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Large Language Modelling/Gen AI engineer

Accenture

Large Language Modelling/Gen AI engineer

Accenture

·

On-site

·

Full-time

·

2w ago

Required Skills

Python

AWS

PyTorch

GCP

Azure

Apply for a highly demanded new age job – a Data Scientist/ GenAI LLM Engineer. Be part of Accenture team working in Latvia and delivering projects to world leaders in various fields, like TV & Entertainment, Telecommunication, Finances, Insurance, Industry, Logistic & Supply Chain, and others.

Working at the edge of AI/ML technologies we help our clients to leverage the value of unstructured data, to uncover the hidden power of accumulated enterprise information.

As an LLM engineer, you will have the opportunity to apply your deep expertise in LLM/GenAI technologies. Your main responsibility will be collaborating closely with clients to prototype, build, test, and deploy products powered by GenAI/LLM technology on a large scale. Additionally, you will play a key role in fine-tuning the hyperparameters of LLM models, optimizing their configuration to ensure the overall model performance and enhance the overall model performance to drive positive outcomes for clients.

What we offer:

  • Competitive salary 1950 - 4400 EUR gross
  • Flexible vacation + health & travel insurance
  • Work from home, flexible working hours
  • Work with Fortune 500 companies from different industries all over the world
  • Skills development and training opportunities, company-paid certifications, opportunities to advance career, an open-minded and inclusive company culture

Your responsibilities will include:

  • Work with Python, LLM/GenAI frameworks and tools AI/ML end-to-end solutions developing

  • CI/CD pipelines development, LLM model containerizing and deployment on cloud or premise. Models testing and follow-up maintenance. All stages of ML model life cycle ensuring and support.

  • Design prototypes and POCs to demonstrate solution feasibility and value. Provide architecture solution.

  • Research, design, build, and train innovative applications of LLMs to solve complex real-world problems.

  • Provide technical guidance to clients adopting LLM technologies.

  • Bachelor’s Degree (might be final course student) in Statistics, Applied Mathematics, Computer Science, or other related fields

  • Experience in AI/ML technologies and software engineering, at least 3+ years of hands-on experience with Python, 2+ years of experience with Schell scripting, 1+ years of experience building and maintaining scalable API solution

  • 2+ years of professional experience with NLP, 1+years of professional experience with Large Language Models (LLM)/GenAI technology like OpenAI API, ChatGPT, GPT-4, Bard, Synthesia, Langchain, Hugging Face Transformers, Py Torch and similar, 1+ years of experience with prompt engineering, 1+ years of experience with vector database

  • 2+ years of experience with AWS, GCP or Microsoft Azure, 2+ years of experience with MLOps, CI/CD pipeline development, containerization, model deployment in test and production environments

  • Be a team player, fluent in English and ability to clearly communicate complex LLM capabilities and limitations to non-technical stakeholders.

Would love to see, but ready to consider without:

  • M.sc. or Phd. in corresponding fields
  • Experience with Java, Java Script or Scala, 2+ years of experience with Snowflake or Databricks
  • Deep knowledge of a specific domain or industry, with a focus on NLP/LLM
  • In depth understanding of Responsible AI standards and protocols
  • Applied research background leveraging frameworks to build LLM prototypes, knowledge of best practices for production LLM development

About Accenture

Accenture is a leading global professional services company that helps the world’s leading organizations build their digital core, optimize their operations, accelerate revenue growth and enhance services—creating tangible value at speed and scale. We are a talent- and innovation-led company with 774,000 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

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

Accenture is committed to providing veteran employment opportunities to our service men and women.

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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%

Recommend to a Friend

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

Case Study