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Prompt Engineer
4 months ago
At DMS International (DMS), we are the catalyst for effective workforce transformation. To achieve this, we hire professionals who take pride in doing quality work and who are excited about contributing to the professional development of tomorrow's leaders. We are also committed to leveraging data-driven insights to develop and deploy AI infused models into existing business functions. DMS currently uses Watsonx and Hugging Face as a platform to assist its professional development programs.
DMS seeks candidates that possess and display the attributes that reflect our Core Values of:
- Quality in delivering solutions,
- Leadership,
- Innovation,
- Teamwork,
- Integrity in conduct,
- Responsiveness to our customer's mission
Job Description
We are seeking a talented and creative Prompt Engineer to join our team. As a prompt engineer at DMS International, you will play a key role in designing, developing, and refining natural language prompts for AI models, including language models like GPT (Generative Pre-trained Transformer).
Responsibilities
- Collaborate with researchers, data scientists, and software engineers to define and implement prompt strategies for various AI applications and use cases.
- Design and develop high-quality prompts and instructions to guide AI models in generating relevant and coherent responses to user queries and inputs.
- Conduct experiments and evaluations to assess the effectiveness of different prompt configurations and techniques in improving AI model performance.
- Explore novel approaches and methodologies for prompt engineering to enhance the capabilities and versatility of AI models.
- Work closely with product teams to understand user requirements and feedback and incorporate them into prompt design and development processes.
- Stay up-to-date with the latest research and advancements in natural language processing (NLP) and prompt engineering and apply them to improve our AI systems.
- Bachelor's or in Computer Science, Engineering, Linguistics, or related field. Master's degree is preferred.
- 3 years of experience in a research or engineering role, with a focus on natural language processing or related areas.
- Strong proficiency in programming languages such as Python, with experience in developing and deploying NLP models and applications.
- Solid understanding of machine learning and deep learning techniques, particularly as applied to NLP tasks.
- Knowledge of linguistics and language theory, with the ability to analyze and manipulate language data effectively.
- Experience with data analysis and experimental design, with the ability to conduct rigorous evaluations and draw meaningful conclusions.
- Excellent problem-solving skills and the ability to think creatively and critically about prompt design and optimization.
- Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
- Remote
- TBD