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Enabler for smaller, more powerful, and energy-efficient microchips Working for tomorrow today. Around 80 percent of all microchips worldwide are produced using ZEISS technologies. As the centerpiece of every…
Remote senior mobile engineer role at AIKIT building a companion iOS/Android app for RayBan Meta smart glasses via Meta's Glasses SDK, spanning realtime audio/video capture and streaming, Bluetooth/WiFi transport, on-device ML, and cloud multimodal AI (LLM/ASR/TTS) in voice-first, hands-free experiences.
Physical AI Engineer at 7RD builds drone perception and autonomy software end to end: training YOLO vision models, optimizing them for embedded hardware, reinforcement learning, planning/obstacle-avoidance, Yocto-based deployment, and SIL/HIL simulation testing. Core stack: Python, C++, PyTorch, embedded Linux.
Generative AI engineer at consulting firm Thoucentric (Bengaluru): architect, fine-tune, and deploy LLM solutions for clients — building RAG pipelines, LangChain/LlamaIndex apps, MLOps, and GPU-optimized inference. Requires 5+ years in ML/DL with 2+ years in GenAI, strong Python (PyTorch/TensorFlow), and cloud AI platforms.
Senior AI/ML engineer in New Delhi building production machine learning for a health-tech system: classical ML models (XGBoost, ensembles, time-series) over radar signal and point-cloud data for fall detection and health risk scoring, with Databricks pipelines, model evaluation, and production deployment/monitoring.
Leads and builds GPU-accelerated computer vision and AI solutions for contactless passenger experiences at Emirates airline in Dubai — owning CV systems end-to-end across airport environments, with hands-on work in Python/C++, NVIDIA tools (TensorRT, DeepStream, CUDA), real-time video analytics, plus mentoring engineers.
Senior Data Scientist at Peec AI (Berlin) trains, tests, and ships ML models end-to-end and builds data pipelines that power recommendations helping brands improve their visibility in AI search (ChatGPT, Claude, Gemini). Core stack: Python, SQL, PyTorch/TensorFlow/HuggingFace, LLMs, GCP, FastAPI, Docker.
Machine learning engineer at education-technology company Cambium Assessment who bridges research and production: converting ML prototypes into scalable, low-latency scoring systems using PyTorch-to-ONNX optimization and deploying on AWS (ECS, Lambda, SageMaker) with CI/CD and MLOps best practices.
ML deployment engineer for a federal contractor: moves video, image, speech, and text analytics (VISTA) models from research prototype to production inference services, building CI/CD and packaging around Python on NVIDIA Triton with TensorRT and Kubernetes. Hybrid role in Laurel, MD; requires TS/SCI clearance with polygraph.
Senior systems engineer at Intel optimizing AI inference (LLMs, generative AI) on Intel GPUs — driving performance work across GPU kernels, compilers, runtimes, and frameworks, profiling workloads, and influencing hardware/software co-design. Core tech: C++, GPU programming models, AI inference frameworks, and compiler stacks like LLVM/MLIR.
Imnoo AG, a Berlin-based SaaS platform that analyzes CNC parts and automates quoting/planning for manufacturers, is hiring an ML/Computer Graphics Engineer to build and industrialize deep learning models on 3D CAD data, extend 2D/3D geometry tools, and own cloud services and automated training pipelines. Core stack: Python, C++/C#, PyTorch, CUDA, AWS/Azure.
Research engineer at an AI data foundry translating cutting-edge vision research — VLMs, 2D/3D perception, embodied/physical AI — from paper to production. Daily work spans model training in PyTorch, rigorous ablations, and deployment via FastAPI, Ray, Docker, and Kubernetes, with optional robotics simulation in NVIDIA Isaac/Omniverse.
Develops and integrates real-time AI/ML perception and sensor-fusion software for autonomous platforms across land, air, sea, and space — controlling sensors (EO, IR, radar, acoustics, RF) and deploying containerized models to embedded Linux devices for DoD field tests. Core stack: C++, Python, PyTorch/TensorFlow, Docker, Linux.
Builds and deploys learning-based manipulation systems for service robots: perception-to-action models, training data pipelines, sim-to-real workflows, and edge-optimized deployment so robots can reliably interact with physical environments. Core stack: PyTorch, Python, Isaac Sim/MuJoCo, ONNX/TensorRT.
First MLOps hire at Clariti/CivCheck, building and scaling the ML infrastructure behind an AI plan-review platform for governments: end-to-end training, evaluation, and serving pipelines on cloud GPU infra, plus CI/CD, monitoring, and cost optimization for production ML. Core stack: Python, Docker, Kubernetes, AWS/GCP/Azure, MLflow/W&B/Kubeflow.
As Aerobotics7's only ML engineer, you own the full ML stack end to end — building data pipelines and object-detection models on radar/LiDAR/camera data, closing the sim-to-real gap with synthetic data, and deploying real-time inference on NVIDIA Jetson edge devices and the cloud using PyTorch, TensorRT, ONNX, and MLOps tooling.
Develops and validates a robot SDK and developer platform (Skill Store, Console) for Faraday Future's embodied-AI robotics platform, owning edge hardware bring-up across humanoid and quadruped robots and building full-stack web tools verified on real robots. Core stack: Python/C/C++, Linux, ROS 2/DDS/gRPC, ONNX/TensorRT, React, FastAPI, PostgreSQL.
Providence is seeking an exceptional Principal Cybersecurity Architect to lead the research, development, and deployment of Small Language Models (SLMs) specialized for healthcare and cybersecurity applications. This…
Murata Vios is a global medical device company dedicated to creating a paradigm shift in the way healthcare is delivered. Through the utilization of our internet-of-things medical-grade sensors and virtual patient care…
Job Req ID: 29071 Essential Duties and Responsibilities: Design, train, and optimize deep learning models for PCBA defect detection (e.g., missing components, misalignment, solder bridges, tombstoning). Deploy and…
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