Data Scientist Developer

Description

We are seeking a versatile Data Scientist to join our team and bridge the gap between traditional data analysis and cutting-edge Large Language Models (LLMs). In this role, you will be responsible for building end-to-end solutions, fine-tuning models, and leveraging advanced AI tools like Gemini.

This position is ideal for a strong Python developer who is deeply passionate about the evolving landscape of AI and eager to build production-ready AI applications. This is a new position.

Key Responsibilities

• Model Implementation:Design and deploy machine learning models using Python, focusing on both predictive analytics and Generative AI applications.
• LLM Integration:Develop applications using LLMs (e.g., Gemini, GPT-4, etc...) through API integration, prompt engineering, and customize workflows.
• Data Pipeline Development:Write clean, maintainable Python code to extract, transform, and load (ETL) data from various sources.
• Experimentation & Evaluation:Conduct rigorous testing and evaluation of model performance, ensuring AI outputs are accurate, grounded, and ethical.
• Collaboration:Work closely with product and analysts teams to integrate data insights and AI features into our core products.

Technical Qualifications

• Python:ÊHigh proficiency in Python and its data ecosystem (e.g.,Pandas, NumPy, Scikit-Learn, PyTorch/TensorFlow)
• LLM Expertise:Hands-on experience with LLM orchestration frameworks
• API Proficiency:Familiarity with calling and managing APIs.
• Database Knowledge:Experience with SQL
• Version Control:Comfortable using Git/GitHub for collaborative development.

Preferred Professional Background

• 1 to 3 years of experience with a strong portfolio of Python projects or a relevant degree.
• 1+ experience in deploying models into a production environment.
• A hacker mindset, the ability to keep up with the weekly changes in the AI space and self-teach new libraries.