Siemens Healthineers: Prompt Engineer-AI models
Job Title: Prompt Engineer – AI models
Location: Bengaluru, Karnataka, India (On-site)
Job Description:
Siemens Healthineers, a leader in the healthcare industry, is seeking a Prompt Engineer for AI models in Bengaluru, India. In this role, you will be at the forefront of harnessing the power of prompt-based AI models, such as GPT (Generative Pre-trained Transformer) models, to generate human-like text or responses tailored to specific queries or tasks. These models have wide-ranging applications, including natural language understanding, chatbots, content generation, and more. As a Prompt Engineer, you will be responsible for configuring and fine-tuning these models to efficiently and effectively produce desired outputs.
Roles and Responsibilities:
- Model Configuration: Configure the AI model with appropriate prompts and parameters to achieve desired text generation outcomes. Tailor the model to specific use cases.
- Fine-tuning: Adapt pre-trained models to specific datasets, using expertise in transfer learning and data preprocessing.
- Prompt Engineering: Craft effective prompts to elicit desired responses from the AI model, potentially involving template design, context specification, and prompt optimization.
- Performance Optimization: Continuously optimize the model’s performance, ensuring output quality, coherence, and relevance. Implement techniques like temperature scaling and sampling strategies.
- Data Management: Handle prompt-related data effectively, ensuring data integrity, cleanliness, and proper encoding for model input.
- Monitoring and Debugging: Monitor model behavior and performance, identifying and addressing issues, including those related to bias or inappropriate outputs.
- Scaling and Deployment: Deploy prompt-based AI models in production environments, ensuring efficient and reliable handling of high request volumes. Implement model versioning and monitoring.
- Ethical Considerations: Be aware of ethical considerations, such as bias, fairness, and privacy, and take steps to mitigate potential issues in generated text.
- Documentation: Maintain documentation of prompt configurations, model versions, and best practices for prompt engineering, facilitating knowledge sharing within the team.
- Collaboration: Collaborate with cross-functional teams, including data scientists, machine learning engineers, and domain experts, to align the model’s behavior with project objectives.
Key Skills Required:
- Natural Language Processing (NLP): Proficiency in NLP concepts and techniques, including tokenization, text generation, and language modeling.
- Deep Learning: Understanding of deep learning fundamentals, particularly transformer-based models like GPT.
- Programming Languages: Strong programming skills in Python for scripting and model implementation.
- Model Fine-tuning: Experience with fine-tuning pre-trained language models and transfer learning techniques.
- Prompt Design: Ability to design effective prompts for desired AI model responses.
- Data Handling: Skills in data preprocessing, data management, and data encoding for AI model inputs.
- Performance Optimization: Knowledge of techniques to optimize text quality and diversity.
- Deployment: Experience in deploying AI models in production using cloud services or containerization.
- Ethical AI: Awareness of ethical considerations in AI, especially in text generation, and strategies to address biases and fairness issues.
- Collaboration and Communication: Strong teamwork and communication skills for effective multidisciplinary collaboration.
- Monitoring and Debugging: Proficiency in monitoring model behavior and real-time issue resolution.
- Documentation: Ability to maintain clear and organized documentation for prompt configurations and model performance.
Work Type: Full-time