Applied Data Scientist at Galileo

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

03 Feb, 26

Salary

0.0

Posted On

05 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Applied Data Science, Generative AI, Machine Learning, Large Language Models, Statistical Analysis, Python, R, SQL, Deep Learning, Customer Engagement, Product Strategy, Project Management, Communication Skills, Training, Performance Monitoring, Model Optimization

Industry

Software Development

Description

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 Implement Advanced ML Techniques: Work hands-on with state-of-the-art machine learning technologies, including Multi-agents, retrieval augmented generation (RAG), tools, and other cutting-edge LLM technologies, to enhance Galileo’s AI features. 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. Own and Evolve Metrics: Design, implement, and maintain evaluation metrics that power Galileo’s model intelligence system. Create high-quality datasets, engineer new prompts, and iterate on measurement frameworks to improve model performance tracking and interpretability. 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 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 3 years of professional experience applying deep learning frameworks such as PyTorch, TensorFlow, or Keras to real-world business or product challenges, including a minimum of 1 year of hands-on experience working with large language models (LLMs) in production or applied settings. Technical Skills: Proficiency in statistical analysis and data science methodologies using Python, R, or SQL. Demonstrable experience in building and optimizing machine learning models. Preferred Qualifications Advanced Degree: Master’s or Ph.D. in Data Science, Machine Learning, Computer Science, or a related field. Specialized Experience: Experience with large language models (LLMs) and technologies such as retrieval augmented generation (RAG) or similar ML models in production environments. Industry Knowledge: Prior experience in implementing AI solutions in real-world applications, particularly in sectors relevant to Galileo's client base. Project Management: Strong project management skills with a proven track record of leading projects from conception to implementation. Communication Skills: Excellent communication and interpersonal skills, capable of explaining complex technical details to non-technical stakeholders and conducting effective training sessions. Why Galileo Join a seasoned founding team that has previously led product and engineering teams from 0 to $100M+ in revenue and from 0 to 1B+ users globally We obsess over our team’s culture driven by inclusivity, empathy and curiosity We invest in our team’s development and happiness because our employees are the keys to our success and ensuring happy customers – towards that end, we offer: 🏥 Medical, Dental and Vision Insurance 🌴 Unlimited PTO 👶 Parental Leave (birthing & non-birthing) - 100% pay for 8 weeks 💰 401(k) Retirement Savings Plan 📈 Pre-IPO Stock Options 🚌 Commuter Benefits (pre-tax + company sponsored) 🧘‍♂️ Mental & Physical Wellness Stipend 🍱 Catered Meals on in-office days 🏢 HQ in Burlingame + hub in NYC + hub in Bangalore 🤝 Build the company alongside the Founders *Benefits/perks may vary by state, country and employment type - please reach out to your recruiter for more information. Galileo is an equal opportunity employer supporting workforce diversity. We do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, age, marital status, protected veteran status, disability status, or any other unlawful factor. Galileo is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request accommodation due to a disability, please inform your recruiter. Galileo is committed to fair and equitable compensation practices. The pay range for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. The total compensation package for this position may also include eligibility for commission, equity, and company sponsored benefits/perks.

Responsibilities

As an Applied Data Scientist, you will deploy and customize advanced generative AI technologies for customers, addressing their unique AI challenges. You will also provide expert support, troubleshoot issues, and conduct training sessions to enhance user engagement with Galileo’s solutions.