AI/ML Engineer

Stelle nicht auf LinkedIn

🕒 vor 27 Tagen

☕ Washington – Remote

☕ Washington – Remote

💵 $130.000 - $170.000 / Jahr

⏰ Vollzeit

🟡 Mittelstufe

🟠 Senior

🤖 KI-Ingenieur

Jetzt Bewerben

Ähnliche Remote-Jobs finden

E-Mail-Benachrichtigung für neue Jobs einrichten

📊 Überprüfen Sie Ihre Lebenslauf-Bewertung für diese Stelle

Verbessern Sie Ihre Chancen auf ein Vorstellungsgespräch, indem Sie Ihre Lebenslauf-Bewertung vor der Bewerbung überprüfen.

Lebenslauf hochladen

hatch I.T.

WebsiteLinkedInAlle Stellen

11 - 50 Mitarbeiter

💼 Beratung

📦 Logistik

📣 Marketing

Consulting • Logistics • Marketing

Wir sind ein spezialisierter Rekrutierungspartner, der Ingenieur-, Produkt- und Datenteams für innovative und mission-orientierte Technologie-Startups und kleine Unternehmen aufbaut. Unser Flaggschiff-Programm, Scale, ist eine maßgeschneiderte Recruitment Process Outsourcing (RPO) Lösung, die speziell für Startup-Technikteams entwickelt wurde. Wir bieten auch Contract-To-Hire und Contingency Hiring an, um die Bedürfnisse von Startups in jeder Wachstumsphase zu unterstützen. Wenn Sie ein Startup oder kleines Unternehmen sind, das sein technisches Team erweitern möchte, kontaktieren Sie noch heute hatch I.T.: https://www.hatchit.io/hire/

Beschreibung

• Design and implement AI capabilities supporting intelligent data characterization, classification, prioritization, and decision support. • Evaluate, optimize, and deploy open-weight foundation models appropriate for resource-constrained edge environments. • Develop efficient inference pipelines supporting heterogeneous compute environments ranging from embedded processors to workstation-class systems. • Implement Retrieval-Augmented Generation (RAG), semantic search, and knowledge retrieval capabilities where appropriate. • Design AI orchestration workflows supporting distributed inference across multiple edge devices. • Develop evaluation methodologies for AI accuracy, latency, resource utilization, and operational performance. • Implement model monitoring, observability, testing, and automated evaluation frameworks. • Collaborate with software engineers to integrate AI models into production software platforms. • Optimize models using quantization, pruning, distillation deployment technologies. • Support experimentation involving multimodal data sources, sensor-derived features, and structured mission data. • Develop AI governance practices including model evaluation, explainability, responsible AI, and secure deployment. • Document model development, evaluation results, and technical recommendations. • Support customer demonstrations and prototype evaluations.

🎯 Anforderungen

• Bachelor degree in Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, Applied Mathematics, or related discipline. An advanced degree is preferred. • 5-8+ years of professional experience developing production AI or machine learning applications. • Strong Python programming experience. • Experience with PyTorch. • Experience deploying LLMs in production environments. • Experience with LangGraph, LangChain, CrewAI, Semantic Kernel, or similar orchestration frameworks. • Experience implementing Retrieval-Augmented Generation (RAG). • Experience with vector databases and semantic search. • Experience deploying AI models on edge or resource-constrained devices. • Experience with model optimization techniques including quantization, model compression, or inference acceleration. • Experience designing evaluation frameworks for AI systems. • Experience with Docker and cloud-native AI deployment. • Excellent communication and collaboration skills.

🏖️ Vorteile

• 401k matching • PPO and HDHP medical/dental/vision insurance • Education reimbursement up to $10,000/yr • Complimentary life insurance • Generous PTO and 11 days of holiday leave • Onsite gym facility and trainer • Commuter Benefits Plan • In-office Cold Brew Coffee