Prompt Engineer at Siemens Technology and Services Private Limited
Posted on (a month ago)
Location: Bengaluru, India
Industry: Software Development
Job Type: full-time
Experience Level: entry-level
The primary role is to harness the power of prompt-based AI models, such as GPT (Generative Pre-trained Transformer) models, to generate human-like text or responses to specific queries or tasks.
These models have a wide range of applications, including natural language understanding, chatbots, content generation, and more.
A Prompt Engineer is responsible for configuring and fine-tuning these models to produce desired outputs efficiently and effectively.
- Model Configuration: Configure the AI model with appropriate prompts and parameters.
- Fine-tuning: Fine-tune pre-trained models on specific datasets.
- Prompt Engineering: Craft effective prompts that elicit the desired responses.
- Performance Optimization: Continuously optimize the model's performance.
- Data Management: Handle data related to prompts and model inputs effectively.
- Monitoring and Debugging: Monitor model behavior and identify issues.
- Scaling and Deployment: Deploy AI models in production environments.
- Ethical Considerations: Be aware of ethical considerations, such as bias, fairness, and privacy.
- Documentation: Maintain documentation of prompt configurations, model versions, and best practices.
- Collaboration: Collaborate with cross-functional teams.
- Natural Language Processing (NLP): Proficiency in NLP concepts and techniques.
- Deep Learning: Understanding of deep learning fundamentals.
- Programming Languages: Strong programming skills, particularly in Python.
- Model Fine-tuning: Experience with fine-tuning pre-trained language models.
- Prompt Design: Ability to design effective prompts.
- Data Handling: Skills in data preprocessing, data management, and data encoding.
- Performance Optimization: Knowledge of techniques to optimize the quality and diversity.
- Deployment: Experience in deploying AI models in production environments.
- Ethical AI: Awareness of ethical considerations in AI.
- Collaboration and Communication: Strong teamwork and communication skills.
- Monitoring and Debugging: Proficiency in monitoring model behavior and debugging issues.
- Documentation: Ability to maintain clear and organized documentation.
Matches your job preferences, job type is Full-time.