Generative Ai Ml/Llm Engineer

Detalhes da Vaga

Description Important Information Location: Brazil Job Mode: Full-time Work Mode: Work from home Job Summary As a LLM engineer you will be leading a team to build and deploy solutions to monitor and control highly scalable private cloud deployments.
The LLM engineer evaluates the most promising technology and shapes it to solve customer use cases while providing guidance and mentorship to the team.
Essential Skills Desire to work at high level with stakeholders to devise, understand and communicate clearly requirements and architecture design for data platforms in an efficient manner; Large Experience with architecture, governance, security, design, business mapping and understanding, performance and tuning for data lake, data warehouse and other data storage systems and transformation; Experience with talking with customers and stakeholders and extracting business and technical requirements in high and low level; Strong knowledge of LLMs: LLaMa and Mistral; Strong knowledge of LLMs APIs: Ollama, LocalAI, VLLM; Strong knowledge of ETL frameworks and workflow processes (data ingestion, clean up and preparation).
Highly Desirable Skills Experience with Python and Java for system administration; Large experience with data modeling and data design; System administration experience on Linux platforms; Experience with Kubernetes.
Additional Skills Machine learning algorithms and workflow; Pipeline and workflow orchestration (Oozie, Luigi).
About Encora Encora is the preferred digital engineering and modernization partner of some of the world's leading enterprises and digital native companies.
With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora's technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.
At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.


Fonte: Talent_Dynamic-Ppc

Função de trabalho:

Requisitos

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