AI/ ML Engineer Research Focus
2 weeks ago
Job Description: AI/ML Research Engineer with LangChain and LLM Expertise We are seeking a talented AI/ML Research Engineer with expertise in transformer architectures, large language models (LLMs), and LangChain to join our innovative team. The ideal candidate will have a strong understanding of both the theoretical and practical aspects of LLMs and experience integrating various models into dynamic systems. You will work on cutting-edge AI projects, contributing to the development of question-answering systems, conversational agents, and document analysis tools, while ensuring seamless API integration. Key Responsibilities: ● LLM Expertise: ○ Develop and fine-tune transformer-based models (e.g., GPT, BERT, etc.) ○ Implement tokenization and embedding strategies to optimize model performance. ○ Utilize prompt engineering techniques to design effective interactions with LLMs. ○ Apply fine-tuning and transfer learning to enhance existing models. ○ Explore and implement various LLM architectures to solve real-world problems. ● LangChain Integration: ○ Build and deploy systems using LangChain's core concepts, such as Chains, Agents, and Memory. ○ Integrate diverse LLMs into LangChain workflows to create custom agents and tools. ○ Implement conversational memory to enable dynamic and context-aware interactions. ○ Develop document analysis and retrieval systems using LangChain modules. ○ Construct advanced question-answering systems leveraging LangChain and LLMs. ● API Development and Integration: ○ Design and implement APIs for seamless integration of AI models with external applications. ○ Work with cross-functional teams to integrate research outcomes into production systems. ○ Ensure APIs enable smooth interaction with external systems, databases, and third-party tools. Qualifications: ● Strong understanding of transformer architecture and LLM types (e.g., GPT, BERT, etc.) ● Hands-on experience with LangChain's modules and building tools within the framework. ● Proficiency in tokenization, embeddings, and designing models for prompt engineering. ● Experience with fine-tuning, transfer learning, and model optimization. ● API development and integration experience in Python, along with frameworks such as FastAPI, Flask, or Django. ● Experience with ML frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. ● Strong programming skills in Python and proficiency in creating scalable ML pipelines. ● Familiarity with machine learning fundamentals, deep learning techniques, and model evaluation. ● Excellent problem-solving and communication skills, with an ability to work cross-functionally Bonus Skills: ● Experience working with LangChain to build custom conversational agents. ● Understanding of document retrieval and knowledge-based systems. ● Familiarity with deploying LLMs into production and optimizing performance. Join us and be part of a team driving innovation at the intersection of AI research, LLMs, and LangChain development Apply today to contribute to pioneering projects and advance the future of AI.
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