Freelance Panelist Gen Ai

4 days ago

Remote, India HARMONY ORTHO PHARMA SOLUTIONS LLP Full time

**Job Title: Expert Panelist for Machine Learning, Data Science, and Generative AI Interviews**

**Description**:
**Responsibilities**:

- Conduct remote technical interviews for Machine Learning, Data Science, and Generative AI roles.
- Provide structured feedback and ratings based on the interview.
- Collaborate with our hiring team to refine evaluation processes.

**Requirements**:

- **Experience**:

- Minimum of 5 years in Machine Learning, Data Science, or Generative AI-related roles.
- Hands-on experience in deploying AI/ML models or working with large datasets.
- Strong understanding of Gen AI models like GPT, BERT, or Stable Diffusion.
- **Technical Proficiency**:

- ML frameworks: TensorFlow, PyTorch, Scikit-learn, or similar.
- Data Science tools: Python (Pandas, Jump, Matplotlib), R, SQL, or cloud-based analytics tools.
- Experience with LLMs (Large Language Models), prompt engineering, or fine-tuning pre-trained models.
- Familiarity with MLOps, deployment pipelines, or cloud platforms like AWS, Azure, or GCP.
- **Communication Skills**:

- Ability to articulate complex concepts in a clear, concise manner.
- Prior experience in interviewing or mentoring professionals is preferred.

**Benefits**:

- Competitive compensation per interview.
- Flexible work hours - set your own schedule.
- Opportunity to collaborate with leading organizations in the AI/ML industry.
- Stay updated with the latest trends and talent in Machine Learning and AI.

**How to Apply**:

- A brief summary of your experience in Machine Learning, Data Science, and Generative AI.
- Your preferred time slots for conducting interviews.
- Any prior experience in technical hiring or mentoring.
- Your Expectation about Compensation.

Join us in shaping the next generation of AI and Data Science talent

**Job Types**: Full-time, Permanent, Freelance
Contract length: 3 months

Pay: ₹25,000.00 - ₹50,000.00 per month

Schedule:

- Day shift
- Morning shift

Supplemental Pay:

- Performance bonus

**Experience**:

- total work: 5 years (preferred)

Work Location: Remote

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