Senior Trainer - Artificial Intelligence & Machine Learning

Job Description About the Role

We are seeking a passionate and technically strong Senior Trainer - Artificial Intelligence & Machine Learning to deliver our advanced AI curriculum focused on LLMs, Retrieval-Augmented Generation (RAG), Agentic AI, and end-to-end deployment.

The ideal candidate will have a deep understanding of modern AI architectures and the ability to mentor learners in building autonomous, production-grade AI systems - integrating retrieval pipelines, intelligent agents, and deployment workflows across real-world scenarios

Revature is one of the largest and fastest-growing employers of technology talent across the U.S., partnering with Fortune 500 companies, leading System Integrators, and Government Contractors to identify experienced professionals who can be effective leaders.

• Deliver engaging, project-based sessions on advanced topics in AI, LLMs, and agentic AI development.
• Train and mentor learners on Core AI / ML concepts: supervised & unsupervised learning, deep learning, and NLP.
• Large Language Models (LLMs): transformer architecture, fine-tuning, and prompt optimization.
• Retrieval-Augmented Generation (RAG): vector databases, document retrieval, embeddings, and knowledge-grounded responses.
• Agentic AI Systems:
  Designing and orchestrating AI agents capable of autonomous decision-making, using Lang Graph, CrewAI, or Auto Gen for multi-agent frameworks, integrating external tools, APIs, and reasoning loops for dynamic task execution, understanding memory management, context persistence, and tool use in agent frameworks.
• AI Deployment & MLOps:
  Building scalable APIs with FastAPI or Flask, model packaging and orchestration with Docker, Kubernetes, and CI/CD pipelines, model tracking, experimentation, and monitoring with MLflow, Weights & Biases, or Vertex AI Pipelines.
• Cloud AI Integration: deploying and managing systems on AWS (Sage Maker), Azure ML, or GCP Vertex AI.
• Lead hands‑on projects where learners build RAG‑based chatbots, autonomous AI assistants, and deployed LLM applications.
• Collaborate on curriculum development to integrate cutting‑edge AI research and tools into the training modules.
• Mentor learners through technical challenges, performance optimization, and model deployment.
• Keep up to date with LLM, agentic AI, and generative AI innovations to ensure curriculum relevance.

• Experience:
  
  4 to 5+ years in AI / ML engineering, Data Science, Applied NLP, or MLOps roles.

• Proficiency in Python and AI libraries such as PyTorch, Tensor Flow, and Transformers (Hugging Face).
• Strong experience with LLMs, prompt engineering, and fine‑tuning.
• Practical understanding of RAG systems using Lang Chain and vector databases (e.g., FAISS, Chroma, Pinecone).
• Hands‑on experience in agentic AI frameworks (e.g., CrewAI, Auto Gen, Lang Graph, or Lang Chain Agents).
• Knowledge of tool integration, memory management, and multi‑agent orchestration.
• Experience deploying AI models with FastAPI, Docker, Kubernetes, or cloud‑native tools.
• Familiarity with MLOps pipelines, CI/CD automation, and monitoring frameworks.
• Exposure to Generative AI APIs such as OpenAI, Anthropic Claude, Google Gemini, or Azure OpenAI.

• Bachelor’s or Master’s degree in Computer Science, Data Science, or Artificial Intelligence or similar technical discipline.
• Excellent communication, mentoring, and technical training skills.
• Proven experience conducting technical workshops, bootcamps, or corporate AI training programs preferred.
• Ready to deliver on‑site and virtual training.

• Certifications in Machine Learning, Generative AI, or Cloud AI services.
• Experience developing autonomous AI agents and multi‑agent ecosystems.
• Working knowledge of vector search optimization, knowledge graph integration, and RAG performance tuning.
• Understanding of AI ethics, bias mitigation, and responsible AI deployment.
• Enthusiasm for teaching and guiding professionals through hands‑on AI and MLOps implementations.

Revature (“Company”) is an equal opportunity employer. We will extend equal opportunity to all individuals…