LLM Python Machine Learning

Candidate location(s): Europe, Latam, Asia (No OFAC countries)

Work type: Full time, 100% Remote

Job type: Contract

Duration: 6 months

Positions: 50

Notice: 2 weeks or less

Pay: Up to $20/hr

Working hours: Monday to Friday, 8 hours, 5 hours PST overlap

ABOUT THE ROLE

A leading NASDAQ-listed company, renowned for its innovative contributions to the technology sector, is looking to onboard a skilled Python Developer with a focus on Machine Learning and Computer Vision. The successful candidate will play a key role in expanding the power of AI within the mobile coding ecosystem, contributing to the development of AI-powered tools for the next generation of coding assistance agents. This is a fantastic opportunity for engineers eager to learn and grow in a fast-paced environment.

Responsibilities:

• Develop, train, and deploy machine learning models using TensorFlow and/or PyTorch.
• Implement machine learning models and preprocessing pipelines using Scikit-learn.
• Apply supervised and unsupervised learning algorithms, including SVM, Decision Trees, Random Forest, and k-NN, to solve complex problems.
• Design and implement deep learning architectures such as CNNs, RNNs, GANs, and transfer learning models.
• Explore and apply reinforcement learning techniques to enhance AI solutions.

Requirements:

• Bachelor’s/Master’s degree in Engineering, Computer Science, or a related field.
• At least 2 years of experience as a Python-focused Engineer.
• At least 1 year of experience with Python-based frameworks for machine learning.
• Mandatory skills:, Python for Data Science: min 1 yr, PyTorch: min 1 yr, Keras: min 1 yr, Tensorflow: min 1 yr
• Proficiency in TensorFlow and/or PyTorch for model development and deployment.
• Strong knowledge of Scikit-learn for machine learning model implementation.
• In-depth understanding of supervised and unsupervised learning algorithms, as well as deep learning architectures.

Nice to Have:

• Experience with Keras for quick prototyping of deep learning models.
• Proficiency in Pandas and Numpy for data manipulation and preprocessing.
• Familiarity with Large Language Models (LLMs) and their applications in AI.
• Excellent spoken and written English communication skills.