Team8 Stealth Mode Startup-Senior GenAI Scientist

About The Position

We’re revolutionizing the data analytics landscape with its AI-powered solutions, designed to dramatically reduce response times and enhance data-driven decision-making. 

We are developing an AI Powered Analytics Management Platform, which standardizes business analytic processes, automates them and empowers analysts with information and recommendations that increase their productivity and analysis quality. 

As a GenAI Specialist, you will play a crucial role in researching and implementing GenAI-based and ML-based components in our platform. You will leverage AI to automate business analytics tasks, provide chat experience for business leaders, drive insights from data and build recommendation systems.

You’ll be reporting directly to VP Research and work closely with the engineering and product teams.

Responsibilities:

• Conduct cutting-edge research in machine learning and generative AI techniques.
• Design, develop, and deploy ML models and LLM-based solutions tailored to the platform requirements.
• Innovate by proposing new ideas, approaches, and strategies for leveraging AI within the startup’s product roadmap.
• Collaborate with ML and software engineers to integrate these models into the platform’s architecture effectively.
• Optimize models and RAGs for scalability, performance, and efficiency.
• Stay updated with the latest advancements and publications in ML and GenAI to inform and improve our approaches.
• Communicate technical concepts and findings effectively to non-technical stakeholders.
• Mentor junior team members and foster a collaborative environment conducive to knowledge sharing and growth.

Requirements:

• At least 5 years of practical experience in designing, implementing, and deploying machine learning models.
• Proficiency in classic ML, deep learning and NLP, with a strong understanding of algorithms, optimization methods, and model evaluation.
• Minimum 1 year of hands-on experience specifically in generative AI, including LLM integration, prompt engineering, chain-of-thought techniques and RAGs implementation. 
• Proficiency in Python and packages commonly used by data scientists such as Pandas, Numpy, Scikit-Learn, TensorFlow etc.
• Strong verbal and written communication skills in English, to articulate complex technical concepts to non-technical stakeholders effectively.
• Cultural fit with the team, with a fast paced, open and collaborative team environment.
• Experience in BI, data analytics, data governance, or other data stack components is a significant advantage.