On-Site
Full-Time
Noida, Uttar Pradesh
India
About the Role
Job Summary:
We’re looking for a passionate and driven Machine Learning Engineer with 1 year of hands-on experience working with Large Language Models (LLMs), Natural Language Processing (NLP), Python, and web scraping. The ideal candidate should have practical exposure to real-world NLP tasks and be comfortable fine-tuning models and building end-to-end pipelines.
✅ Key Responsibilities:
Work on fine-tuning and integrating LLMs for various use cases.
Build and maintain NLP pipelines for text classification, summarization, or Q&A systems.
Perform web scraping to gather structured and unstructured data using Python libraries like BeautifulSoup, Scrapy, or Selenium.
Collaborate with the team to deploy and test ML models in production environments.
Continuously evaluate model performance and optimize based on feedback.
🧰 Requirements:
1 year of hands-on experience in Machine Learning, specifically in NLP and LLMs.
Strong programming skills in Python.
Experience with web scraping tools and libraries.
Familiarity with ML libraries such as Hugging Face Transformers, spaCy, NLTK, or Scikit-learn.
Basic understanding of model evaluation and tuning techniques.
Good problem-solving skills and ability to work independently.
💡 Good to Have:
Experience with prompt engineering or RAG-based architectures.
Knowledge of API integration for AI/LLM services (e.g., OpenAI, Cohere, etc.).
We’re looking for a passionate and driven Machine Learning Engineer with 1 year of hands-on experience working with Large Language Models (LLMs), Natural Language Processing (NLP), Python, and web scraping. The ideal candidate should have practical exposure to real-world NLP tasks and be comfortable fine-tuning models and building end-to-end pipelines.
✅ Key Responsibilities:
Work on fine-tuning and integrating LLMs for various use cases.
Build and maintain NLP pipelines for text classification, summarization, or Q&A systems.
Perform web scraping to gather structured and unstructured data using Python libraries like BeautifulSoup, Scrapy, or Selenium.
Collaborate with the team to deploy and test ML models in production environments.
Continuously evaluate model performance and optimize based on feedback.
🧰 Requirements:
1 year of hands-on experience in Machine Learning, specifically in NLP and LLMs.
Strong programming skills in Python.
Experience with web scraping tools and libraries.
Familiarity with ML libraries such as Hugging Face Transformers, spaCy, NLTK, or Scikit-learn.
Basic understanding of model evaluation and tuning techniques.
Good problem-solving skills and ability to work independently.
💡 Good to Have:
Experience with prompt engineering or RAG-based architectures.
Knowledge of API integration for AI/LLM services (e.g., OpenAI, Cohere, etc.).