Senior Trainer Artificial Intelligence & Machine Learning

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 Google Cloud Platform 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.

Technical Expertise:

• Proficiency in Python and AI libraries such as Py Torch ,
  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
  .

Education:

• 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 Skills/Attributes:

• 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
  .

Equal Opportunity Employer :

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