Detalhes da oferta
Are you passionate about challenges? Izertis is your company.We are looking for a LLM Data Scientist for an international client.
Responsibilities:
Design, develop, and deploy next-generation agent-based software systems.
Perform prompt engineering, agentic AI, retrieval-augmented generation (RAG), RAG using a knowledge graphs, context retrieval, and LLM evaluation.
Tune LLM inference using efficiency strategies and perform LLM fine-tuning.
Collaborate with cross-functional teams to address risks, ethical concerns, and other issues related to AI use.
Develop and maintain machine learning systems, including model development, training, and deployment.
Manage the lifecycle of machine learning models, ensuring they are deployed, monitored, and maintained effectively.
Oversee the collection, storage, and interpretation of data, and support the productionalization of produced models.
Integrate ML analytical components into business solutions and analytical models.
Requirements:
Relevant work experience in ML projects and technologies/frameworks used in ML.
Knowledge of MLOps architecture and practices, including CI/CD pipelines, model deployment, monitoring, and maintenance.
Experience with data extraction, manipulation and transformation (e.g., SQL or python) and working in cloud environments (e.g., Azure).
Proficiency in Python programming and familiarity with software engineering practices (e.g., versioning, testing, documentation, code review).
Experience with deployment and provisioning automation tools (e.g., CI/CD).
Prompt engineering, AI performance analysis, and LLM evaluation (knowledge and capability evaluation, safety evaluation, retrieval and GenAI evaluation).
Experience with GenAI tools (e.g., Autogen, Langchain, Llamaindex, Semantic Kernel) and LLM inference tuning using efficiency strategies.
Experience with LLM fine-tuning experimentation and cloud experience with Azure.
Nice to Have:
Experience with distributed systems and clusters for both batch and streaming data.
Affinity with advanced analytics, data science, and GenAI.
Hands-on experience building complex data pipelines (e.g., ETL) and system design and architecture.
Experience with Azure tools such as Azure AI Search, Azure Machine Learning, Azure ML Prompt Flow, Cosmos DB and Graph Databases to develop, test, analyze, tune, and deploy flows.
Being a committer to open-source projects is a strong plus
| Distrito | Lisboa | ||||||||
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| Habilitações mínimas | Curso Superior | ||||||||
| Experiência mínima | 3-5 anos | ||||||||
| Sector de actividade | TI, Telecomunicações e Comunicação | ||||||||
| Tipo de contrato | Full-time | ||||||||
| Tipo de oferta | Emprego | ||||||||
| Contactos |
Izertis
R. do Mar Vermelho Nº2, 3 4 1990-152 Lisboa Portugal
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