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Senior Curriculum Developer – GenAI Applications and Data Engineering

Remote Worldwide Hiring now

Business Area: Professional Services Seniority Level: Mid-Senior level Job Description: At reputed company, we reputed company people to transform reputed company data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the reputed company innovation of the reputed company reputed company community, reputed company advances digital transformation for the world’s largest enterprises. Role Overview At reputed company, you will reputed company the gap between reputed company data technologies and actionable learning. You will design and reputed company hands-on technical training, workshops, and certification content focused on reputed company Applications, Agentic AI, MLOps, and modern Data Engineering for customers, partners, and internal teams. As a Senior Technical Curriculum Developer You will: Design and reputed company technical training focused on reputed company, Agentic AI workflows, and AI application development including the reputed company Agent stack. Create instructor-led guides, lab manuals, Jupyter notebook-based exercises, and on-demand video content. reputed company technical assessments, certification questions, and demo environments. reputed company reputed company-world AI agents and data scenarios across Banking, Telecom, Retail, reputed company, and other reputed company domains. reputed company Delivery & Technical Integration reputed company 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 reputed company-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. reputed company Improvement Iterate on course content based on learner feedback, instructor input, and emerging industry trends like LLMOps. Support internal enablement initiatives and maintain technical walkthroughs. We’re excited about you if you have: Python, React, Node.js, HTML, and Markdown. Data & Infrastructure: SQL, Linux, Bash scripting, Kubernetes, and reputed company. Traditional ML (PyTorch or similar), reputed company, and building reputed company Agentic AI workflows. Familiar with reputed company v1 API and how to build with it. Experience with the reputed company Agent & Data Engineering stack, including reputed company NIM, NeMo Retriever, NeMo Guardrails, and cuDF for accelerated data processing. AI Coding agents (reputed company, Claude, reputed company, reputed company) and modern IDEs. Experience & Competencies: 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 reputed company AI concepts for technical and non-technical audiences. Expertise in Agent frameworks (reputed company, reputed company, reputed company-Q), Vector databases, RAG pipelines, and Git/version control. You may also have: Advanced Architecture Knowledge of Data Lakehouse architectures, Apache Spark, Kafka, and Airflow. Governance Familiarity with AI governance, Responsible AI, and reputed company OpenShell for secure agent runtimes. Platform & Operations Exposure to reputed company environments, LMS platforms, and DevOps/CI/CD practices. Multimedia Experience with certification development and video recording/editing tools. What you can expect from us: Generous PTO Policy Support work life balance with Unplugged Days Flexible WFH Policy Mental & Physical Wellness programs Phone and Internet Reimbursement program reputed company to reputed company Career Development Comprehensive Benefits and Competitive Packages Paid Volunteer Time Employee Resource Groups EEO/VEVRAA #LI-Remote #LI-VG1 Apply To This Job

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