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Location
Remote/Hybrid (Riga, Latvia)
Employment
Full-Time
Overview
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Accenture is a leading global professional services company specializing in strategy, consulting, technology, and operations services. Headquartered in Dublin, Ireland, the firm helps organizations optimize their business performance, navigate digital transformation, and implement advanced technologies like AI and cloud computing.

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:

Compensation at Accenture varies depending on a wide array of factors including but not limited to role, level, seniority, responsibility, skillset, and level of experience. The range of base pay for this role is:

  • Associate Manager - 2333 - 6200

    Specialist - 1900- 4700

    Senior Analyst - 1700 - 3400

    Analyst - 1400 - 2800

  • Flexible vacation + health & travel insurance + relocation

  • Hybrid work model: flexible hours with the possibility to combine office and remote work

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.

  • 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

EDUCATION

  • Bachelor's Degree or equivalent

BASIC (REQUIRED) QUALIFICATION

  • Proven experience as a machine learning engineer or scientist, deploying models in production atscale ,including monitoring, alerting, automatic bug filing and auditing.

  • Experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming

  • Hands-on experience in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks

  • Experience in building and deploying AI/ML based software to a cloud environment.

PREFERRED QUALIFICATION

  • Proficiencyin Python andpython-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow,PyTorch)..

  • Experience working with language models like LLM's APIs andoptimizingtheir usage for specific applications.

  • Experience with the following programming languages: Python, C++, Java, R, SQL

  • Strong written & verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders

  • Strong client-facing skillsets in a consulting environment

  • Strong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams

  • Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation

  • MS or PhD in related field preferred (computer science, engineering, etc.)

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 atwww.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, sexual orientation, gender identity or expression, 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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