Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Train, evaluate, deploy and monitor computer vision models (detection, classification, tracking) in Singapore, using Python and deep learning frameworks like PyTorch or TensorFlow.
Duties and Responsibilities: Develop and maintain Computer Vision services, APIs, configuration and error handling. Package services and models for controlled deployment, versioning and rollback. Build and maintain…
At the National Robotics Engineering Center (NREC), it is our engineers and technicians who drive the breakthroughs that define our success. The members of our technical staff collaborate closely with leadership and…
Senior Staff ML Engineer building and scaling ML infrastructure for LLM training, evaluation, and deployment at Moveworks (ServiceNow), working with PyTorch, vLLM, TensorRT-LLM, Python, and C++/GoLang.
Build and maintain ML pipelines that convert and deploy autonomous-truck models to edge hardware, ensuring latency and accuracy meet safety-critical requirements.
Research and implement hardware-aware neural network optimization techniques (quantization, pruning, NAS) and optimize ML inference pipelines and compilers/runtimes (TVM, MLIR, TensorRT, ONNX Runtime) for edge devices at Huawei's Software-Hardware System Optimization Lab in Edmonton.
Build and validate ML models for RF sensing and wireless communications systems, optimizing training and inference pipelines with DSP and deep learning techniques (PyTorch/TensorFlow, Python).
Take the next step in your career with Solerity. As a recognized leader in providing Information Technology, Engineering Services, Program Management, and Consulting Services to the U.S. Federal Government and…
Senior AI/backend engineer builds and scales Python-based FastAPI services, RAG pipelines, and LLM agent systems on AWS/Azure, with cloud-native tooling and security best practices.
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9…
Staff ML Engineer (Ops/Release) responsible for owning release gates across complex model training phases, ensuring quality/safety standards, and driving improvements in ML delivery pipelines using PyTorch, TensorRT, GitHub Actions, and MLOps tooling.
Optimize and deploy ML models for embedded automotive autonomy, balancing model quality with hardware efficiency using quantization, mixed-precision, and hardware-aware techniques.
Build and optimize large-scale ML training and inference pipelines for low-latency trading systems using Python, CUDA, PyTorch/TensorFlow, and GPU acceleration.
The Senior Computer Vision Engineer will design and optimize real-time detection and tracking algorithms using C++ and Python for edge AI systems. The role involves deploying models to production environments and collaborating with engineering teams to solve complex perception challenges.
The AI Embedded Engineer IV integrates AI models onto autonomous vehicle hardware, managing the deployment, optimization, and real-time performance of robotics software. This role balances software development in C++ and Python with hands-on hardware tasks like sensor integration, wiring, and field testing.
The Lead AI Engineer will design and deploy production-grade computer vision and speech processing pipelines for Digital Green's multilingual agricultural advisory platform, FarmerChat. This role involves building optimized inference systems, defining evaluation frameworks, and mentoring junior engineers to support smallholder farmers globally.
GPU Systems Engineer - Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic…
The Machine Learning Infrastructure Engineer will design and maintain high-performance inference platforms for large machine learning models, focusing on systems engineering tasks like request routing, autoscaling, and GPU optimization. The role requires expertise in Python, systems programming languages, and production-grade AI serving frameworks.
Optimize LLM/VLM inference performance on NVIDIA GPUs—profiling workloads, building/tuning CUDA kernels, and improving open-source inference engines like TensorRT-LLM and vLLM.
Design, build, and operate high-performance ML inference platforms for LLMs, vision, and recommendation models, focusing on GPU optimization, autoscaling, caching, and observability using Python, Go/Rust/C++, Kubernetes, and frameworks like vLLM and TensorRT-LLM.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
