Data Scientist

Title: Data Scientist

Location: Remote

Experience: 2 to 4 years

Shift: General 11 to 8 PM

Compensation: As per market standards

About The Role

As a Data Scientist at Alif, you’ll work closely with a senior member of our research team on cutting-edge Applied AI, infrastructure, and tooling, aiming to democratize Generative AI for everyone.

Example Project

Build a RAG pipeline on top of internal documents.

Create a Python library on top of AWS services to enable GenAI for large enterprises.

Open source internal tools.

Implement neural network architecture from newly published papers.

Work on tools which work with fine-tuned models, vector databases, embeddings etc.

Develop more realistic simulations for training our agents.

Design automated methods and tools to prevent common issues with neural network training (e.g. overfitting, vanishing gradients, dead ReLUs, etc).

Create visualizations to help us gain a deeper understanding of what our networks learn and why.

Qualifications

Very comfortable writing Python.

Strong data structures, algorithms, and engineering mathematics background.

Familiarity with PyTorch and training deep neural networks is preferred but not mandatory

Excited to work on open-source code.

Passionate about engineering best practices.

Self-directed and independent.

Strong English language skills are a must.

Education

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field

Why Work Here

Remote-First Flexibility

Enjoy work-life harmony in a remote-first environment that allows you to work from anywhere.

Innovative Culture

We embrace a startup mindset, encouraging creativity, agility, and growth. Be part of a team that explores cutting-edge technology and drives impactful solutions.

Career Development

Alif is committed to your growth, offering mentorship and opportunities to advance your career, with potential for full-time roles after initial contracts.

Purpose-Driven Mission

Join us in making a difference. Alif is dedicated to championing diversity, supporting women in tech, and fostering sustainable practices.

Global Collaboration

Work alongside a diverse, talented team, sharing insights and collaborating to create innovative solutions that make a real impact.