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Research and develop efficient on-device AI inference systems, focusing on model compression, hardware-software co-design, and optimization for Qualcomm’s low-power AI accelerators.
Lead end-to-end applied AI research and ML lifecycle for language models, fine-tuning, distillation, and production deployment to drive new product features and business impact.
Leads end-to-end AI/ML lifecycle for language models, balancing proprietary APIs and open-source LLMs to deliver scalable, low-latency solutions aligned with business goals.
Build and lead the RackAI platform using Go and Kubernetes, designing scalable cloud-native services and embedding AI-driven development tools to set engineering standards.
Builds and optimizes AI/ML-powered mobile/web apps for Warner Bros. Discovery, focusing on personalized content, search, and dynamic recommendations using frameworks like TensorFlow/PyTorch, cloud platforms (AWS/GCP), and generative models (LLMs, transformers).
Senior AI Infrastructure Engineer Team: IT Location: US Commitment: Full-time Workplace Type: remote This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is…
Machine Learning Engineer - Large Language Models Team: IT Location: US Commitment: Full-time Workplace Type: remote This position is listed on behalf of a partner company, who manages all applications and next steps.…
Applied AI/ML Engineer Location: Ithaca, NY Applied AI/ML Engineer About the Role Ursa Space turns complex satellite and spatial data into decision-ready answers. Our agentic GeoAI platform lets users ask a question in…
Senior AI Infrastructure Engineer Location: United States Department: Engineering Senior AI Infrastructure Engineer 📍 Remote, United States | Remote | $155,000 to $180,000 + Equity + Benefits About VideoAmp VideoAmp…
Senior ML Engineer builds and optimizes computer-vision models for QSR drive-thru analytics and loss prevention, deploying lightweight AI on edge hardware.
Lead a team building and deploying AI/ML systems for banking, focusing on LLMs, RAG pipelines, and agentic workflows to enhance customer experiences and internal tools.
Design and deploy production-grade agentic AI systems using frameworks like CrewAI/LangGraph, integrating LLMs, RAG, and vector databases on cloud platforms.
Build and scale MLOps infrastructure and deploy production-ready generative AI systems for a healthcare provider, focusing on LLMs, RAG pipelines, and secure AI operations.
Principal AI/ML Engineer at Fortive to define and lead enterprise-scale AI strategy, architecture, and platforms, including LLMs, Agentic AI, and MLOps/LLMOps.
GEN AI Developer Location: Bangalore, Karnataka, India, Pune, Maharashtra, India Employment Type: Regular Job Requisition: Gen AI Developer (5 to 8 years) The Spec Analytics Intmd Analyst is a developing professional…
Principal AI/ML Engineer defines enterprise-wide AI architecture, standards, and roadmap, leading large-scale LLM, Agentic AI, and MLOps/LLMOps platforms.
Разрабатывает и внедряет NLP- и LLM-решения для обработки текстов, автоматического протоколирования встреч и предиктивной аналитики в органах власти Москвы.
Data Science / Machine Learning Location: México (MX) Experience Level: Senior Description At Sequoia Connect , we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global…
Lead co-design of production agentic AI systems with enterprise partners, building RAG, multi-agent, and LLM workflows on NVIDIA’s stack (NeMo, TensorRT-LLM) and shaping product roadmaps.
Build and ship an agentic AI platform using LLMs, RAG, and multi-agent orchestration on Azure, while mentoring engineers and setting GenAI technical direction.
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