Senior Trainer - Artificial Intelligence & Machine Learning - Revature

Revature is rapidly growing – both domestically and internationally – and our Team plays a key role in our Corporate Department.

We’re looking for an agile and ambitious candidate who is effective in the qualities listed below, all within a rapidly growing environment.

Our ideal candidate is based near one of our central offices located in this job posting.

Job Description:

Experience Required : Minimum 4-5 years of professional experience in AI/ML, Data Science, or Applied Machine Learning.

Position Summary:

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.

Key Responsibilities

• Deliver engaging, project-based sessions on advanced topics in AI, LLMs, and agentic AI development .
• 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.
• Designing and orchestrating AI agents capable of autonomous decision-making
• Using LangGraph , CrewAI , or AutoGen 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
• 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 (SageMaker) , 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.

Required Skills & Qualifications

• 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