Data Scientist – ML, CV & LLMs (Azure/Python)

Pragmatic Play; Portugal; Teletrabalho; EUR 50 000 - 80 000; Tempo integral

Resumo da oferta

ARRISE is seeking a skilled ML Engineer to design advanced ML algorithms for multimodal data and implement end-to-end Python applications. The role spans building pipelines in Azure, model training, testing, and performance monitoring across domains.

You will collaborate with cross-functional teams, develop reusable tools, and work with DL foundations, CV models, and RAG/LLM techniques. A strong background in Python and cloud services is essential.

Qualificações

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Strong proficiency in Python, PyTorch, and TensorFlow.
• Proven experience in managing and analyzing large datasets.
• Solid understanding of foundational DL algorithms.
• Experience with unit and integration tests (Pytest) and CI/CD pipelines.

Responsabilidades

• Design and develop advanced ML algorithms for image, text, audio, and tabular data.
• Develop and optimize pipelines in Azure to train models across various domains.
• Implement end-to-end applications in Python, including unit and integration tests.
• Continuously monitor system performance and troubleshoot issues.
• Collaborate with cross-functional teams to produce solutions to complex problems.
• Develop common packages and tools for logging, model inference, and more.

Conhecimentos

Python

PyTorch

TensorFlow

Data management

Computer Vision

ML algorithms

Unit tests

CI/CD

Azure

AWS

Huggingface Transformers

LangChain

LlamaIndex

Haystack

Prompt Engineering

Retrieval Augmented Generation

LLM fine-tuning

Formação académica

Bachelor's or Master's degree in Computer Science, Engineering, or a related field

Ferramentas

Docker

GitLab CI

Azure ML Studio

Azure Data Factory

Azure Functions

Azure Blob Storage

AWS EC2

AWS S3

Elastic Stack

Descrição da oferta de emprego

ARRISE is seeking a skilled ML Engineer to design advanced ML algorithms for multimodal data and implement end-to-end Python applications. The role spans building pipelines in Azure, model training, testing, and performance monitoring across domains.

You will collaborate with cross-functional teams, develop reusable tools, and work with DL foundations, CV models, and RAG/LLM techniques. A strong background in Python and cloud services is essential.