Lead Data Scientist

3 Months ago • All levels • Artificial Intelligence • Undisclosed

About the job

2 skills required for this role

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deep-learning

scalability

Job Description

Lead the development and deployment of Generative AI solutions using Databricks and advanced web frameworks. Architect and implement APIs to serve Generative AI models for production environments. Design end-to-end solutions for clients, focusing on GenAI applications, ensuring scalability and performance optimization. Provide expertise on pricing models, manage cost estimates, and develop Bill of Materials (BoM) for client projects. Collaborate with clients and internal teams to understand requirements and deliver tailored GenAI solutions. Document workflows, API structures, and architectural designs, ensuring transparency and clarity for all stakeholders. Effectively communicate with clients, providing regular updates on project progress and addressing any technical questions. The role involves leading the technical architecture and delivery of advanced GenAI solutions for clients, ensuring seamless integration into existing systems. A strong understanding of application architecture, pricing, and documentation is crucial for success.

Must have:

Expertise in Databricks, web frameworks, NLP, Generative AI
Machine Learning, Deep Learning and API development
Lead technical architecture and delivery of GenAI solutions
Design end-to-end solutions, ensuring scalability and performance
Develop Bill of Materials (BoM) for client projects

About the job

Role Overview

As a Data Scientist with expertise in Databricks, web frameworks, NLP, Generative AI, Machine Learning, Deep Learning and API development. The role involves leading the technical architecture and delivery of advanced GenAI solutions for clients, ensuring seamless integration into existing systems. A strong understanding of application architecture, pricing, and documentation is crucial for success.

Job Responsibilities

Lead the development and deployment of Generative AI solutions using Databricks and advanced web frameworks.

Architect and implement APIs to serve Generative AI models for production environments.

Design end-to-end solutions for clients, focusing on GenAI applications, ensuring scalability and performance optimization.

Provide expertise on pricing models, manage cost estimates, and develop Bill of Materials (BoM) for client projects.

Collaborate with clients and internal teams to understand requirements and deliver tailored GenAI solutions.

Document workflows, API structures, and architectural designs, ensuring transparency and clarity for all stakeholders.

Effectively communicate with clients, providing regular updates on project progress and addressing any technical questions.

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