What You'll Do:
Collaborate with a team of experts to utilize and integrate existing openAI models into our platform.
Develop, deploy, finetune open source LLMs
Work on our data collection engine, contributing to the collection, processing, and labeling of diverse datasets.
Fine-tune machine learning models using LoRa (Long Range) communication technology to optimize performance for specific scenarios.
Drive innovation by experimenting with various machine learning techniques and methodologies.
Embrace a scrappy and fast-paced mindset, iterating quickly and finding efficient solutions to challenges.
What You'll Bring:
Strong proficiency in Python programming and software engineering best practices.
Experience using and deploying machine learning models in real-world applications.
Familiarity with existing openAI models and their integration into custom applications.
Solid understanding of machine learning concepts and techniques.
Ability to work with large datasets and train models for optimal performance.
Experience with data collection engines and handling diverse datasets.
Ability to work and learn quickly and independently when needed
Comfortable working with deep learning frameworks, such as PyTorch or TensorFlow.
Strong problem-solving skills and a drive to overcome challenges.
A scrappy and fast-paced mindset, focused on delivering results efficiently.
Ability to work effectively both independently and as part of a collaborative team.
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