We are seeking a Data Scientist with expertise in machine learning, large language models (LLMs), and AI-driven solutions. The ideal candidate will have a strong foundation in traditional statistical models and machine learning techniques, coupled with hands-on experience in LLM development and prompt engineering. This role requires technical proficiency in Python, Docker, and GitLab CI/CD, with a preference for experience in FastAPI. We value individuals who take initiative, demonstrate great work ethics, and focus on the overall success of projects.
Key Responsibilities
- Develop, train, and optimize traditional machine learning models for data analysis and predictive insights.
- Apply expertise in LLMs and prompt engineering to create and refine AI-driven applications.
- Utilize Python, Docker, and GitLab CI/CD for model development, automation, and deployment.
- (Preferred) Implement FastAPI for building scalable APIs and integrating machine learning models into production environments.
- Collaborate with cross-functional teams to drive AI-powered innovations and ensure project success.
- Maintain a high standard of coding practices, version control, and model performance evaluation.
Qualifications & Skills
- Strong understanding of machine learning models, statistical analysis, and data science principles.
- Hands-on experience with LLMs, prompt engineering, and AI model optimization.
- Proficiency in Python, Docker, and GitLab CI/CD for data science workflows.
- (Preferred) Experience with FastAPI for API development and deployment.
- Strong problem-solving skills and a proactive approach to project execution.
- Excellent teamwork, communication, and initiative in delivering impactful solutions.