Data Scientist

4 days ago

Islamabad, Islamabad, Pakistan beBee Careers Full time
Data Scientist - Machine Learning

As a Data Scientist - Machine Learning, you will be responsible for developing and deploying AI-powered solutions using Large Language Models (LLMs) and NLP techniques. This role requires a strong background in machine learning, deep learning, and statistical modeling, as well as experience with data preprocessing, feature engineering, and model optimization.

Key Responsibilities

  • Develop, train, and deploy machine learning models for predictive and classification tasks, with a focus on LLMs and NLP techniques for AI-powered applications.
  • Design and implement AI systems and algorithms for solving complex problems.
  • Build and maintain scalable data pipelines and workflows for data ingestion, transformation, and analysis.
  • Perform data preprocessing, cleaning, and feature engineering to prepare datasets for analysis.
  • Conduct exploratory data analysis to identify trends, patterns, and opportunities.
  • Integrate APIs and external services, including LLMs, to enhance model capabilities and system functionality.
  • Optimize AI and ML workflows for performance and scalability in production environments.
  • Monitor model performance, retrain models, and manage the lifecycle of deployed solutions.

Required Skills

  • Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field.
  • At least 2 years of experience in ML model development and deployment.
  • Experience working with Large Language Models (LLMs) and natural language processing (NLP) techniques for developing AI-powered applications.
  • Proficiency in Python and popular ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
  • Hands-on experience with data preprocessing, feature engineering, and model optimization.
  • Strong understanding of machine learning algorithms, deep learning, and statistical modeling techniques.
  • Experience with SQL and NoSQL databases, as well as cloud platforms (AWS, GCP, Azure).

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