Principal Consultant, GenAI

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🕒 il y a 10 jours

🌽 Illinois, Virginia – Distant

🌽 Illinois – Remote ⚔️ Virginia – Remote

💵 $140 000 - $180 000 / an

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Lovelytics

Site WebLinkedInTous les Emplois

501 - 1000 employés

💼 Conseil

🤖 Intelligence artificielle

🏢 Entreprise

💰 Series unknown en 2023-07

Consulting • Artificial Intelligence • Enterprise

Lovelytics est un cabinet de conseil en données et IA qui aide les grandes entreprises à transformer leurs initiatives en données et en IA en résultats commerciaux mesurables. Entièrement axée sur les données et l'IA, la société offre des services incluant la stratégie et le conseil en données, l'ingénierie des données, la gouvernance des données et les migrations, l'analytique et la visualisation, l'IA générative et le ML (y compris LLMOps et MLOps), et la migration/modernisation dans le cloud. Lovelytics collabore avec des clients du Fortune 500 dans des secteurs tels que l'énergie et les services publics, le commerce de détail/CPG et le voyage, la fabrication, la santé et les sciences de la vie, les communications/médias/divertissement et gaming, ainsi que les services financiers, et s'associe à des fournisseurs de plateformes majeurs comme Databricks, AWS, Microsoft Azure, Google Cloud et Anthropic.

Description

• 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.

🎯 Exigences

• 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.

🏖️ Avantages

• 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