We are seeking a skilled Data Scientist with expertise in AI orchestration and embedded systems to support a sprint-based Agile implementation. You will be responsible for developing and deploying AI assistants, designing prompt templates, and establishing embedding pipelines for enterprise platforms. This role requires hands-on experience with Gemini , a strong understanding of prompt engineering, and the ability to integrate generative AI capabilities into various systems.
Roles & Responsibilities :
- Develop and deploy Slack-based AI assistants leveraging Gemini models .
- Design and implement prompt templates tailored to enterprise data use cases (Looker and Confluence).
- Establish and manage an embedding pipeline for Confluence documentation.
- Build and maintain orchestration logic for prompt execution and data retrieval.
- Set up API authentication and role-based access controls for integrated systems.
- Connect and validate vector store operations (e.g., Pinecone, Weaviate, or Snowflake vector extension).
- Contribute to documentation, internal walkthroughs, and user acceptance testing planning.
- Participate in Agile ceremonies , including daily standups and sprint demos.
Skills Required :
Proven experience with Gemini and large language model deployment in production environments.Proficiency in Python , orchestration tools, and prompt engineering techniques.Familiarity with vector database technologies and embedding workflows.Experience integrating APIs for data platforms such as Looker and Confluence.Strong understanding of access control frameworks and enterprise-grade authentication.Demonstrated success in Agile, sprint-based project environments .Experience with Copilot AI, Azure OpenAI , or similar AI-powered development tools and LLMs , with a familiarity with AI concepts.Experience working with Slack app development and deployment is a plus.Background in MLOps, LLMOps , or AI system orchestration at scale is a plus.Excellent communication skills and ability to work in cross-functional teams.Strong problem-solving skills and ability to translate business needs into technical solutions.QUALIFICATION :
Proficiency in Computer Science, Engineering, Information Systems, or a related field.Skills Required
Python, MLops, agile environment