintech workflows (risk, fraud, payments) and the platform that powers them, including orchestration, tooling, and safety guardrails.
Principal AI/ML Architect
Principal AI/ML Architect designs and advises on production ML systems, MLOps/LLMOps pipelines, and GenAI architectures on AWS for enterprise clients, translating technical depth into business value.
DevSecOps Engineer
Builds and secures cloud infrastructure and AI pipelines for a YC-backed fintech startup, focusing on AWS, Kubernetes, and SOC2 compliance while optimizing GPU workloads for real-time voice AI.
Ai platform engineer
Build and operate modern developer platforms, including AI/ML infrastructure like GPU clusters and model-serving pipelines, while advising clients on AI readiness and best practices.
Member of Technical Staff, ML Inference Engineering
About the Role Sanas is bringing real-time speech and language models on-premise — deployed at scale directly inside sovereign data centers, not served from behind a hosted cloud endpoint. It's one of the most…
AI Platform Engineer (Cloud) - KE
Build and run Absa’s multi-cloud AI platform, deploying and scaling services on AWS Bedrock, Databricks, Azure AI Foundry, Hugging Face, and Kubernetes to power enterprise AI use cases across the bank.