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Machine Learning Engineer

Fourth | София

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dev.bg

Тази обява е публикувана само в DEV.BG Jobs: Преглеждаме значимите български сайтове за обяви за работа (с поне 400 IT обяви за работа). Тази обява не е публикувана в нито един от тях.
1 юни
Обявата е публикувана в следните минибордове
  • Sofia, Bulgaria
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    The New Tech for Restaurant and Hospitality

    Fourth is the first global cloud-based intelligent back office platform in the restaurant and hospitality industries. We’re no ordinary software company! We pride ourselves on the culture we have created and work hard to ensure this is never compromised. This is a place where our people want to work; where they enjoy and develop in their roles; where our people pull together to work as a team and ultimately be a company we are all proud to be a part of.

    By developing innovative products, building relationships with our customers and enabling great careers; we are focused on building lifetime loyalty with our customers and each other. The vast majority of us have worked within the industry; we believe we need to be passionate about and have experienced the industry in order to help our customers grow their businesses successfully.

    When recruiting, we look for those who want to join our journey; those who want to be a part of our personality and culture; those who are professional; have energy, enthusiasm, and ambition, are entrepreneurial and those who can show they can live by our company values each day. Working at Fourth provides an opportunity to build a successful career where our people develop and grow in a dynamic, fast paced environment.

    Role overview:

    The Data engineers will be an integral part of the newly formed data science department at Fourth. Their role fits into our broader data science community together with data scientists. The main role of data engineer will be to (1) maintain and develop the modelling environment and (2) deploy and monitor the ML models.

    Your daily job will include:

    • Ensuring that the cloud-based modelling environment is up and running
    • Ensuring all data is available in the right format and reliable quality as well as all modelling tools (mainly Python and related packages) are in place.
    • Deployment of the ML models developed by colleagues in the data science team – this includes dockerisation of ML pipelines, code review, optimization of the code for speed and memory requirements, deployment to the IT platform (microservice architecture)
    • Writing proprietary packages / frameworks to be used for internal purposes to make the standard tasks easier (such as data load, model testing, exploratory data analysis, etc.).
    • A/B testing and monitoring of the models in production

    Experience and competencies required:

    • Hands-on experience (2+ years) with building data-powered solutions.
    • Hands-on experience with the development, deployment and monitoring of data and machine learning solutions in production.
    • Very strong coding skills (clean and commented code, version control, documentation), experience with the database administration (design, etl, query optimisation) and development skills (dev/uat/prod environments, automated testing and deployment).
    • Hands-on experience with data lakes (HDFS, Snowflake and similar), feature stores (SQL-like databases) – design of new features, adding new data sources from API and other services, database design, query optimization, distributed computing, performance optimization.
    • Hands-on experience with DataOps and MLOps – namely development, testing, deployment and monitoring of data and ML solutions; using tools like MLFlow, KubeFlow, AirFlow or similar; Git and Docker.
    • Hands-on experience with feature engineering and data pipelines using Python, SQL and similar tools.
    • Experience with larger data sets and production environments.

    Benefits and Culture:

    • Personal career development plan, learning paths and mentorship
    • Team centric atmosphere
    • Competitive salary package
    • Brilliant working conditions
    • Encouraging healthy lifestyle and work-life balance
    • Extra paid vacation days after the probation period
    • Supplemental health insurance
    • Fruit and healthy drinks in the office
    • New parents bonus scheme
    • Discounts at Capital Fort facilities

    *Only short-listed candidates will be contacted.

     All personal data provided by you in your application will be processed by Fourth Bulgaria EOOD, UIC 203576042, solely for our recruitment purposes. If you do not provide your personal data, Fourth Bulgaria EOOD will not be able to review your application. Fourth Bulgaria will transfer your personal data only within its corporate group and to companies which provide recruitment support to Fourth Bulgaria. Fourth Bulgaria will ensure you can exercise your rights to access, correction and erasure of your personal data. More information on Fourth Bulgaria’s privacy policy for job candidates is available here and by applying you confirm that you have read it.

    Our Story

    In July 2019 Fourth joined forces with HotSchedules to become the global leader in end-to-end restaurant and hospitality management technology solutions. Together, the merged company now represents the world’s largest and only provider of end-to-end restaurant and hospitality management solutions for customers across the globe and of all sizes—from a single location or franchisee restaurant to a global restaurant or hotel chain. The combined company’s complete software-as-service (SaaS) solution suite including: scheduling, time & attendance, applicant tracking, training, inventory management / procurement, HR / benefits and payroll services now serves customers in 120,000 locations worldwide and is supported by a dedicated, unified team across offices in the US, UK, Bulgaria, China, Australia and UAE.“

    We are an Equal Opportunity Employer

    All qualified applicants will receive consideration without discrimination because of sex, gender identity, gender expression, sexual orientation, marital status, race, color, age, national origin, military status, religion, or disability or any other legally protected status.

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