Senior Data Scientist
Lisbon, Lisbon, Portugal - Remote
Applications have closed
Screenloop (production)
Streamline your talent acquisition operations with Screenloop's cutting-edge platform. Leveraging AI-driven interview notetaking and comprehensive analytics, we simplify and enhance every recruitment step for optimal results.We are looking for a talented Data Scientist. We need someone that is a natural problem solver, who likes to be challenged, has the drive to explore and is committed to quality. We expect you to be a true team player, reliable and easy to communicate with. You will have to leverage different techniques to deliver state-of-the-art solutions around natural language understanding and generation. More specifically, you will have to:
- Focus on delivering working and robust products/models to production. We focus more on research engineering to bridge the gap between capabilities and products. We’re looking for data scientists who geek out on solving business problems and impacting millions of people’s daily lives.
- Explore, clean and transform large datasets of unstructured data;
- Analyze complex problems and recommend adequate solutions according to the identified requirements;
- Apply, combine and fine-tune different Natural Language Processing/Understanding techniques to achieve the best results;
- Design, implement and maintain scalable and performant architectures to support the idealized solutions.
Requirements
- Experience developing, delivering and operating Artificial Intelligence- / machine learning-based software in production in the cloud;
- Fluency in Python and familiarity with Java or Scala;
- Recent relevant experience with NLP/Speech tasks (e.g. Natural Language Understanding, Information Retrieval, Recommender Systems, Topic Modeling, Speech Recognition, Speaker Diarization, Text-to-Speech etc);
- Familiarity with Machine Learning algorithms (Neural Networks, SVM, Markov Models, Decision Trees, etc);
- Familiarity with speech recognition frameworks such as Kaldi, HTK, DeepSpeech, Wave2Vec2 or equivalent is a plus
- Familiarity with Big Data frameworks (e.g. Hadoop, Spark, Kafka, etc).
- Familiarity with MLFlow is a plus.
- Excellent skills in design, debugging, and problem-solving. Passion for customers, innovation, product quality, service excellence and test engineering
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture ASR Big Data Engineering Hadoop Kafka Machine Learning MLFlow NLP Python Recommender systems Research Scala Spark Topic modeling Unstructured data
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