LLM/GenAI engineer

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.

• 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 or equivalent
• 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.

Nice to have

• 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.)

• Flexible vacation + health & travel insurance + relocation
• Hybrid work model: flexible hours with the possibility to combine office and remote work
• 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