Data Scientist

atARRISERemotePT flagPortugalFull-timeData ScientistMid-levelSenior

Posted Aug 12

This is a fully remote position, open to applicants in Portugal.

πŸ“‹ Description

β€’ Create and enhance sophisticated ML algorithms for diverse data types, including images, text, audio, and tabular data.

β€’ Design and refine Azure pipelines to facilitate model training across multiple domains.

β€’ Develop comprehensive applications in Python, incorporating unit and integration testing.

β€’ Regularly assess system performance and address any issues that arise.

β€’ Work collaboratively with cross-functional teams to deliver solutions to intricate challenges.

β€’ Build shared packages and tools for logging, model inference, and additional functionalities.


⛳️ Requirements

β€’ Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline.

β€’ High level of expertise in Python, PyTorch, and TensorFlow.

β€’ Demonstrated experience in managing and analyzing substantial datasets.

β€’ Strong grasp of essential deep learning algorithms.

β€’ Proficient in unit and integration testing using Pytest and CI/CD pipelines.

β€’ Familiarity with data versioning, model management, experiment tracking, key evaluation metrics, and optimization methods.

β€’ Comprehensive knowledge and practical experience with Docker.

β€’ Solid understanding of classical machine learning and traditional computer vision techniques.

β€’ Extensive experience with computer vision models, including object detection, image classification, and segmentation.

β€’ Proficiency in Azure services, such as ML Studio, Data Factory, Functions, and Blob Storage, or similar services from other cloud providers.

β€’ Awareness of AWS services, particularly EC2 and S3.

β€’ Experience with Hugging Face Transformers, Elastic Stack, and GitLab CI pipelines.

β€’ Familiarity with prompt engineering, retrieval-augmented generation (RAG), LLM frameworks like LangChain, LlamaIndex, and Haystack, as well as fine-tuning LLMs.


🏝️ Benefits

β€’ Opportunities for growth at all levels.

β€’ Commitment to employee development.

β€’ Strategic collaborations that create new avenues for success.

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