Machine Learning Engineer
1 tydzień temu
Machine Learning Engineer - B2B Product Governance & Economics Miejsce pracy: Warszawa Technologies we use Expected Python
SQL
Oracle
T-SQL
Optional R
Amazon Machine Learning (ML) Services
AWS
Your responsibilities Develop and implement machine learning algorithms to address business challenges and opportunities.
Utilize Python and SQL to manipulate and analyze data from various sources, including relational databases.
Design, train, and evaluate machine learning models using appropriate methodologies and tools.
Collaborate with cross-functional teams to gather requirements, analyze data, and develop solutions.
Stay updated on the latest advancements in machine learning and data science techniques and technologies.
Contribute to the development and improvement of data structure and processes.
Our requirements Experience with Machine Learning Algorithms: You should have hands-on experience in developing and utilizing machine learning algorithms, particularly with libraries such as Scikit-learn and TensorFlow/Keras.
Proficiency in Python: Strong proficiency in Python is essential for this role, as it will be the primary language used for data manipulation and model development.
SQL Knowledge (Oracle, T-SQL): You should be proficient in SQL, particularly with Oracle and T-SQL, as you will be working extensively with relational databases.
Experience with Relational Databases: A solid understanding of relational databases and experience working with them is necessary for this role.
Bachelor's or higher degree in Computer Science, Statistics, Mathematics, Finance or a related field.
Proven experience in developing and deploying machine learning models in a production environment.
Strong programming skills in Python and proficiency in SQL, particularly with Oracle and T-SQL.
Experience working with relational databases and writing complex queries.
Excellent problem-solving skills and the ability to work effectively in a collaborative team environment.
Optional Knowledge of R Language: Familiarity with the R language is beneficial, as it provides additional tools and libraries for statistical analysis and machine learning.
Familiarity with Amazon ML Services: Experience with Amazon Machine Learning (ML) Services is a plus, as it can facilitate the deployment and management of machine learning models on the AWS platform.
Knowledge of Hadoop/Hive/Spark Technologies: Familiarity with big data technologies such as Hadoop, Hive, and Spark is advantageous, as they are commonly used for processing and analyzing large datasets.
What we offer Umowa o pracę
Dodatkowy dzień wolny z okazji urodzin/ imienin
Pakiet medyczny i ubezpieczenie na życie
Platforma benefitowa - Ty wybierasz z czego korzystasz
Dostęp do platform szkoleniowych, które podniosą Twoją wiedzę
Znam Talent – szkolenia lub pieniądze za polecenie znajomych do pracy
Poza tym możesz u nas liczyć na dostęp do naszych produktów i usług na preferencyjnych warunkach oraz benefity, o których przeczytasz poniżej
Benefits sharing the costs of sports activities
private medical care
sharing the costs of professional training & courses
life insurance
remote work opportunities
flexible working time
corporate products and services at discounted prices
mobile phone available for private use
no dress code
parking space for employees
extra social benefits
sharing the costs of tickets to the movies, theater
holiday funds
birthday celebration
sharing the costs of a streaming platform subscription
employee referral program
charity initiatives
extra leave
platforma benefitowa
Recruitment stages Prześlij swoje CV
Spotkaj się z przyszłym liderem/ liderką zespołu
Witaj w T-Mobile :)
T-Mobile Jesteśmy firmą technologiczną, a naszym celem jest tworzenie innowacyjnych rozwiązań dla klientów indywidualnych i biznesowych.
W T-Mobile wszyscy żyjemy w świecie magenta Kolor ten jest nam bliski, bo oznacza wiarę w powodzenie podejmowanych działań, pewność siebie i wytrzymałość. Właśnie tacy jesteśmy jako zespół.
W #MagentaTeam stawiamy na wymianę doświadczeń, zwinną pracę i szybko adaptujemy się do zmian #MagentaTeam to jednak przede wszystkim mix różnych kompetencji i doświadczeń, osobowości, temperamentów i poglądów. Właśnie w tej różnorodności widzimy naszą największą siłę.
Wszystkie informacje o przetwarzaniu danych osobowych w tej rekrutacji znajdziesz w formularzu aplikacyjnym, po kliknięciu w przycisk "Aplikuj Teraz".
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