
Unlocking AI Potential
1 week ago
We're looking for a Machine Learning Engineer to join our team. This is a full-time opportunity (40 hours/week) for someone who thrives in a dynamic environment and is passionate about solving real-world problems using advanced ML techniques.
The successful candidate will design and implement solutions using Large Language Models (LLMs), develop and fine-tune prompt engineering strategies for performance optimization, and work on Retrieval-Augmented Generation (RAG) pipelines and knowledge-grounded systems.
The ideal candidate will have strong hands-on experience with LLMs (OpenAI, HuggingFace, etc.), proficiency in prompt engineering, few-shot learning, and RAG frameworks, as well as a solid understanding of machine learning fundamentals and applied techniques.
- Design and implement solutions using Large Language Models (LLMs)
- Develop and fine-tune prompt engineering strategies for performance optimization
- Work on Retrieval-Augmented Generation (RAG) pipelines and knowledge-grounded systems
Our company values commitment and curiosity over formal degrees, and we appreciate individuals who take ownership and bring a solutions-first mindset. We are building a culture of speed, experimentation, and continuous learning.
What Matters to Us:- We value commitment and curiosity over formal degrees
- We appreciate individuals who take ownership and bring a solutions-first mindset
- We are building a culture of speed, experimentation, and continuous learning
- Type: Full-Time Intern (45-50 hours/week)
- Location: Remote (Gurugram residents preferred)
- Compensation: Competitive, based on experience and capability
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