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Commerzbank Digital Technology Center

Machine Learning Platform Engineer

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    Tech Stack / Изисквания

    You can restart pretty much any device. Also a bank?

    Commerzbank is a leading international commercial bank with branches and offices in almost 50 countries. The world is changing, becoming digital, and so are we. We are leaving the traditional bank behind us and we are choosing to move forward as a digital enterprise.

    As part of this strategy, Commerzbank continues the expansion of its Digital Technology Center in Sofia, Bulgaria. We need motivated people who will join us on this journey and we are looking for a Machine Learning Platform Engineer in our Big Data team.

    The Big Data Cluster Team is at the cutting edge of creating the essential infrastructure needed for artificial intelligence at Commerzbank. By enabling data scientists, analysts and developers, the team offers a wide range of data resources, such as data warehouses, data platforms, visualization platforms, and an all-encompassing data science platform—all in a single location.

    As a ML Platform Engineer, you will play a crucial role in advancing Commerzbank’s cutting-edge data layer and AI platform. Your primary responsibilities will encompass cloud-based ML platform engineering tasks. You will mentor team members on technical concepts and implement best practices for our cloud-based machine learning platform components.

    Your responsibilities would consist of:

    • Designing and implementing a cloud-native data science platform that supports the full Machine Learning (ML) lifecycle, including model development, training, deployment, and monitoring;
    • Supporting the development of our self-service platform SDK for the data science platform and operation on Google Cloud Platform and Microsoft Azure;
    • Collaborating with data scientists and ML experts to promote the use of our data science platform, bringing ML models into production-ready applications, ensuring scalability and performance;
    • Creating software solutions that enable hybrid processing in multi-cloud and on-premises environments;
    • Integrating security standards, policies, and controls into our service offerings;
    • Focus on delivering high-quality code and robust architecture.

    The skills and experience we would like you to have:

    • Previous experience as Machine Learning Engineer;
    • Very good understanding of the machine learning model life-cycle and tools.
    • Hands-on experience with ML model deployment and serving frameworks (MLflow, PyTorch);
    • Proficiency in data manipulation and analysis using tools like pandas, NumPy, or SQL
    • Strong programming skills in one of the following languages – Python, Java or Scala;
    • Good analytic thinking with attention to details to solve problems
    • Good team player with high ability to work in cross-locational and international teams
    • Customer orientation and ownership attitude for the assigned responsibilities to deliver results in time and in line with the clients need
    • Fluency in English – both written and spoken;
    • University degree in IT or relevant.

    In return we offer:

    • Good work-life balance, including 25 days annual paid leave (increasing with 1 day per year up to 31 in total), flexible working hours and work-from-home and work from abroad opportunities;
    • Luxury package of additional health and dental insurance;
    • Food vouchers in the amount of 128 BGN monthly;
    • 6 additional annual days off for exceptional circumstances
    • Employee assistance program for psychological, financial and legal consultations;
    • Multisport card;
    • Annual contribution of 300 BGN net per child for a summer camp/school/kindergarten for children up to age of 15;
    • Possibilities for building career-advancing skills by covering training/certification courses and conferences based on individual learning and development needs, access to an online learning platform;
    • Opportunities for long-term professional development in a stable, 150-year-old company while contributing to the vision of a new, just starting Digital Technology Center;
    • Friendly and supportive multicultural environment, open to new opinions and ideas.

    Commerzbank is proud to be an equal opportunity employer, committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to gender, race, color, national origin, religion, gender identity or expression, sexual orientation, genetics, disability, age, or any other characteristics.

    Challenge accepted? Apply now with your up-to-date CV in English.

    Only shortlisted candidates will be invited to interview.