Part-Time Remote Python Data Analyst Jobs Job ID- 3255

MaziCTools

United States

Remote

USD 120,000 - 180,000

Full time

3 days ago

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Job summary

Turing is hiring a Python developer focused on web applications powered by large language models. You will build scalable, data-driven tools and dashboards, ensure robust testing, and work with cutting-edge generative AI techniques.

The role emphasizes Python-based data analysis, visualization, and deployment for LLM-enabled solutions, with ongoing learning in AI advancements.

Qualifications

Bachelor’s/Master’s degree in computer science or equivalent experience.
3+ years of professional experience in software development, focusing on Python.
Experience 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 ML 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 or VAEs.

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.

Skills

Python

LLMs

Data analysis

NLP concepts

Generative AI

Education

Bachelor’s/Master’s in CS or equivalent

Tools

TensorFlow

PyTorch

Hugging Face Transformers

Job description

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 AutoencodersShow full descriptionCollapse

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