LLM Engineer

Company Overview

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Job Summary

The LLM Engineer will be responsible for developing, fine-tuning, and deploying machine learning and natural language processing (NLP) models. This role is crucial in enhancing the organization's capabilities in handling large language models to meet specific business needs.

Responsibilities

• Develop and implement large language models for various applications.
• Fine-tune pre-trained models using frameworks such as Hugging Face Transformers.
• Deploy ML/NLP models into production environments.
• Collaborate with cross-functional teams to understand application requirements and deliver effective solutions.
• Conduct performance evaluations and optimize models for efficiency and accuracy.

Qualifications

• Education: Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
• Technical Skills:
  • Proficient in Python programming.
  • Experience with Hugging Face Transformers library.
  • Familiarity with NLP libraries such as SpaCy and NLTK.
  • Knowledge of fine-tuning models and deployment processes.
• Soft Skills:
  • Strong analytical and problem-solving abilities.
  • Excellent communication and teamwork skills.
  • Detail-oriented and capable of working independently.

Preferred Skills

• Experience with cloud platforms for model deployment (e.g., AWS, Azure).
• Knowledge of additional NLP tools and libraries.
• Familiarity with version control systems (e.g., Git).

Experience

• Minimum of 7 years of experience in software engineering or a related field, with 4+ years specifically in ML/NLP.

Environment

This position is fully remote, allowing for flexible work arrangements.

Salary

Estimated budget of 1.5 lakh per month (1.5lpm).

Growth Opportunities

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Benefits

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