Remote/Hybrid
3 - 6 years
ML/NLP
About BuildingBlocks
Regardless of whether accomplishing astounding customer work or aiding assemble our organization from the inside, our different gifted organization shares a solitary mission: to fabricate lovely encounters that decidedly affect individuals’ lives and the organizations we serve.
Our way of life is more reason than work, mixing the quest for certified human association with a fastidious way to deal with the things we make. All with an idealistic soul. We’re an organization that is adequately youthful to be fun and defiant – yet intense and driven enough to immensely affect the business.
Our way of life is more reason than work, mixing the quest for certified human association with a fastidious way to deal with the things we make. All with an idealistic soul. We’re an organization that is adequately youthful to be fun and defiant – yet intense and driven enough to immensely affect the business.
Experience
- 3–6 years in ML/NLP
Role Overview
You will lead the fine-tuning and evaluation of open-source LLMs (e.g., Llama, Mistral, Qwen). This
role requires hands-on skills in Python, PyTorch, Hugging Face, and distributed training frameworks.
Responsibilities
- Strong coding in Python and PyTorch.
- Experience with Hugging Face, DeepSpeed, or similar frameworks.
- Familiarity with distributed training and GPU optimization.
- Knowledge of transformers, attention mechanisms, and NLP workflows.
- Bonus: Experience in domain-specific fine-tuning (finance, legal, etc.).
Requirements
- Prior product management experience in SaaS or AI/ML products.
- Understanding of LLMs, NLP, and AI-driven product workflows.
- Strong communication skills to work with cross-functional teams.
- Bonus: Experience with enterprise SaaS or PropTech.