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