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4 days ago
- We are seeking an accomplished data analyst/scientist with a passion for artificial intelligence, machine learning, and deep learning to join our dynamic team.
- The ideal candidate will have experience in generative models, large language models (LLMs), and advanced AI techniques, and will contribute to solving complex business challenges.
Key Responsibilities:
- 4+ years of experience in machine learning, deep learning, or AI research, with a focus on generative models.
- Experience with generative models such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and transformer-based models (e.g., GPT-3/4, BERT, DALL.E).
- Understanding of model fine-tuning, transfer learning, and prompt engineering in the context of LLMs.
- Knowledge of reinforcement learning (RL) and other advanced machine learning techniques applied to generative tasks.
- Strong programming skills in Python and familiarity with relevant libraries and frameworks.
- Proven experience in document detail extraction and feature engineering.
- Proficiency in data processing and manipulation techniques.
- Hands-on experience in building data applications using Streamlit or similar tools.
- Advanced knowledge in prompt engineering, chain of thought processes, and AI agents.
- Excellent problem-solving skills and the ability to work effectively in a collaborative environment.
- Strong communication skills to convey complex technical concepts to non-technical stakeholders.
Requirements:
- Graduate degree in Computer Science, Data Science, or related field.
- Experience working with large datasets and implementing scalable solutions.
- Ability to communicate complex ideas to both technical and non-technical audiences.
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