Requirements:

Currently pursuing or recently completed a Bachelor's or Master's degree in Computer

Science, Engineering, or a related field.

Strong interest in machine learning and deep learning, particularly with the goal of

working on real-world applications.

Familiarity with basic deep learning concepts and models is a plus.

Experience or basic knowledge in PyTorch or TensorFlow for building and training

models.

A problem-solving mindset and ability to learn quickly in a fast-paced environment.

Technical Skills:

Deep Learning Frameworks: Familiarity with tools like PyTorch or TensorFlow for

building and optimizing models.

Distributed Training: Exposure to concepts of scaling training across multiple nodes

and GPUs (like DeepSpeed) is a plus but not required.

Model Fine-tuning: Knowledge of techniques for adapting large, pre-trained models for

specific tasks.

Pipeline Orchestration: Basic understanding of tools like Dagster or Apache Airflow

for managing machine learning workflows.

Version Control: Experience with Git for collaborative development.

ETL Workflows: Understanding of data pipelines and database concepts, though

practical experience is not mandatory.

Exposure to AWS (Amazon Web Services) for deploying ML models or workflows is a

plus but not necessary.

What You’ll Learn Being Part of Sanas:

Deep Learning Model Optimization: Learn techniques to improve the performance and

scalability of deep learning models.

Fine-Tuning Large Models: Get hands-on experience with techniques for adapting and

improving large models for various applications.

Multi-node Training: Gain insight into distributed training methods using DeepSpeed to

scale models effectively.

Pipeline Development: Build and optimize machine learning pipelines using tools like

Dagster and Airflow.

Experiment Management: Track and manage experiments with tools like Weights and

Biases to optimize models.

Cloud Infrastructure: Learn how to work with AWS for deploying, managing, and

optimizing machine learning workflows.

Sanas.AI - Machine Learning

Station Overview