
AI Researcher
2 days ago
We are seeking a highly skilled professional to join our dynamic team as a Data Scientist. The ideal candidate will have experience in machine learning, deep learning, and advanced AI techniques, and contribute to solving complex business challenges.
The role involves working with generative models, LLMs, and other advanced AI techniques to drive business growth and innovation.
Key responsibilities include:
- Developing and implementing machine learning and deep learning models to solve complex business problems.
- Collaborating with cross-functional teams to identify opportunities for AI-driven solutions.
- Conducting research on the latest advancements in AI and ML to stay up-to-date with industry trends.
- Designing and developing data pipelines to facilitate efficient data processing and analysis.
- Working closely with stakeholders to understand business needs and develop effective solutions.
Requirements:
- 4+ years of experience in machine learning, deep learning, or AI research.
- Experience with generative models such as GANS, VAEs, 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 large language models (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.
Benefits:
- Competitive salary and benefits package.
- Opportunities for career growth and professional development.
- Collaborative and dynamic work environment.
- Access to cutting-edge technology and tools.
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