Llm Scientist
6 days ago
Hi All,
**Key Responsibilities**
- **LLM Fine-Tuning and Development**: Research, fine-tune, and deploy LLMs, optimizing their capabilities to solve diverse AI problems.
- **Generative AI Solutions**: Leverage advanced AI and machine learning techniques to build prototypes and production-grade solutions for various use cases.
- **RAG Pipelines**: Design and implement Retrieval-Augmented Generation pipelines to improve the accuracy and relevance of AI outputs.
- **Prototyping**: Build and demonstrate working prototypes using frameworks such as Streamlit or Dash.
- **System Performance and Debugging**: Profile, debug, and optimize machine learning systems for scalability and performance in large-scale environments.
- **Collaboration and Problem Solving**: Work collaboratively with data scientists, engineers, and cross-functional teams to solve unstructured, complex problems using AI.
- **Communication**: Communicate technical concepts and project updates clearly and effectively to stakeholders.
**Qualifications and Requirements**
- **Education**: Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent work experience).
- **Experience**:
- Minimum of 5 years of experience in software development, including relevant work in AI and machine learning.
- **Technical Skills**:
- **Programming Proficiency**: Strong coding skills in Python, Java, or C++.
- **Data Science and AI**: Solid foundation in data science and experience with Generative AI.
- **LLM Expertise**: Experience with fine-tuning large language models and familiarity with RAG pipelines.
- **Frameworks for Prototyping**: Proficiency in building prototypes using Streamlit, Dash, or similar app frameworks.
- **Algorithms and Data Structures**: Strong background in algorithms, data structures, and parsing unstructured data.
- **System Performance**: Experience with profiling, debugging, and ensuring the scalability of machine learning systems.
- **Preferred Experience**: Hands-on experience with Generative AI and fine-tuning LLMs.
- **Soft Skills**:
- Strong communication skills to convey complex technical ideas.
- Problem-solving ability, especially in unstructured and ambiguous scenarios.
**Performance Expectations**
- Design and deploy prototypes that showcase practical uses of LLMs and Generative AI.
- Collaborate effectively within a multidisciplinary team to develop innovative AI-driven solutions.
- Ensure scalable and high-performance AI systems through effective profiling and debugging practices.
- Maintain clear documentation and provide regular updates to team members and stakeholders.
**Location: Bangalore preferred.**
Schedule:
- Day shift
**Experience**:
- total work: 6 years (preferred)
Work Location: In person
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