About The Position
Role Overview At Cloudera, you will bridge the gap between complex data technologies and actionable learning. You will design and develop hands-on technical training, workshops, and certification content focused on Generative AI Applications, Agentic AI, MLOps, and modern Data Engineering for customers, partners, and internal teams.
Requirements
- Python, React, Node.js, HTML, and Markdown.
- SQL, Linux, Bash scripting, Kubernetes, and Docker.
- Traditional ML (PyTorch or similar), Generative AI, and building enterprise Agentic AI workflows.
- Familiar with OpenAI v1 API and how to build with it.
- Experience with the NVIDIA AI Agent & Data Engineering stack, including NVIDIA NIM, NeMo Retriever, NeMo Guardrails, and cuDF for accelerated data processing.
- AI Coding agents (Cursor, Claude, Codex, Gemini) and modern IDEs.
- Total 6+ years of data and application development experience with 4+ years in curriculum development, technical training, AI/ML/Data Engineering, or MLOps.
- Proven ability to conduct hands-on workshops and simplify complex AI concepts for technical and non-technical audiences.
- Expertise in Agent frameworks (CrewAI, LangChain, NVIDIA AI-Q), Vector databases, RAG pipelines, and Git/version control.
Nice To Haves
- Advanced Architecture Knowledge of Data Lakehouse architectures, Apache Spark, Kafka, and Airflow.
- Familiarity with AI governance, Responsible AI, and NVIDIA OpenShell for secure agent runtimes.
- Exposure to Cloudera environments, LMS platforms, and DevOps/CI/CD practices.
- Experience with certification development and video recording/editing tools.
Responsibilities
- Design and develop technical training focused on Generative AI, Agentic AI workflows, and AI application development including the NVIDIA AI Agent stack.
- Create instructor-led guides, lab manuals, Jupyter notebook-based exercises, and on-demand video content.
- Develop technical assessments, certification questions, and demo environments.
- Develop real-world AI agents and data scenarios across Banking, Telecom, Retail, Healthcare, and other enterprise domains.
- Lead and conduct technical ML/AI and Agent development workshops directly for customers and internal teams.
- Build and maintain labs using Python, AI/ML frameworks, Vector databases, and NVIDIA-accelerated data pipelines (e.g., cuDF, Apache Spark on GPUs).
- Partner with Product, Engineering, and Solution Architecture teams to ensure training reflects the latest platform capabilities.
- Iterate on course content based on learner feedback, instructor input, and emerging industry trends like LLMOps.
- Support internal enablement initiatives and maintain technical walkthroughs.
Benefits
- Generous PTO Policy
- Support work life balance with Unplugged Days
- Flexible WFH Policy
- Mental & Physical Wellness programs
- Phone and Internet Reimbursement program
- Access to Continued Career Development
- Comprehensive Benefits and Competitive Packages
- Paid Volunteer Time
- Employee Resource Groups
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
