Machine Learning Solutions Architect
5 zile în urmă


The Digital Innovation Team has a mission to research, develop, and integrate state of the art smart technologies Artificial Intelligence, Machine Learning, Information Retrieval, Information Extraction, Data-Intensive Digital Curation into Sustainalytics informational value chain.

Our goal is to improve existing processes and products, as well as to create new products.

The team operates as part of Sustainalytics’ Information and Communication Technology Team.


You will work with a team of talented and results oriented individuals and take part in the constant development and improvement of smart digital capacities of artificial intelligence, machine learning, information acquisition, and digital curation.

You will focus on artificial intelligence, machine learning, and ontological engineering : In particular, you will be responsible for the following :

  • Text processing - NLP (tokenization, POS tagging, TFIDF, LSA);
  • Classic ML approaches (classification with SVM, Decision Trees, Logistic Regression);
  • Modern ML approaches (neural networks feedforward, recurrent and transformers);
  • Language Modelling (n-gram estimation using neural networks, vector embeddings, sequence-to-sequence models);
  • Have full mastery / knowledge of other solutions and products existing in the field of expertise; act as an industry / academic expert.
  • Qualifications

  • Undergraduate education in (either) AI, machine learning, computer science, data analytics, information systems, information science, cybernetics, applied mathematics, computational linguistics;
  • Three years or experience in research, developing and / or implementing machine learning solutions in information retrieval / analytics environment;
  • Demonstrable experience of a high-level general language programming language (Python or similar);
  • Familiar with packages such as scikit-learn / Pandas / PyTorch (lightning or ignite) / huggingface;
  • Previous work experience in natural language processing;
  • Familiar with cloud computing (AWS);
  • Hands on experience running machine learning models on GPU (CUDA) constitutes an advantage;
  • About Us

    Sustainalytics is a Morningstar company dedicated to responsible investment with over 25 years' experience in ESG research and ratings.

    With an extensive client base across asset managers, asset owners and investment banks, our mission is to provide the insights required for investors and companies to make more informed decisions that lead to a more just and sustainable global economy.

    As Morningstar’s ESG center of excellence we are responsible for driving both the commercial success and innovation of its ESG products as well as its overall ESG strategy.

    In these times, we rely on virtual team meetings and management practices, as well as a remote buddy program, to support a smooth integration in our virtual offices.

    New team members are onboarded and start their first day with the company from the safety of their homes.

    For more information, visit

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