Description

You will build, scale, and deploy large-scale machine learning and deep learning systems, with a focus on NLP, LLMs, and RAG architectures.

This role is on-site.

Responsibilities

• Build and scale machine learning and deep learning models for production.
• Develop and maintain NLP and NLG tools.
• Implement and fine-tune Large Language Models (LLMs).
• Apply RAG and LangChain frameworks to solve complex data problems.

Required Skills

• PhD in Computer Science, Statistics, Math, Engineering, or a related field.
• 3+ years of experience building large-scale machine learning or deep learning systems.
• 1+ year of experience with deep learning architectures including CNN, RNN, and LSTM.
• 1+ year of experience building NLP and NLG tools.
• Experience with LLMs such as Llama, Claude, OpenAI, and Cohere.
• Experience with LoRA, LangChain, RAG, and LLM fine-tuning.

Key Skills

Education

Any Gradute