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Monto Stockholm Heltid

Machine Learning Operations-Engineer

Detta jobb är inaktivt och går inte att söka längre.

Om jobbet

Do you want a world where all businesses have access to fair financing? So do we!

We are a team of entrepreneurs and technologists who share the conviction that small and medium sized businesses are the key to a better world. Our goal is to become the leading platform in Europe providing better lending and credit decision tools to banks, financial institutions, ERPs and PSPs. To achieve that, we need the best talents - which is why we are looking for you!

As a Machine Learning Operations-Engineer, you will have the technical responsibility for the ML-solutions. You will work in a full stack product team, closely together with 2-3 Data Scientists. You will need to understand commercial and operational challenges. The team will together create machine learning solutions to add intelligence and support to our client's needs.

You will:

  • Collaborate with engineers and data scientists to deploy new product features
  • Design and build automated pipelines that run, monitor, and retrain our ML models to ensure high performance
  • Make sure our APIs are well defined and perform well
  • Support the data scientists to ensure high reliability, and performance in model deployment and effective machine-learning operations and processes


Who are you?

We believe you are skilled at developing and maintaining ML pipelines and ML operations. You are a skilled developer, with some experience, or an interest in data, machine learning and general analytics. You are also a team player with a good sense of business (and humour).

You have:

  • A BSc (MSc preferred) in computer science, mathematics, statistics, engineering or similar
  • +2 years of relevant experience
  • Fluency in English or Swedish
  • Programming skills in Python (or similar, and ability to learn it quickly)
  • Knowledge of SQL
  • Experience in creating API integrations
  • Experience from intelligent use of AWS services (or equivalent such as GCP or Azure)
  • Experience with Docker & Kubernetes
  • Experience with Airflow or other orchestration tool
  • Experience from building data pipelines and ML pipelines

Some models you might be working with:

  • Automatic decision modelling
    • One of our products is evaluating credit applications automatically
  • Credit risk modelling
    • One of our products consists of identifying and predicting different companies credit risk
  • Portfolio Monitoring
    • One of our products consists of developing models to warn the credit
      officers when something is potentially problematic on the customer’s

    What you get:

    • Be part of changing the financial industry together with experienced and skilled colleagues who love to solve problems
    • Flexible work hours
    • Occupational pension
    • Wellness allowance (friskvårdsbidrag) and colleagues who love to work out during the lunch break :-)
    • Stockholm city's coolest workplace, not only due to the location but mostly due to the company, the ping pong tournaments, the innovative culture and maybe the best after work (? - at least if you ask us!)


    This position is a full time employment and we are looking for the right candidate ASAP, so send in your application straight away!

    Our office is located at the attractive address Grev Turegatan in Stockholm.

    Are you curious about Monto's story? Read more about us here.

    • Förmån: Sjukförsäkring Sjukförsäkring
    • Förmån: Friskvårdsbidrag Friskvårdsbidrag
    • Förmån: Tjänstepension Tjänstepension
    • Förmån: Sex veckors semester Sex veckors semester
    • Förmån: Olycksfallsförsäkring Olycksfallsförsäkring
    • Förmån: Ny teknik Ny teknik
    Om företaget

    We  are a team of entrepreneurs and technologists who share the conviction  that small and medium sized businesses are the key to a better world.  Starting in 2015, our founders set out to solve one of their biggest  headaches: access to fair and flexible financing.

    Having  personally faced countless rejections when applying for funding, they  decided to engineer a service addressing the industry’s key hurdles:  manual processes, a lack of reliable and relevant data, and a general  mismatch between SMEs’ dynamic needs and the lending industry’s  capabilities to meet them.

    In 2015, we founded  a pioneering lending and factoring service aimed at SMEs, Capcito. We  spent two years developing our proprietary scoring engine and initiated a  partnership with leading Nordic bank SEB, enabling us to provide fast  and accessible working capital.

    The service  was powered by real-time data connections to SME accounting systems. Our  focus on data, technology and customer experience allowed us to provide  SMEs access to fair working capital solutions.

    With  Monto, we are determined to make this opportunity available at scale.  We want to be the bridge that allows traditional as well as modern  lenders to quickly achieve new dimensions of insight, risk control,  efficiency and customer experience in their lending. And we want to  continuously help improve their offering with time.

    Today  we offer the Monto platform as a modular one-stop-shop service to  companies looking to offer fully digital and highly automated financial  services to their end clients. By operating a fast-growing direct  lending company under the same roof (Capcito), we gain instant feedback  from SME businesses in order to  ensure that our products and services  are one of a kind on the market today.

    Our  goal is to become the leading platform in Europe providing better  lending and credit decision tools to banks, financial institutions, ERPs  and PSPs. In 2020, we launched our first licensing partnership with SEB  to use our proprietary technology, and have since onboarded a handful  of other industry players.

    With security and  ease of use as our guiding principles, we aim to become the go-to  technology partner for all companies offering working capital solutions  to SMEs, so they can gain the full benefit of modern 21st century financing.

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