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Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based…
Senior Data Scientist at AgZen in Somerville, MA, builds AI-driven models and dashboards to optimize agricultural spray efficiency using sensor data, machine learning, and computer vision.
Designs and maintains automated pipelines to deploy machine-learning models from a central registry into production environments like Kubernetes, ensuring scalable, reliable serving via REST/gRPC APIs.
Senior Software Engineer builds and maintains Attentive’s ML/AI platform, enabling scalable model training, serving, and deployment for personalized marketing using Spark, Ray, Kubernetes, and AWS.
Designs and implements secure software systems for defense applications, integrating cybersecurity practices into development and operations while ensuring compliance with DoD standards.
Develop and optimize speech/audio AI models and data pipelines for a hardware-software company, focusing on ASR accuracy and domain adaptation in Singapore.
Designs and builds voice biometrics systems that verify or identify speakers using machine learning, with Python, TensorFlow/PyTorch, and AWS services.
Develops and deploys machine learning models for embedded systems, focusing on Android integration using Python, TensorFlow, and C/C++.
Senior AI Engineer/Technical Consultant designs and delivers AI solutions for clients, leading from proof-of-concept to production using Python, LLMs, and cloud platforms like Azure/GCP/AWS.
Build and deploy cutting-edge ML models for NLP, computer vision, recommendations, and ranking, then ship them to production using modern MLOps tooling.
Build and deploy AI agents using large language models (LLMs) like GigaChat, design metrics for LLM quality, and stay current with NLP research.
Build and deploy AI-driven pipelines for legal and regulatory compliance using LLMs, RAG, and vector databases in AWS, focusing on document understanding and obligation extraction.
Builds and deploys AI inference and training workloads on a cloud/edge platform, integrating frameworks like vLLM and PyTorch into OpenNebula’s open-source stack.
Develops robust computer-vision systems by combining AI models with traditional algorithms for real-time applications, focusing on accuracy, latency, and edge deployment.
Senior AI Engineer builds and deploys agentic AI systems for real-time vehicle interactions, focusing on multi-agent orchestration, LLM security, and production-grade code for automotive AI applications.
An embedded AI engineer builds and deploys generative AI systems on AWS for financial services and healthcare clients, starting by performing the operator’s job before automating it.
Designs, trains, and deploys machine learning models to detect and prevent digital fraud using Gogolook’s scam data, focusing on model quality and statistical rigor.
Build and own production ML systems for content understanding, moderation, and policy enforcement in AI-generated images and video at a fast-scaling generative AI company.
Senior AI Engineer designs, trains, and deploys AI models (ML, LLMs, computer vision) and builds end-to-end pipelines for production-ready AI solutions.
Develops AI models to process multimodal biosignal data from custom hardware for real-time human-computer interaction in a deep tech startup.
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