Data Scientist - Machine Learning / Artificial Intelligence

Zorba Consulting

5 - 7 years

4 - 7 Lacs

Mumbai Maharashtra India

Posted:2 weeks ago| Platform: Foundit logo

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Skills Required

LLMOps prompt engineering

Work Mode

On-site

Job Type

Full Time

Job Description

Key Responsibilities:

AI Assistant Development
Develop and deploy Slack-based AI assistants leveraging Gemini models tailored for enterprise workflows.
Prompt Engineering
Design and implement optimized prompt templates for enterprise data use cases, including integrations with Looker and Confluence.
Embedding Pipeline Management
Establish and maintain a scalable embedding pipeline for Confluence documentation.
Orchestration Logic
Build and maintain orchestration logic for prompt execution and contextual data retrieval.
Authentication & Access Control
Configure API authentication and enforce role-based access controls for integrated systems.
Vector Store Integration
Connect and validate operations with vector databases such as Pinecone, Weaviate, or Snowflake vector extension.
Documentation & Testing
Contribute to internal documentation, conduct walkthroughs, and assist in user acceptance testing (UAT) planning.
Agile Collaboration
Participate in Agile ceremonies including daily standups, sprint planning, and demos.

Required Qualifications:

Proven experience deploying Gemini or other large language models (LLMs) in production environments
Proficiency in Python, orchestration tools, and advanced prompt engineering
Strong knowledge of embedding workflows and vector databases
Experience integrating APIs with enterprise platforms like Looker and Confluence
Understanding of enterprise authentication protocols and role-based access control
Background working in Agile, sprint-based environments

Preferred Qualifications:

Hands-on experience with Slack app development and deployment
Familiarity with MLOps, LLMOps, or orchestration of large-scale AI systems
Excellent communication skills and ability to collaborate with cross-functional teams

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