Python Data Analyst Remote Jobs with U.S. Companies

Job description

Job responsibilities

  • Develop Python scripts tailored for data analysis and visualization.
  • Ensure the accuracy and functionality of Python code through rigorous testing and debugging, particularly in LLM applications.
  • Create and validate algorithms using Python.
  • Utilize Python libraries to visualize content and generate insightful reports.
  • Stay updated on Python, LLM, and Gen AI advancements through ongoing training and research.
  • Deploy and maintain Python solutions for LLM applications, promptly addressing issues.
  • Keep abreast of advancements in generative AI, such as LLMs, GPTs, GANs, VAEs, and related techniques. 
  • Evaluate large datasets for quality, accuracy, and perform advanced data analysis.

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Minimum requirements

  • Bachelor's/Master's degree in computer science or equivalent experience.
  • 3+ years of professional experience in software development, focusing on Python.
  • Demonstrated expertise in designing and implementing generative models with deep learning frameworks like TensorFlow and PyTorch.
  • Proficiency in Python for developing and optimizing data analysis solutions.
  • Hands-on experience with machine learning libraries like TensorFlow, PyTorch, or Hugging Face Transformers.
  • Understanding of NLP concepts for working with Large Language Models.
  • Familiarity with Generative AI techniques for creating new data samples, such as GANs (Generative Adversarial Networks) or VAEs (Variational Autoencoders).

Preferred skills

  • Strong analytical and problem-solving abilities.
  • Knowledge of statistical methods and techniques.
  • Familiarity with front-end technologies like JavaScript, HTML5, and CSS3.
  • Familiarity with working with LangChain, Data Science and SQL .
  • Experience working with RestfulAPIs and vector databases.
  • Basic exposure to object-relational mapper (ORM) libraries.
  • Previous experience working on projects involving LLMs.
  • Experience with fine-tuning pre-trained models such as GPT and BERT for specific data analysis tasks.
  • Proficiency in handling large-scale datasets for training and analysis in LLM applications.
  • Full-time availability with a 4-hour overlap with U.S. time zones.

Python Data Analyst Remote Jobs with U.S. Companies

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