
Subject Matter Expert in Data Engineering and AI
3 days ago
Job Overview:
We are seeking highly skilled experts in data engineering, artificial intelligence, and machine learning to create, review, and deliver high-quality content for our eLearning programs.
This is a remote freelance opportunity ideal for professionals who want to contribute their expertise in multiple domains including data science, cloud computing, data analytics, healthcare operations, finance, and digital marketing.
Key Responsibilities:
- Develop engaging course content based on assigned topics including presentations, assessments, scripts, and exercises.
- Deliver clear explanations of complex technical concepts in a simplified learner-friendly manner.
- Review and fact-check content for technical accuracy and industry relevance.
- Collaborate with the content development team to structure courses into modules, lessons, and practical case studies.
- Record or assist in video-based training sessions if required.
- Stay updated with the latest industry trends, tools, and best practices in the relevant domain.
- Ensure all content aligns with instructional design standards and meets project deadlines.
Required Skills and Qualifications:
- Bachelor's degree in computer science, data science, information technology, or related disciplines.
- Master's degree or specialized certifications in data engineering, AI/ML, cloud computing, etc.
- Proven industry experience 3-5 years+ in the respective subject area.
- Prior teaching training or eLearning content creation experience is an added advantage.
Benefits:
- Remote freelance work with flexible schedules.
- Opportunity to work with multiple domains and subjects.
- Chance to develop high-quality content and skills.
Others:
- Strong technical expertise in one or more subject domains.
- Excellent communication and content writing/presentation skills.
- Ability to explain technical concepts in a simplified and structured way.
- Good command of tools/software relevant to the subject area.
- Self-motivated, detail-oriented, and able to meet deadlines independently.
Domain Areas:
- Data Engineering: data flows, dbt, Airflow, Spark, Delta Lake, data lakes/warehouses, SQL, ETL schema design, Git, CI/CD, Ansible, Docker, Kubernetes, AWS Security.
- Data Science & AI/ML: ML experimentation, transformers, multimodal AI, NLP, computer vision, audio processing, model deployment, MLOps, GenAI, AI ethics, prompt engineering.
- Cloud & Infrastructure: AWS, Azure, multi-cloud architecture, microservices, cloud cost optimization, security guardrails, zero trust security.
- Business Analytics & Product Analytics: SQL mastery, A/B testing, funnel analysis, retention metrics, PowerBI dashboards, Google Analytics product metrics.
- Finance & Accounting: invoicing, AP/AR, payroll, GAAP, SAP, QuickBooks financial statements, cash flow expense audits, AI in accounting.
- Digital Marketing & Growth: SEO, SEM, Google Ads, social media strategy, HubSpot, Mailchimp campaign management, branding, KPI tracking, marketing dashboards.
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