Revature · 2 hours ago
Senior Trainer – Artificial Intelligence & Machine Learning
Revature is one of the largest and fastest-growing employers of technology talent across the U.S., partnering with Fortune 500 companies. They are seeking a passionate and technically strong Senior Trainer in Artificial Intelligence & Machine Learning to deliver advanced AI curriculum and mentor learners in building autonomous, production-grade AI systems.
ConsultingCorporate TrainingInformation TechnologyIT ManagementSoftware EngineeringTraining
Responsibilities
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 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
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 (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
Qualification
Required
4 to 5+ years in AI/ML engineering, Data Science, Applied NLP, or MLOps roles
Proficiency in Python and AI libraries such as PyTorch, TensorFlow, and Transformers (Hugging Face)
Strong experience with LLMs, prompt engineering, and fine-tuning
Practical understanding of RAG systems using LangChain and vector databases (e.g., FAISS, Chroma, Pinecone)
Hands-on experience in agentic AI frameworks (e.g., CrewAI, AutoGen, LangGraph, or LangChain 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
Preferred
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
Company
Revature
We build your future technology workforce today
Funding
Current Stage
Late StageTotal Funding
unknown2019-02-11Acquired
2016-03-07Series A
Recent News
2025-07-23
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