Machine Learning Solutions Architect


Sustainalytics is looking for a Machine Learning Solutions Architect to join their Digital Innovation Team in Timisoara.


  • 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 developing and implementing machine learning solutions in information retrieval/analytics environment;
  • Demonstrable experience of a high level general language programming language (Python, R);
  • Familiar with packages such as scikit-learn and\or TensorFlow;
  • Previous work experience in natural language processing;
  • Familiar with cloud computing (AWS or Azure);
  • Hands on experience with GPU based machine learning constitute an advantage.


  • Act as the primary expert in machine learning and artificial intelligence;
  • Analyze business processes and propose the right machine learning/artificial intelligence solution in order to increase the efficiency and effectiveness of Sustainalytics’ internal and external digital products;
  • Under the sponsorship of the Head of Digital Innovation, lead projects implementing machine learning/artificial intelligence solutions into existing/developed products and processes;
  • Independently develop and test models;
  • Have full mastery/knowledge of other solutions and products existing in the field of expertise; act as an industry/academic expert.


The Digital Innovation Team is responsible for researching and developing solutions that can be used to improve existing processes and products or to create new products. The team operates as part of Sustainalytics' Information and Communication Technology Team.

The main goals of the product innovation team are:
  • Development of information retrieval, normalization, and analytics solutions;
  • Incorporation of the existing solutions into the company workflows;
  • Servicing the information mining needs of internal and external clients.


  • machine learning solutions- experience
  • Python or R- experience
  • scikit-learn and\or TensorFlow- familiarity
  • AWS or Azure- familiarity


Work schedule is 09:00 AM - 18:00 PM, with 1 hour lunch break; We can also accommodate flexible working schedules

Report to

Arik Brutian - Head of Digital Innovation, Toronto


Do you believe that - with the right insights - investors could contribute to a more just and sustainable global economy? Over the last 25 years, we've dedicated ourselves to this mission as a leading provider of environmental, social and governance (ESG) and corporate governance research and ratings.
We are proud to have helped several of the leading global investors implement responsible investment strategies that leverage our research. Through the IRRI survey, they have selected us as one of the top two ESG and corporate governance research firms, since 2014.
Sustainalytics is a global company with over 350 employees in 13 offices that are situated in the US, UK, Japan, France, Canada, Romania, Australia and the Netherlands. For more information, visit

Office location

Strada Coriolan Brediceanu, 10, Timisoara


Salary will be discussed in the first interview.

Extra benefits

  • Competitive compensation package;
  • Training budget at your disposal for your professional development (certifications, conferences, trainings);
  • Medical benefits;
  • Partial reimbursement of gym subscription;
  • Bonus based on your performance;
  • Interesting career development options in a very innovative market;
  • Dynamic, professional, flexible and friendly work environment with close collaboration with international teams;
  • New and modern fitted office in central area.
Apply now

( no account necessary )

Recruitment steps

  • Step 1

    Apply by uploading your CV

  • Step 2

    First interview with the head of Software Development and the head of Talent Acquisition

  • Step 3

    Second interview with the VP of Information Technology and the HR Manager

  • Step 4

    If you will be selected to be part of our team, a formal offer will be extended to you

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