Senior Trainer

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**.* 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.**Required Skills & Qualifications*** **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 **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**.* **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**.**Who We Are**Revature is a tech career launch pad and the largest employer of entry-level technology talent in the U.S. The company works with Fortune 500 companies, government organizations, and top systems integrators to grow their business by hiring, training, and deploying top tech talent.Our mission is to create a pathway for candidates from diverse experiences and educational backgrounds to reach their potential as technology professionals. Alumni of the Revature program work on innovative, challenging, and rewarding software development projects across the United States.Revature has trained over 7000 software engineers across 54 technical disciplines, recruited talent from 700 universities, and deployed them to blue-chip companies throughout the U.S. We have proudly committed to training 1 million developers over the next decade, helping to close the opportunity gap in tech and supporting the future of work.*Revature is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, genetic information, age, marital status, protected veteran status, or disability status.* #J-18808-Ljbffr