Junior Data Scientist - Braga

Automaise

Junior Data Scientist - Braga

Regime Integral

Colocado em 22/10/2020

Automaise is a fast-moving, exciting young company helping customers from all over the world to use Artificial Intelligence through our leading-edge product. Founded in late 2017, we are offering a great working environment with excellent career development opportunities to the best and brightest professionals. At Automaise we’re building the future of easy-to-use AI using deep learning and other Artificial Intelligence technologies.

We’re looking for some knowledge of:

  • Python and its Math & Machine Learning packages like numpy, scikit-learn, pandas/dask, Keras, TensorFlow, PyTorch, etc.
  • Machine Learning algorithms and concepts such as Convolutional Neural Networks, Recurrent Neural Networks, Transformer architectures, Decision Trees, Boosting, etc.
  • Natural Language Processing and NER models;
  • Some experience handling large amounts of data and building datasets (experience with big data frameworks such as Apache Spark or Dask is valued);
  • Experience with research and Automated Machine Learning is also valued;
  • Proficient English

Perfil do Candidato

And you must be:

  • Finishing/recently finished the academic degree (computer engineering, computer science, mathematics, biomedical engineering, etc.)
  • Open minded, willing to learn and team player
  • Able to approach tasks with a flexible mindset, and with the focus to always find the best solutions
  • Self-starter and ability to put yourself in a customer’s perspective
  • Focused and pragmatic
  • Dynamic and curious

Competências necessárias:

We’re looking for some knowledge of:

  • Python and its Math & Machine Learning packages like numpy, scikit-learn, pandas/dask, Keras, TensorFlow, PyTorch, etc.
  • Machine Learning algorithms and concepts such as Convolutional Neural Networks, Recurrent Neural Networks, Transformer architectures, Decision Trees, Boosting, etc.
  • Natural Language Processing and NER models;
  • Some experience handling large amounts of data and building datasets (experience with big data frameworks such as Apache Spark or Dask is valued);
  • Experience with research and Automated Machine Learning is also valued;
  • Proficient English

Condições:

What you will get/learn from us (besides the salary😊):

  • Work on a small and agile team – grow with the company
  • Be part of the future as AI is taking the world by storm
  • Develop user experience awareness
  • Make use of Several Frameworks
  • Master RESTful Services and APIs
  • Services Oriented Architectures/Microservices
  • Deploy and scale a global service

 

This sounds like you? APPLY NOW! jobs@automaise.com

About Automaise

Automaise is a low-code AI Factory for creating enterprise grade AI automations. With a unique mix of conversational AI, NLP, deep learning and bits of RPA we enable hyper-automation delivering automation rates above 80%. We are on a mission to democratize enterprise grade AI automation to everyone.

Automaise

A Oferta expira em04/Nov/2020

Automaise

Junior Data Scientist - Braga

Regime Integral

Publicado emQui, 2020-10-22 15:25

Automaise

Automaise is a fast-moving, exciting young company helping customers from all over the world to use Artificial Intelligence through our leading-edge product. Founded in late 2017, we are offering a great working environment with excellent career development opportunities to the best and brightest professionals. At Automaise we’re building the future of easy-to-use AI using deep learning and other Artificial Intelligence technologies.

We’re looking for some knowledge of:

  • Python and its Math & Machine Learning packages like numpy, scikit-learn, pandas/dask, Keras, TensorFlow, PyTorch, etc.
  • Machine Learning algorithms and concepts such as Convolutional Neural Networks, Recurrent Neural Networks, Transformer architectures, Decision Trees, Boosting, etc.
  • Natural Language Processing and NER models;
  • Some experience handling large amounts of data and building datasets (experience with big data frameworks such as Apache Spark or Dask is valued);
  • Experience with research and Automated Machine Learning is also valued;
  • Proficient English

Perfil do Candidato

And you must be:

  • Finishing/recently finished the academic degree (computer engineering, computer science, mathematics, biomedical engineering, etc.)
  • Open minded, willing to learn and team player
  • Able to approach tasks with a flexible mindset, and with the focus to always find the best solutions
  • Self-starter and ability to put yourself in a customer’s perspective
  • Focused and pragmatic
  • Dynamic and curious

Competências necessárias:

We’re looking for some knowledge of:

  • Python and its Math & Machine Learning packages like numpy, scikit-learn, pandas/dask, Keras, TensorFlow, PyTorch, etc.
  • Machine Learning algorithms and concepts such as Convolutional Neural Networks, Recurrent Neural Networks, Transformer architectures, Decision Trees, Boosting, etc.
  • Natural Language Processing and NER models;
  • Some experience handling large amounts of data and building datasets (experience with big data frameworks such as Apache Spark or Dask is valued);
  • Experience with research and Automated Machine Learning is also valued;
  • Proficient English

Condições:

What you will get/learn from us (besides the salary😊):

  • Work on a small and agile team – grow with the company
  • Be part of the future as AI is taking the world by storm
  • Develop user experience awareness
  • Make use of Several Frameworks
  • Master RESTful Services and APIs
  • Services Oriented Architectures/Microservices
  • Deploy and scale a global service

 

This sounds like you? APPLY NOW! jobs@automaise.com

About Automaise

Automaise is a low-code AI Factory for creating enterprise grade AI automations. With a unique mix of conversational AI, NLP, deep learning and bits of RPA we enable hyper-automation delivering automation rates above 80%. We are on a mission to democratize enterprise grade AI automation to everyone.

A Oferta expira emQua, 2020-11-04 12:00