Location: Remote (India)

About Galileo

Interested in shaping the future of Generative AI? At Galileo, our mission is to make AI safe and available to all. Our roots lie in leading the creation of some of the world’s most widespread AI applications from Apple’s Siri to Google Speech. We believe AI builders need well-crafted tools to create trustworthy and high-quality generative AI applications that will change how we work and live. 

Galileo addresses the challenges of experimenting with, evaluating, and observing LLM and GenAI applications, streamlining the development process for developers and teams. By providing a unified platform that supports experimentation, offers detailed performance metrics, enables version tracking, and enhances team collaboration, Galileo addresses these critical gaps, making it significantly easier for developers to refine and deploy sophisticated LLM and GenAI applications with confidence.

In a few short years since its inception, Galileo is already used by Fortune 10 banks, Fortune 50 telecommunications companies, as well as AI teams at Reddit, Headspace Health and many others. We are backed by top-tier investors and have offices in New York and San Francisco. 

Role Description

As an Applied Data Scientist at Galileo, you will be at the forefront of deploying and customizing advanced generative AI technologies for a diverse set of customers. Your role involves a dynamic combination of technical expertise and customer engagement, where you will work closely with customers to understand their unique AI challenges and deliver tailored solutions. Leveraging cutting-edge tools like retrieval augmented generation (RAG), large language models (LLM), and Galileo's proprietary technologies, you will develop, optimize, and integrate AI systems that drive significant improvements in customer workflows and decision-making processes.

In this role, you will also play a critical part in the iterative improvement of our technologies through continuous feedback and performance monitoring. You will provide expert-level support, troubleshoot and resolve issues, and conduct training sessions to empower users with the tools and knowledge needed to maximize the benefits of Galileo’s solutions. Your contributions will directly influence product strategy and development, ensuring that our solutions remain at the leading edge of industry standards and client expectations.

Main Responsibilities

1. Collaborate Closely with Customers: Engage directly with Galileo's customers to deliver solutions that address their specific generative AI challenges. This involves understanding their unique needs and proposing tailored applications of Galileo’s technologies.
   
   

2. Implement Advanced ML Techniques: Work hands-on with state-of-the-art machine learning technologies, including retrieval augmented generation (RAG), agents, tools, and other cutting-edge LLM technologies, to enhance customer applications.
   
   

3. Develop and Optimize LLMs: Build, train, and refine large language models such as Llama and Mistral tailored for Galileo's users. Utilize the Galileo platform to enhance the performance and efficiency of these models, ensuring they meet specific customer requirements.
   
   

4. Continuous Feedback: Establish a continuous improvement loop by gathering user feedback, monitoring system performance, and making necessary adjustments to models and solutions. This ensures the solutions remain effective and aligned with user needs.
   
   

5. Integration and Workflow Optimization: Assist in the seamless integration of Galileo technologies into customer workflows, ensuring that the solutions enhance operational efficiency and are easy to adopt.
   
   

6. Support and Troubleshooting: Provide expert technical support to customers, helping to troubleshoot issues and optimize the performance of deployed solutions. This includes responding to inquiries, diagnosing problems, and offering immediate solutions or workarounds.
   
   

7. Educate and Train Users: Conduct training sessions and workshops for customers to help them understand and effectively use Galileo’s products. This also involves creating documentation and resources that facilitate easier adoption and usage of the platform.

8. Contribute to Product Strategy: Provide insights and feedback from customer experiences to the product development teams to inform future product enhancements and new features. This role acts as a bridge between customer needs and the technical capabilities of Galileo.

Minimum Qualifications

• Education: Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.

• Experience: At least 2 years of relevant work experience in utilizing deep learning frameworks such as PyTorch, TensorFlow, or Keras to address product or business challenges.

• Technical Skills: Proficiency in statistical analysis and data science methodologies using Python, R, or SQL. Demonstrable experience in building and optimizing machine learning models.