
AI Researcher
6 days ago
Job Opportunity
">We are seeking a highly skilled and innovative Data Scientist to join our forward-thinking team.
">This role is ideal for someone who is passionate about advancing the fields of Classical Machine Learning, Conversational AI, and Deep Learning Systems, and thrives on translating complex mathematical challenges into actionable machine learning models.
">The successful candidate will focus on developing, designing, and maintaining cutting-edge AI-based systems, ensuring seamless and engaging user experiences.
">Additionally, the role involves active participation in a wide variety of Natural Language Processing (NLP) tasks, including refining and optimizing prompts to enhance the performance of Large Language Models (LLMs).
">Key Responsibilities:
">- Develop innovative Generative AI solutions using machine learning and AI technologies.
">- Design and develop machine learning models (regression, decision trees, SVMs, random forests, gradient boosting, clustering, dimensionality reduction) to address complex business challenges.
">- Train, fine-tune, and deploy deep learning models such as CNNs, RNNs, LSTMs, GANs, and Transformers to solve AI problems and optimize performance.
">- Participate in NLP activities, refining and optimizing prompts to improve outcomes for Large Language Models (LLMs), such as GPT, BERT, and T5.
">Required Skills and Qualifications:
">- Extensive experience in both classical machine learning techniques (e.g., regression, SVM, decision trees) and deep learning systems (e.g., neural networks, transformers).
">- Proven experience in NLP, especially with Large Language Models (LLMs) like GPT, BERT, or T5.
">- Proficiency in Python and relevant libraries such as NumPy, Pandas, Scikit-learn, and natural language processing libraries (e.g., Hugging Face Transformers, NLTK, SpaCy).
">Benefits:
">- Collaborative and dynamic work environment.
">- Opportunities for professional growth and development.
">Others:
">- Strong understanding of statistical modeling, probability theory, and mathematical optimization techniques used in machine learning.
">- Ability to manage time, displays appropriate sense of urgency and meet/exceed all deadlines.
">- Must be a good team player and self-motivated to achieve positive results.
">- Excellent communication skills in English.
">,-
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