Draup
Website:
draup.com
Job details:
About The Role
We are an innovation-driven tech company seeking top-tier Computer Science graduates who are passionate about data, AI, and building transformative solutions. Our environment is built for those who love to play with massive datasets, engineer data relationships in Python, and push the boundaries of AI and machine learning in AWS elastic computing environments.
What Youll Do
- Work with Massive Data : Process and analyze large-scale datasets on AWS elastic computing platforms.
- Build Data Relationships : Develop and optimize data pipelines, build scalable machine learning models, and uncover deep insights.
- Develop in Python : Leverage Python, PyTorch, Pandas, and NumPy to create intelligent systems.
- Open-Source Contributions : Commit high-quality code to repositories on Hugging Face, GitHub, or other AI communities to drive innovation and gain industry recognition.
- AI Research & Experimentation : Push the boundaries of LLMs, and generative AI, experimenting with new architectures and methodologies.
- Deploy and Scale : Optimize and deploy ML models and APIs that solve real-world business problems.
- Collaborate & Innovate : Work alongside top engineers, researchers, and data scientists to explore uncharted territories in AI.
What Were Looking For
- Degree : Bachelors or Masters
- Coding Expertise : Strong experience in Python
- Machine Learning & AI : Familiarity with transformers, LLMs, embeddings, fine-tuning models, and deep learning frameworks.
- Open-Source Contributor : Passion for contributing to AI and data science communities, preferably with experience in Hugging Face, GitHub, Kaggle, or similar platforms.
- Problem Solver : A sharp, self-driven thinker who loves tackling complex challenges and delivering innovative solutions.
(ref:hirist.tech)
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