Descrição do trabalho
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Data de publicação:
Jan 16, 2024
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Data de expiração:
Jan 31, 2025
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Localização:
Sofia, Bulgária
Descrição do trabalho
Our collaborator is based in Bulgaria, they provide personalized consulting services and tailor-made solutions for each business they collaborate with. Their expertise lies in cutting-edge technologies like LLMs, predictive analytics, stable diffusion, and the creation of unique AI-generated content designed to captivate influencers' audiences. Their mission is to empower businesses with seamless AI transitions and the automation of repetitive tasks. They aspire to become a dynamic mid-cap consulting firm known for inspiring trust, pragmatism, efficiency, quality, and innovation through their creative use of social media.
TASKS:
- Data Analysis & Modeling:
- Develop and implement statistical models and algorithms.
- Conduct complex data analysis and report on results.
- Collaborate with senior data scientists to refine and improve models.
- Python Programming:
- Utilize Python for data manipulation, analysis, and model development.
- Implement best practices in Python coding and participate in code reviews.
- Large Language Models (LLMs):
- Work with LLMs like GPT-4 for natural language processing tasks.
- Contribute to the development and tuning of LLMs for specific applications.
- Machine learning model development, evaluation and deployment.
- Stay updated with the latest advancements and updates in Hugging Face ecosystem.
- Collaboration & Communication:
- Collaborate with cross-functional teams to understand business needs and provide data-driven solutions.
- Communicate complex data findings in a clear and understandable manner to non-technical stakeholders.
REQUIREMENTS:
- Bachelor’s degree in Computer Science, Statistics, Mathematics, or related field.
- Proficiency in Python programming.
- Understanding of large language models (LLMs) and their applications.
- Familiarity with statistical analysis and modeling techniques.
- Experience with Hugging Face and common machine learning libraries.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
BENEFITS:
- Fully remote.
- Between 30 and 40 work hours per week.
- Salary range: 250-300 euros.
- Flexibility and a youthful, dynamic work environment.
- Comprehensive training ineffective AI technology utilization.
- This position offers the potential for future employment.