[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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About Turing.com: TuringÂs mission is to unleash the worldÂs 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 ÂTalent CloudÂ. 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!Â
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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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