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LLM Operations Engineer

Accenture

LLM Operations Engineer

Accenture

·

On-site

·

Full-time

·

4d ago

Project Role: LLM Operations Engineer

Project Role Description: Utilize cloud-native services and tools for scalable and efficient deployment. Monitor LLM performance, address operational challenges, and ensure compliance and security standards in AI operations.

Must have skills: Large Language Models (LLMs)

Good to have skills: NA

Minimum 2 year(s) of experience is required

Educational Qualification: 15 years full time education

Summary:

As an LLM Operations Engineer, you will engage in the deployment and management of large language models using cloud-native services and tools. Your typical day will involve monitoring the performance of these models, addressing any operational challenges that arise, and ensuring that all activities comply with established security and compliance standards in the realm of artificial intelligence operations. You will collaborate with various teams to optimize processes and enhance the efficiency of model deployment, contributing to the overall success of AI initiatives within the organization.

Roles & Responsibilities:

  • Expected to perform independently and become an SME.
  • Required active participation/contribution in team discussions.
  • Contribute in providing solutions to work related problems.
  • Assist in the development and implementation of best practices for LLM operations.
  • Collaborate with cross-functional teams to enhance model performance and reliability.

Professional & Technical Skills:

  • Must To Have Skills: Proficiency in Large Language Models (LLMs).
  • Strong understanding of cloud-native services and deployment strategies.
  • Experience with monitoring tools for performance assessment.
  • Familiarity with compliance and security standards in AI operations.
  • Ability to troubleshoot and resolve operational challenges effectively.

Additional Information:

  • The candidate should have minimum 2 years of experience in Large Language Models (LLMs).
  • This position is based at our Coimbatore office.
  • A 15 years full time education is required.

15 years full time education

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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About Accenture

Accenture

Accenture

Public

Let there be change.

10,001+

Employees

Dublin

Headquarters

Reviews

4.0

10 reviews

Work Life Balance

3.5

Compensation

4.0

Culture

4.2

Career

4.1

Management

4.0

75%

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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

L2 · Business Analyst L2

0 reports

$63,830

total / year

Base

$25,532

Stock

$31,915

Bonus

$6,383

$44,681

$82,979

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

Case Study