Part-Time Remote Python Data Analyst

Turing’s mission is to unleash the world’s untapped human potential. We use AI to source, evaluate, hire, onboard, and manage engineers remotely (including the HR and compliance aspects) in a bigger platform that we call the “Talent Cloud”… We recently achieved unicorn status with a valuation of $1.1B, after raising over $140M in financing over four rounds of funding. 1000+ companies including companies like Johnson & Johnson, Pepsi, Dell, Disney +, have hired Turing developers.

We’re seeking Python developers passionate about web development and proficient in LLMs to create highly scalable, customer-centric, and efficient web applications.

• 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.

• 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 Tensor Flow and PyTorch.
• Proficiency in Python for developing and optimizing data analysis solutions.
• Hands-on experience with machine learning libraries like Tensor Flow, 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 Show full descriptionCollapse

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