Data Scientist

Key Responsibilities

Data Preparation and Analysis:

• Conduct Exploratory Data Analysis on various datasets to extract meaningful insights.
• Preprocess and prepare data for AI solutions, including leveraging vector databases for efficient data retrieval and management.

Solution Development and Maintenance:

• Develop and deploy agentic AI solutions, ensuring performance and scalability.
• Debug AI pipelines and processes to resolve issues efficiently.
• Understand and explain the mechanics and functionality of agentic solutions to stakeholders.

Programming and Infrastructure:

 - Write high-quality, maintainable Python or C# code following best practices.

 - Develop unit tests to ensure code reliability.

 - Maintain and optimize infrastructure using Docker for containerization.

Collaboration and Communication:

• Conduct code reviews to maintain quality across the team.
• Analyze business feedback to refine AI solutions and processes.
• Write and optimize prompts for large language models (LLMs) to support various applications.

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Qualifications

Must-Have Skills:

• Strong proficiency in Python and familiarity with best programming practices.
• Hands-on experience with PyTest for writing unit tests.
• Competence in developing and maintaining agentic AI solutions.
• Understanding of NoSQL and vector database operations.
• Familiarity with large language models (LLMs) and NLP techniques.

Technical Knowledge:

• In-depth understanding of the inner workings and characteristics of AI solutions.
• Foundation in statistics and mathematics underpinning AI models.
• Strong experience with EDA and data preparation techniques for AI consumption