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Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves,…
The Alibaba-NTU Global e-Sustainability CorpLab (ANGEL) represents a key collaboration between Alibaba Group and Nanyang Technological University (NTU). Supported by the Singapore RIE2025 Fund, ANGEL creates and…
Location : Novi Sad We are building an AI department, and this is one of the first roles in it. We bring engineering excellence and scale to help our customers build digital products of the future. For years, our work…
Position Summary * This position is contingent upon award The AI/ML Integration Specialist directs and executes all tasks supporting SAF/AQ's incorporation of DoW-approved AI capabilities into the enterprise's…
Helprise is an organization that combines global reach with local talent. We work for companies that value quality, partnership, and responsibility, creating teams that really work. By precisely matching skills and…
Business Consultant AI/ML Engineer Location: Atlanta/Chicago Employment Type: Contract/Permanent Role Summary NTT DATA's Client is seeking an experienced Business Consultant AI/ML Engineer to design, develop, and…
Business Consultant - AI/ML Engineer Location: Atlanta/Chicago Employment Type: Contract/Permanent Role Summary NTT DATA's Client is seeking an experienced AI/ML Engineer to design, develop, and deploy scalable…
Designs and deploys advanced Retrieval-Augmented Generation (RAG) models for clients, optimizing AI-driven applications with retrieval and generation techniques.
This role involves developing and implementing Generative AI solutions within Google Ads, focusing on ML infrastructure, model optimization, and system development. Engineers will collaborate on full-stack projects, debug complex system issues, and contribute to the evolution of advertising products using large-scale AI technologies.
Technical Marketing Engineer driving embedded AI software enablement for AMD's x86 APUs, including ROCm and Ryzen AI Software—creating customer-facing content, sales enablement materials, and technical training for embedded markets.
ML Engineer building evaluation frameworks, automated scoring pipelines, and multi-agent LLM architectures for an AI-first product company, using Python, GCP (Vertex AI, BigQuery), and modern LLM/agent tooling.
Build and integrate machine learning systems that run locally on Apple devices to personalize user experiences and anticipate needs.
Research and develop post-training methods (RLHF, SFT, PEFT, reward-based optimization) for Enchant, Iambic's large multimodal transformer model used in drug discovery, using Python and PyTorch at scale.
Research and develop post-training methods for a large multimodal transformer model (Enchant) in drug discovery, focusing on fine-tuning, reinforcement learning, and evaluation frameworks to advance AI-driven therapeutic development.
AI/ML Engineer designing and deploying end-to-end LLM and RAG pipelines, MLOps workflows, and data integration systems on AWS (SageMaker, Bedrock, Lambda, EKS) for enterprise clients in regulated industries.
Como Project Leader de Machine Learning - Prevención de Fraude en Mercado Libre, diseñarás y escalarás sistemas innovadores y seguros que resuelven problemas reales y de alto impacto. Trabajarás en un entorno dinámico…
Manage a team of ML engineers at a fraud detection company, driving innovation in real-time ML fraud models using the Python data stack while staying 30-40% hands-on in the codebase.
The Senior AI/ML Engineer will design and deploy enterprise-scale AI systems, including intelligent agents and copilots, using Python, LLMs, and RAG architectures. The role focuses on building scalable, production-grade AI services within a cloud-native environment.
Leads ML/AI operations for GoFundMe’s production systems, ensuring reliability, scalability, and safety of ML pipelines, model serving, and observability infrastructure. Manages a team to optimize ML lifecycle from data to deployment, balancing innovation with operational rigor.
Build and deploy ML systems on Instacart's Economics team, blending economic theory with machine learning to solve marketplace problems like matching, logistics, online advertising, and causal inference using Python, SQL, Pandas, scikit-learn, and XGBoost.
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