AI Engineer for Large Language Model Development
1 week ago
Job Title: AI Engineer for Large Language Model Development
We are seeking an experienced AI Engineer to join our team at LTIMindtree, specializing in the development and maintenance of Generative AI applications using models like Vertax Gemini, OpenAI ChatGPT, and LLaMA. The ideal candidate will have a strong understanding of machine learning algorithms and techniques, as well as hands-on experience with Python and large language models.
About the Role:
This is an exciting opportunity for a skilled AI Engineer to work on cutting-edge projects, develop high-quality code, and collaborate with cross-functional teams. As a key member of our team, you will be responsible for fine-tuning large language models, participating in requirement analysis, providing technical solutions, and estimating development timelines.
Responsibilities:
- Develop and maintain GenAI applications using models like Vertax Gemini, OpenAI ChatGPT, LLaMA, etc.
- Fine-tune large language models with emphasis on instruction fine-tuning and domain adaptation to enhance model relevance and performance in specific contexts.
- Participate in requirement analysis, provide technical solutions, and estimate development timelines.
- Write high-quality, maintainable code and deliver product features on schedule.
- Collaborate with the frontend and backend development team to define API specifications and ensure efficient and accurate data communication between frontend and backend.
Requirements:
- Strong understanding of machine learning algorithms and techniques.
- Proficient in the LLMs like Vertax Gemini, OpenAI ChatGPT, LLaMA, etc., frameworks like LlamaIndex, Langchain, etc., with a strong understanding of its best practices, along with hands-on project experience.
- Strong skills in Python, with hands-on project experience.
- Strong code quality awareness and extensive debugging experience, with the ability to write unit tests.
- Experience with Agile development processes and familiarity with version control tools like Git.
- Excellent analytical and problem-solving skills, with the ability to respond quickly and resolve technical issues during development.
Nice-to-Haves:
- Experience with deep learning frameworks such as TensorFlow or PyTorch.
- Familiarity with Fast API framework, with practical experience in real projects.
Salary: ₹2,500,000 - ₹4,000,000 per annum, depending on experience.
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