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Lead Consultant, Gen AI
Lovelytics
Remote, USA
Full-time
Senior · 3+ years experience
Remote
USD 120000-140000 yearly / year
Discovered 1 weeks ago
Hugging Face TransformersLangChainDatabricksMLFlowDelta TablesLlamaIndex
Free
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Hugging Face TransformersLangChainDatabricks
Key Skills for This Role
Hugging Face TransformersLangChainDatabricksMLFlowDelta TablesLlamaIndex
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Primary Responsibilities
- Deliver high-impact, client-facing engagements independently and/or lead specific workstreams under the supervision of an engagement lead and principal consultants.
- 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.
Our Ideal Candidate's Skills and Experiences
- B.S. in Computer Science or equivalent technical field.
- 3–5 years of experience in Machine Learning or NLP; at least 1–2 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.
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