Machine Learning Engineer (Fine-tuning / Applied) (India)

Machine Learning Engineer (Fine-tuning / Applied) (India)

05 Aug
|
Buildingblocks Software Services
|
India

05 Aug

Buildingblocks Software Services

India

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.

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

- Robust 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.

📌 Machine Learning Engineer (Fine-tuning / Applied) (India)
🏢 Buildingblocks Software Services
📍 India

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