- Prompt Development: Design, test, and refine prompts to maximize LLM performance in diverse business scenarios. Tailor prompts to guide models effectively, ensuring accurate and contextually relevant outputs. Experiment with various prompt structures and phrasings to optimize model responsiveness.
- Model Fine-Tuning: Collaborate with data scientists and machine learning engineers to fine-tune LLMs based on performance metrics and feedback. Identify areas for improvement in model responses and implement prompt adjustments accordingly.
- Research & Innovation: Stay abreast of the latest advancements in natural language processing and prompt engineering techniques. Conduct research on emerging methodologies and share insights with the team to drive innovation. Propose and implement new approaches to expand the applications and capabilities of LLMs.
- Use Case Development: Work closely with stakeholders to understand specific business objectives and develop prompts aligned with client goals. Ensure prompts are optimized for end-user needs across various applications, including customer engagement and virtual assistance.
- Bachelor’s or Master’s degree in Computer Science, Computational Linguistics, Data Science, or a related field; Ph.D. is a plus.
- 1-3+ years of experience in natural language processing, machine learning, or related roles.
- Proficiency in Python and familiarity with NLP libraries such as Hugging Face Transformers and spaCy.
- Strong understanding of LLMs (e.g., GPT-3, GPT-4, BERT) and experience in prompt engineering for specific applications.
- Excellent problem-solving and analytical skills with a keen attention to detail.
- Effective communication skills and the ability to work collaboratively with cross-functional teams.
- Experience with cloud platforms (AWS, Azure, Google Cloud) and their NLP services.
- Familiarity with machine learning frameworks such as TensorFlow and PyTorch.
- Knowledge of reinforcement learning and advanced AI techniques is a plus.
- Background in UX design or a strong understanding of user behavior is advantageous.
- Innovative Projects: Engage in cutting-edge projects that shape the future of digital transformation.
- Collaborative Culture: Be part of a team that values creativity, continuous learning, and mutual support.
- Professional Growth: Access opportunities for career advancement and skill development in a rapidly evolving field.