Principal Consultant, GenAI

Stelle nicht auf LinkedIn

🕒 vor 1 Monat

🌽 Illinois, Virginia – Remote

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💵 $140.000 - $180.000 / Jahr

⏰ Vollzeit

🔴 Experte

💼 Berater

👻 Geisterscore 11%

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🗣️🇺🇸🇬🇧 Englisch erforderlich

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Lovelytics

501 - 1000 Mitarbeiter

💼 Beratung

🤖 Künstliche Intelligenz

🏢 Unternehmen

💰 Series unknown im 2023-07

Consulting • Artificial Intelligence • Enterprise

Lovelytics ist eine auf Daten und KI spezialisierte Beratung, die großen Unternehmen dabei hilft, Daten- und KI-Initiativen in messbare Geschäftsergebnisse umzuwandeln. Das Unternehmen konzentriert sich zu 100 % auf Daten und KI und bietet Dienstleistungen in den Bereichen Datenstrategie und Beratung, Datenengineering, Daten-Governance und Migrationen, Analytik und Visualisierung, generative KI und ML (einschließlich LLMOps und MLOps) sowie Cloud-Migration/Modernisierung an. Lovelytics arbeitet mit Fortune-500-Kunden aus verschiedenen Branchen wie Energie & Versorgung, Einzelhandel/Konsumgüter & Reisen, Fertigung, Gesundheitswesen & Biowissenschaften, Kommunikation/Medien/Unterhaltung & Gaming und Finanzdienstleistungen zusammen und kooperiert mit führenden Plattformanbietern wie Databricks, AWS, Microsoft Azure, Google Cloud und Anthropic.

Beschreibung

• Deliver high-impact, client-facing engagements independently while overseeing the work of junior consultants/engineers. • Build and optimize LLM applications, including AI Agents, RAG systems, evaluation pipelines, prompt chaining, and output refinement. • Design, implement, and deploy GenAI pipelines using tools such as DSPy, MLFlow, LangChain, LlamaIndex, and Databricks Mosaic AI. • Work hands-on with models like OpenAI GPT, LLaMA, Claude, and others—fine-tuning or prompt-tuning as required. • Ingest and process unstructured and structured data for use in GenAI systems, including document parsing, chunking, vectorization, and retrieval. • Collaborate with cross-functional teams to build custom UI and API integrations and GenAI-powered user experiences. • Implement enterprise-grade best practices for security, compliance, evaluation, and governance in GenAI projects. • Develop evaluation frameworks using MLFow, Mosaic AI Eval tools, and standard and custom metrics. • Support CI/CD and DABs for AI applications and promote code and model artifacts across environments. • Contribute to internal accelerators and reusable GenAI components as part of our growing framework library. • Work closely with senior leadership to design architecture and delivery plans tailored to client needs.

🎯 Anforderungen

• B.S. in Computer Science or equivalent technical field. • 5+ years of experience in Machine Learning or NLP; at least 2 years working with LLMs or Generative AI systems, preferably on Databricks. • Proficiency with open-source LLM tooling such as Hugging Face Transformers, LangChain, or similar orchestration libraries. • Strong hands-on experience with Databricks (Unity Catalog, MLFlow, Delta Tables, etc.). • Familiarity with GenAI-specific challenges including hallucination mitigation, grounding techniques, and evaluation frameworks. • Experience designing and deploying applications with security, compliance, and scalability in mind. • Excellent communication skills and a strong ability to engage with technical and business stakeholders.

🏖️ Vorteile

• Meaningful, cutting-edge projects in Generative AI with clients across industries—from Fortune 100 firms to disruptive startups. • Rapid learning and mentorship opportunities with AI/GenAI thought leaders and practitioners. • A culture of experimentation, innovation, and continuous improvement. • Opportunity to be a conference speaker, blogger, writer. • A diverse, inclusive team and one of the best GenAI teams, where your voice, ideas, and

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