S'INSCRIRE

Offres d'emploi

Trouvez des postes près de chez vous, sur site, hybrides ou à distance.
  • Emplois similaires à : Lead - Machine Learning
XX
Lead - Machine LearningQuantiphi • New York, New York, United States
Postuler Maintenant
XX

Lead - Machine Learning

Quantiphi
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Postuler Maintenant

À propos

Get AI-powered advice on this job and more exclusive features. Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed. Company Highlights: Quantiphi has grown 2.5x YoY since 2013, with 4,000+ professionals worldwide. Elite/Premier Partner for Google Cloud, AWS, NVIDIA, Snowflake, and others. Awards include 17x Google Cloud Partner of the Year, 3x AWS AI/ML, 3x NVIDIA Partner of the Year, 2x Snowflake Partner of the Year, and recognition from Gartner, ISG, and Everest Group. Industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by Generative AI and Agentic AI accelerators. Great Place to Work certified for three consecutive years (2021–2023). Be part of a trailblazing team shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! Work Location: East Coast (USA) Responsibilities Define and design comprehensive end-to-end architecture for production-grade multi-agent systems that are reliable, well-governed and compliant with industry standards. Establish architectural standards, patterns and best practices for multi-agent deployments. Create technical roadmaps and architecture blueprints for enterprise-grade agentic solutions. Standardize proof-of-concept Agent codebases into robust, scalable, production-ready solutions. Establish testing frameworks for multi-agent system validation. Design and implement robust deployment pipelines on AWS/Azure cloud platforms. Ensure scalability, reliability and performance of multi-agent systems in production. Establish monitoring, logging and alerting systems for production environments. Implement security protocols and compliance measures for enterprise deployments. Conduct risk assessments and develop mitigation strategies for production systems. Ensure adherence to data privacy and regulatory requirements. Conduct Technical Reviews and ensure code quality across all development phases. Guide development teams on orchestration patterns, error handling, CI/CD readiness, and scalability. Help customers with creating sustainable, enterprise-grade AI architectures that deliver measurable business value. Serve as an advisory consultant to customers on their AI transformation journey, collaborating with Technical specialists and Business Development teams. Develop technical content, reference implementations, and presentations to enable customers fully leverage AI/ML and Generative AI on Azure/AWS. Develop and execute strategic roadmaps for LLM-based solutions, including RAG, Agentic RAG, and Agent-driven workflows. Guide AI model evaluation, MLOps pipeline integration, and fine-tuning strategies for scalable AI solutions. Skill Set Required Proficiency in LangGraph, LangChain for agentic workflows. Deep technical experience across the AI spectrum from traditional ML and deep learning to Generative AI and Agentic AI. Hands-on experience with autonomous agent frameworks and developing multi-agent systems. Experience with AWS or Azure (LLM hosting, GPU-based inference, cost optimization). Mentoring team members for career progression and upskilling to drive better solution outcomes. Understanding of governance frameworks (e.g., AI Ethics, Explainability, Risk Mitigation). What is in it for you Be part of a team with a strong track record in production AI applications on DGX and Cloud GPUs. Peer learning and accelerated growth in Applied AI and GPU computing, plus technical communication skills. Exposure to Fortune 500 leaders and market disruptors transforming their businesses with Generative AI. Access to state-of-the-art GPU infrastructure on the cloud and on-premise. Work with a rapidly growing AI-first digital transformation and engineering company. Seniority level Mid-Senior level Employment type Part-time Industries IT Services and IT Consulting
#J-18808-Ljbffr
  • New York, New York, United States

Compétences linguistiques

  • English
Avis aux utilisateurs

Cette offre provient d’une plateforme partenaire de TieTalent. Cliquez sur « Postuler maintenant » pour soumettre votre candidature directement sur leur site.