[Remote/WFM] Remote Python Data Analyst Jobs

An exciting opportunity awaits for a talented Remote Python Data Analyst! Based in our vibrant Remote office, this role is available now. This position requires a strong and diverse skillset in relevant areas to drive success. We offer a competitive compensation package, with a salary of a competitive salary.

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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.

About the role:

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

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.

Job 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). Apply Job!

   

  Don't Hesitate, Apply!

  Don't worry if you don't meet every single requirement. We value a great attitude and a willingness to learn above all. Submit your application today!

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