Senior Data Scientist

We are seeking a skilled Generative AI Engineer to join our Data Science team. The successful candidate will be instrumental in developing and implementing applications powered by Large Language Models (LLMs) to enhance our financial planning processes. This role requires expertise in integrating custom LLM-as-a-Service (LLMaaS) solutions with self-hosted LLMs from the client’s AI platform, along with proficiency in text-to-SQL conversion and agentic modeling. The candidate will be responsible for training and fine-tuning AI models to align with business needs, ensuring relevance and accuracy in generated insights, while leveraging AI to dynamically recommend effective data visualisations based on patterns and user preferences.

Essential functions

Key Responsibilities:

• Design, develop, and deploy AI applications utilizing PepGenX’s custom LLMaaS to support financial planning initiatives.
• Develop and manage state-of-the-art conversational AI agents capable of executing complex tasks within financial workflows.
• Implement and optimize text-to-SQL methodologies to facilitate seamless and accurate querying of financial databases.
• Develop and optimize knowledge graph solutions to represent financial data relationships
• Collaborate with cross-functional teams to identify opportunities for AI integration and ensure alignment with business objectives.
• Maintain and enhance existing AI models to improve performance, accuracy, efficiency, and scalability.

Qualifications

Required Qualifications:

Bachelor’s or master’s degree in computer science, Artificial Intelligence, Data Science, or a related field.

• Proven experience in Generative AI, NLP, and LLM’s (OpenAI, Llama) developing and deploying applications using LLMs.
• Strong proficiency in text-to-SQL conversion techniques and tools, for complex database schemas.
• Proficiency in programming languages such as Python, SQL with experience in AI- centric libraries and frameworks.
• Able to optimize GenAI solutions for enterprise environments, including techniques for latency reduction, efficient token usage, and cost management.
• Experience in building and managing AI agents for task automation.
• Solid understanding of data management, including data pre-processing and augmentation with Expert-level skills in writing and optimizing complex SQL queries for large datasets and experience with query performance tuning and execution plan analysis.
• Experience with RAG (Retrieval-Augmented Generation) architectures
• Familiarity with cloud computing platforms and deployment of AI applications.
• Excellent analytical and problem-solving skills.
• Strong communication and collaboration abilities to work effectively within a team environment.

Preferred Qualifications:

• Experience in the financial services industry, particularly in financial planning or related domains.
• Knowledge of agentic modelling and its applications in AI.
• Familiarity with MLOps practices for managing the AI model lifecycle.

We offer

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, sports
• Corporate social events
• Professional development opportunities
• Well-equipped office

About us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.