채용
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
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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.
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Design prototypes and POCs to demonstrate solution feasibility and value. Provide architecture solution.
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Research, design, build, and train innovative applications of LLMs to solve complex real-world problems.
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Provide technical guidance to clients adopting LLM technologies.
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Bachelor’s Degree (might be final course student) in Statistics, Applied Mathematics, Computer Science, or other related fields
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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
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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
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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
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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
PublicLet 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
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