Large Language Model Architect

Large Language Model Architect

Project Role : Large Language Model Architect
Project Role Description : Architect large language models (LLM) that can process and generate natural language. Design neural network parameters, trained on large quantities of unlabeled text data.
Must have skills : SAS Analytics
Good to have skills : Large Language Models (LLMs)
Minimum 2 year(s) of experience is required
Educational Qualification : The ideal candidate will possess a strong educational background in computer science or a related field along with a proven record of delivering impactful solutions using SAS Software Administration

Summary:
As AI LLM Technology Arch Analyst - SAS, you would be responsible to ensure our esteemed business is fully supported. This involves solving day-to-day application issues, business queries, addressing adhoc requests to ensure clients can extract maximum value from the SAS platforms.

Roles & Responsibilities:
- You will work closely with data analysts, developers, and IT teams to support business intelligence initiatives.
- Install, configure, and upgrade SAS software (SAS 9.4, Viya, etc.) on various platforms (Linux/Windows/Cloud).
- Administer SAS servers, including metadata, compute, and mid-tier servers.
- Manage users, groups, roles, and permissions in SAS Metadata and integrate with Active Directory/LDAP.
- Monitor system performance, SAS jobs, and troubleshoot any issues with logs and root cause analysis.
- Manage and maintain metadata, libraries, data sources, and scheduled jobs.
- Apply patches and coordinate software upgrades with minimal downtime.
- Provide on-call support as needed and serve as the main point of contact for SAS-related issues.
- Ensure data security and platform compliance with organizational and regulatory requirements.
- Create and maintain documentation of SAS environment configurations, procedures, and standards.

Professional & Technical Skills:
- Proven experience (2+ years) in working as per the above job description is required.
- Experience with Linux/Unix command-line operations.
- Proficiency in using SAS Management Console, Environment Manager, and related tools.
- Experience with any of the cloud platforms like AWS, Azure, or Google Cloud is an added advantage.
- Ability to solve complex business problems and deliver client delight.
- Strong writing skills to build points of view on current industry trends.
- Exposure to Retail, Banking, Finance projects is an added advantage.
- Good Client handling skills able to demonstrate thought leadership & problem-solving skills.

Additional Information:
- The candidate should have minimum 2 years of experience in SAS Analytics.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.