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.RequirementsStrong understanding of machine learning models, statistical analysis, and data science principles.GCP proficiency is a mustHands-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.Availability to work EST hoursResponsibilitiesDevelop, 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.