ML Ops Engineer

3 dni temu


Warsaw, Polska SQUARE ONE RESOURCES sp. z o.o. Pełny etat

ML Ops Engineer Miejsce pracy: Warszawa Technologies we use Expected Microsoft Azure
Databricks
Python
SQL
Git
Optional Dash
Shiny R
Streamlit
Operating system Windows
About the project Together with one of our esteemed clients, a leader in the Fast-Moving Consumer Goods (FMCG) sector, we are seeking a talented and driven ML Ops Engineer to join their dynamic team.

Check out the position below and if you are interested in this opportunity, please apply by sending us your CV in Microsoft Word/PDF format.
Your responsibilities Optimize, standardize and implement data science and machine learning solutions at scale and in cloud-based environments (Azure)
Participate in the end-to-end lifecycle of data science projects through the use of DevOps, code, experiment and model management, CI/CD and further industry best practices
Write well-designed, testable, efficient code
Work closely with engineering to continuously improve the way we consume data and deploy models in production
Design and lead on monitoring, troubleshooting, debugging and incident management for our ML pipelines
Be a trusted advisor and evangelist to the team and stakeholders on various aspects of ML Ops, from scaling and throughout, to infrastructure and deployment strategies
Our requirements 2+ years of professional experience in ML Ops or ML engineering, particularly in productionizing and scaling ML models
Broad familiarity with Azure cloud environment and Databricks, including its setup and maintenance as an ML platform
Advanced proficiency with Python and SQL in version control systems (git) plus their use in building ML & data pipelines
Proven experience with software development best practices including testing, continuous integration, and DevOps tools
Good understanding of data science lifecycle and the way data scientists work to deliver value
Familiarity with agile software development lifecycle (SCRUM, Kanban, etc.)
Attention to clarity of code, ease of development, and correctness of implementations
Business-ready command of English, written and spoken
Optional Experience in productionizing ML tools involving a user interface, e.g. Dash, Shiny R, Streamlit
Experience in Azure cloud resource setup for purposes of data solutions
Great communication skills to guide audiences of a broad technical knowledge range through complex ML Ops topics
Practice in coaching / mentoring younger team members in your expertise areas
This is how we organize our work This is how we work scrum
kanban
This is how we work on a project Continuous Deployment
Continuous Integration
DevOps
Development opportunities we offer technical knowledge exchange within the company
What we offer Salary: up to 145 PLN/h net
Start: 15.07.2024
Contract: B2B contract
Benefits remote work opportunities
SQUARE ONE RESOURCES sp. z o.o. W Square One Resources już od ponad 20 lat pomagamy firmom zarządzać procesami rekrutacyjnymi na szeroką skalę. Nasze biura zlokalizowane są w Londynie i Warszawie, ale relacje nawiązujemy z klientami z całego świata, od start-upów po globalne korporacje. Poza dobrymi relacjami z naszymi partnerami, dbamy również o naszych kandydatów, zapewniając im możliwość rozwoju zawodowego. Tworzymy zgrany zespół i szukamy osób, które pomogą mu się rozwijać i budować zespoły IT.
Klikając w przycisk „Aplikuj” lub w inny sposób wysyłając zgłoszenie rekrutacyjne, zgadzasz się na przetwarzanie Twoich danych osobowych przez SQUARE ONE RESOURCES sp. z o.o. z siedzibą w: Puławska 2, 02-566 Warszawa (Pracodawca), jako administratora danych osobowych w celu przeprowadzenia rekrutacji na stanowisko wskazane w ogłoszeniu.
Twoje dane osobowe będą przetwarzane w oparciu o następujące podstawy prawne: (a) aby podjąć działania na Twoje żądanie przed zawarciem umowy (np. informacje o oczekiwanym wynagrodzeniu i dostępności do rozpoczęcia pracy); (b) w oparciu o nasz prawnie uzasadniony interes (np. imię, nazwisko, data urodzenia, dane kontaktowe, wykształcenie, kwalifikacje zawodowe, przebieg dotychczasowego zatrudnienia); c) w oparciu o Twoją zgodę, która wyrażona jest poprzez przeslanie dokumentów aplikacyjnych zawierających takie informacje jak np. wizerunek czy zainteresowania.
Podanie wszystkich danych osobowych, o których mowa powyżej jest dobrowolne, natomiast dane wymienione w lit. a) i b) są niezbędne do wzięcia udziału w rekrutacji. Niepodanie danych skutkuje brakiem możliwości rozpatrzenia kandydatury. Podanie pozostałych danych jest dobrowolne, ale może pomóc w sprawnym przeprowadzeniu procesu rekrutacji.
Masz prawo żądać dostępu do Twoich danych (w tym uzyskania ich kopii), sprostowania danych, ich usunięcia, ograniczenia przetwarzania, przeniesienia, jak również wniesienia sprzeciwu wobec ich przetwarzania. Masz także prawo wniesienia skargi do Prezesa Urzędu Ochrony Danych Osobowych.
Twoje dane osobowe mogą zostać przekazane dostawcom usługi publikacji ogłoszeń o pracę, dostawcom systemów do zarządzania rekrutacjami, dostawcom usług IT (hosting), dostawcom systemów informatycznych.
Podane przez Ciebie dane osobowe nie będą wykorzystywane w celu profilowania albo podejmowania decyzji w sposób zautomatyzowany.
Twoje dane osobowe będą przetwarzane przez okres maks. 1 roku od zakończenia publikacji ogłoszenia, chyba, że wyraziłeś odrębną zgodę na wykorzystanie Twoich danych osobowych w przyszłych rekrutacjach.
W celu realizacji praw lub w przypadku jakichkolwiek pytań związanych z przetwarzaniem Twoich danych osobowych skontaktuj się z nami pod adresem: plinfo@squareoneresources.com.


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