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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.
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
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
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Pros
Great learning and development opportunities
Supportive and collaborative work environment
Good career growth and networking opportunities
Cons
Need to be proactive in finding projects
Long hours during busy periods
Very competitive environment for advancement
Salary Ranges
33 data points
L2
L3
L4
L5
L6
M3
M4
M5
M6
Senior/L5
L2 · Data Scientist L2
0 reports
$14,221
total / year
Base
$5,688
Stock
$7,111
Bonus
$1,422
$9,955
$18,487
Interview Experience
6 interviews
Difficulty
2.7
/ 5
Duration
14-28 weeks
Offer Rate
17%
Experience
Positive 0%
Neutral 50%
Negative 50%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical/Task-Based Interview
4
Final Interview
5
Offer
Common Questions
Technical Knowledge
Behavioral/STAR
Past Experience
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