Perficient - Learning & Development Specialist - Technical Training - AI/ML/Data Science Domain

Required Skills & Qualifications

- 10+ years of experience in AI/ML, Data Science, Generative AI, or Data Engineering roles.

- Strong experience in technical training, facilitation, or enablement for engineers, consultants, or enterprise teams.

- Proven ability to translate complex AI concepts into practical, handson learning experiences.

- Excellent communication, storytelling, and stakeholderengagement skills.

Applied AI Skills & Technical Expertise

Core AI & GenAI

- Machine Learning pipelines, model evaluation, and deployment

- Generative AI, LLMs, prompt engineering, and solution design

- RetrievalAugmented Generation (RAG), agents, orchestration patterns

- AI ethics, responsible AI, and enterprise adoption considerations

AI Platforms & Ecosystems (Expertise in one necessary)

- Microsoft Ecosystem: Azure AI, Azure OpenAI, Azure ML, Copilot stack

- Google Ecosystem: Vertex AI, Gemini models, BigQuery ML

- AWS Ecosystem: SageMaker, Bedrock, AI/ML services

- OpenSource Ecosystem: PyTorch, TensorFlow, Hugging Face, LangChain, Llama, OpenClaw

Data & Engineering

- Data engineering concepts, feature stores, MLOps / LLMOps

- Cloudnative architectures and scalable AI solution design

Preferred Qualifications

- AI/ML, Cloud, or Technical Training certifications.

- Prior experience in consulting or clientfacing delivery environments.