Applied Data Scientist

📋 Description

• Assist in the design and development of pipelines powered by LLMs and components of AI applications.

• Develop and evaluate prompt engineering techniques, retrieval-augmented generation (RAG) configurations, or agent workflows.

• Support model evaluation by creating metrics, conducting benchmarks, and analyzing outcomes.

• Assess system performance and pinpoint areas for enhancement in terms of latency, accuracy, or costs.

• Integrate AI coding tools into your workflow as a fundamental resource—utilizing them as a powerful multiplier rather than a shortcut.

• Work collaboratively with senior engineers and researchers to gain insights into the architecture of production AI systems.

⛳️ Requirements

• Currently enrolled in a Bachelor's or Master's program in Computer Science, Data Science, Statistics, or a related discipline.

• Anticipated graduation date in 2026 or 2027.

• Proficient in Python programming and comfortable with data manipulation using tools such as Pandas and NumPy.

• Basic knowledge of machine learning principles and familiarity with at least one deep learning framework, preferably PyTorch.

• A keen interest in LLMs and generative AI, with hands-on experimentation demonstrating this curiosity.

• Capability to deconstruct complex challenges and methodically address them.

• Available for a full-time commitment of 6 months.

🏝️ Benefits

• Gain hands-on experience in the rapidly evolving field of AI and machine learning.

• Collaborate with leading experts and enhance your professional network.

• Opportunity to contribute to innovative projects that have a real-world impact.