[High Salary] Generative AI Engineer
1 week ago
Responsibilities:
- Model Development and Fine-tuning:Develop, train, and fine-tune advanced LLMs for various generative AI applications, including text generation, summarization, and translation.- Explore and implement innovative techniques to enhance model performance and efficiency.- Agentic Framework Design and Implementation:Design and implement robust Agentic Frameworks to empower AI agents with autonomous decision-making and goal-oriented behavior.- Integrate LLMs with the Agentic Framework to enable natural language understanding and generation in complex scenarios.- Conversational AI Development:Build sophisticated conversational AI systems that can engage in natural and informative dialogues with users.- Design and implement dialogue management strategies to ensure smooth and coherent conversations.- Experimentation and Innovation:Stay up-to-date with the latest advancements in generative AI and explore novel approaches to problem-solving.- Conduct experiments to evaluate the effectiveness of different techniques and models.- Collaboration:Collaborate with cross-functional teams, including data scientists, engineers, and product managers, to bring innovative AI solutions to market.
Qualifications:
- Strong foundation in machine learning, deep learning, and natural language processing.- Experience with large language models, such as GPT-3, BERT, or T5.- Proficiency in Python and relevant AI frameworks (TensorFlow, PyTorch, Hugging Face).- Understanding of reinforcement learning and its application to AI agents.- Familiarity with conversational AI techniques, such as dialogue management and intent recognition.- Excellent problem-solving and analytical skills.- Passion for AI and a strong desire to push the boundaries of what's possible.
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