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Role: Data/Programing
Job Types: Part-time, Freelance
Work Location: Remote
Course List:
| Optimize GenAI Prompts & Governance |
| Drive Ethical AI Strategy |
| Enhance ML Algorithm Robustness |
| Master ML Experimentation |
| Deploy AI Models Zero-Downtime |
| Streamline App Release Workflows |
| Enforce Cloud Security Guardrails |
| Optimize System Maintenance Ops |
| Design Multimodal AI Architecture |
| Fine-Tune Transformers Fast |
| Debug Training Dynamics |
| Vision Prep & Caption |
| Vision Error Analysis |
| Cross-Modal Retrieval Algorithms |
| Optimize Fusion Complexity |
| Run & Monitor ML Workflow |
| Explain Multimodal Models |
| Audio Features & Augmentations |
| Debug Audio Models |
| Fine-Tune NLP Models |
| Evaluate NLP Models |
| Design Secure Multimodal APIs |
| TDD Python for ML |
| Optimize & Ship ML Code |
| GPU Clusters & Containers |
| Scale with Kubernetes |
| Code Claims Correctly |
| Bill Claims Correctly |
| Build Clean Claims |
| Craft Clear Emails |
| Align & Gauge Campaigns |
| Harness AI Insights |
| Automate Email Reports |
| Streamline Payables |
| Audit Expense Claims |
| Forecast Cash Daily |
| Deploy AI Data Entry |
| Leverage AI for Accounting |
| Nail Account Matching |
| Streamline Billing Basics |
| Craft Mailchimp Drafts |
| Automate Email Drips |
| Organize Campaign Boards |
Skills Required:
- Python
- TensorFlow
- PyTorch
- Scikit-learn
- NLP
- Transformers
- GenAI
- ML Ops
- GPU computing
- Kubernetes
A Day in Your Life:
1. Analyze/create learning objectives for each course.
2. Review/create Course Outline for each of the courses.
3. Review video scripts (7-9 per course) and confirm technical accuracy of the content, suggest edits and updates as required. Incorporate one round of internal and client feedback.
4. Provide relevant static or recorded demos/ screencast to be integrated in the videos. Check the codes and technical accuracy before providing the demos for integration. Incorporate one round of internal and client feedback.
5. In case of AI/software/tool-based courses, suggest relevant freeware. Write/review and test the codes to check.
6. Review readings (4-6 per course, each up to 1200 words) and confirm technical accuracy of the content, suggest edits and updates as required. Incorporate one round of internal and client feedback.
7. Create hands-on activities (1-2 lab or any other client preferred format) per course. Incorporate one round of internal and client feedback.
8. Review practice quiz and graded assessments (5 files, each comprising 5-10 questions) and suggest suitable edits, confirm technical accuracy. Incorporate one round of internal and client feedback.
9. Record talking head videos (onsite/virtually on Zoom) for each course. There will be approx 20-25 minutes of video recording involved per course. Incorporate one round of internal and client feedback.
10. Provide digital signatures to be included on the client platform.
11. For all reviews – validate the content accuracy and provide recommendations/suggestions, write/re-write to fill content gaps as necessary, write/test codes and labs, incorporate 1 round of internal feedback and 2 rounds of client feedback.
12. Be available for Client discussions and content discussions as and when required.
You must take the necessary steps to safeguard the integrity, security, and confidentiality of shared confidential information.
For additional information on Hurix, please visit: https://www.hurix.com/life-at-hurix/
