Subject Matter Expert in Data Engineering and AI

3 days ago


Alwar, Rajasthan, India beBeeTechnicalExpertise Full time ₹ 7,50,000 - ₹ 15,00,000

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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