AANSEAA Technologies | LLM Engineer
14 hours ago
We are seeking a highly skilled LLM (Large Language Model) Scientist with a strong background in machine learning, natural language processing (NLP), and deep learning to join our team. The ideal candidate will play a key role in developing, fine-tuning, and deploying state-of-the-art language models for various applications. If you have a passion for working on cutting-edge AI technologies, we want to hear from you.
Key Responsibilities:
- LLM Fine-Tuning: Research, fine-tune, and deploy large language models (LLMs) to solve various AI challenges.
- Generative AI Solutions: Create advanced AI solutions for real-world use cases, from prototypes to production systems.
- RAG Pipelines: Develop Retrieval-Augmented Generation (RAG) pipelines to improve AI output accuracy.
- Prototyping: Build quick, functional demos using tools like Streamlit or Dash.
- Data Handling: Use algorithms and data structures to process unstructured data effectively.
- System Optimization: Debug, profile, and scale machine learning systems for high performance.
- Team Collaboration: Work with data scientists, engineers, and others to tackle complex problems.
- Stakeholder Communication: Clearly explain technical concepts and project progress.
Qualifications:
- Education: Bachelor’s degree in Computer Science, IT, or related field (or equivalent experience).
- Experience: 5+ years in software development, especially in AI and machine learning.
- Hands-on experience with Generative AI and fine-tuning LLMs.
Skills:
- Programming: Proficient in Python, Java, or C++.
- AI & Data Science: Strong knowledge of AI and Generative AI techniques.
- LLM & RAG Expertise: Experience with fine-tuning LLMs and designing RAG pipelines.
- Prototyping Tools: Familiarity with frameworks like Streamlit or Dash.
- System Performance: Proven ability to optimize and scale machine learning systems.
Soft Skills:
- Excellent communication and problem-solving abilities.
- Ability to work in unstructured, ambiguous scenarios.
Performance Expectations:
- Develop and fine-tune LLMs to meet application needs.
- Create prototypes to demonstrate AI applications.
- Collaborate with a team to deliver innovative AI-driven solutions.
- Ensure systems are scalable and efficient.
- Document work and provide regular updates to stakeholders.
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