Roles and Responsibilities:
AI Prompt Engineering:
- Collaborate with the team to design and develop effective prompts for AI models.
- Experiment with different prompt strategies to enhance model performance and accuracy.
- Analyze and iterate on prompt engineering techniques to optimize model outputs.
LLM Training:
- Assist in the training and fine-tuning of large language models.
- Contribute to the development of training pipelines and workflows.
- Work on improving model efficiency, scalability, and resource utilization.
Machine Learning:
- Prioritization: Develop and implement algorithms for prioritizing tasks, data, or processes based on machine learning techniques.
- NLP-Based Classification: Build models for natural language processing-based classification tasks, ensuring high accuracy and robustness.
- Clustering: Utilize machine learning algorithms for data clustering to uncover patterns and relationships in large datasets.
Collaboration and Communication:
- Work closely with cross-functional teams to understand project requirements and objectives.
- Communicate effectively with team members and present findings in a clear and concise manner.
- Collaborate with other data scientists, engineers, and stakeholders to drive project success.
Research and Innovation:
- Stay updated on the latest advancements in AI and ML technologies.
- Contribute to the research and development of new methodologies to solve challenging problems.
- Propose and implement innovative solutions to enhance model performance and efficiency.
Documentation:
- Document code, methodologies, and experiment results for future reference.
- Create clear and comprehensive documentation for models, algorithms, and processes.
Qualifications:
- Currently pursuing a degree in Computer Science, Data Science, or a related field.
- Strong programming skills in languages such as Python, and experience with relevant libraries and frameworks.
- Familiarity with AI and ML concepts, including natural language processing, deep learning, and model training.
- Knowledge of prompt engineering techniques and large language models.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills.
- Ability to work independently and as part of a team.
If you are an accomplished and skilled Data Scientist with experience in large language models, frameworks such as OpenAI, Hugging Face, and Langchain, and the ability to review, improve, and leverage Transformers, we encourage you to apply. We offer a competitive salary, excellent benefits, and a dynamic work environment where you can make a significant impact on the development of cutting-edge technology and be a part of the next growth in Cybersecurity.
