Machine Learning Engineer @ T-Mobile Polska in T-Mobile Polska

Why Join Us:

• Cutting-Edge Projects : Work on innovative projects that leverage advanced machine learning techniques to drive business success.
• Professional Development : We support continuous learning and provide opportunities for professional growth and skill enhancement.
• Collaborative Culture : Join a diverse and inclusive team of talented professionals who are passionate about using data to make a difference.
• Competitive Benefits : Enjoy a competitive salary, comprehensive benefits package, and opportunities for career advancement.

If you are a motivated individual with a passion for data science and machine learning, we want to hear from you! Join us in shaping the future of our company through innovative data-driven solutions

Recruitment process:

1. CV review
2. Interview with a direct manager
3. Technical Interview + Test
4. Welcome to T-Mobile!

• 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.

Preferred Skills:

• 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.

Qualifications:

• 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.

Why Join Us:

• Cutting-Edge Projects : Work on innovative projects that leverage advanced machine learning techniques to drive business success.
• Professional Development : We support continuous learning and provide opportunities for professional growth and skill enhancement.
• Collaborative Culture : Join a diverse and inclusive team of talented professionals who are passionate about using data to make a difference.
• Competitive Benefits : Enjoy a competitive salary, comprehensive benefits package, and opportunities for career advancement.

If you are a motivated individual with a passion for data science and machine learning, we want to hear from you! Join us in shaping the future of our company through innovative data-driven solutions

Recruitment process:

1. CV review
2. Interview with a direct manager
3. Technical Interview + Test
4. Welcome to T-Mobile!
,[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.]
Requirements: Machine learning, Python, SQL, Oracle, scikit-learn, TensorFlow, Keras, T-SQL, Degree, Amazon ML Services, Hadoop, Hive, Spark
Additionally: Private healthcare, Sport subscription, Free coffee, Mobile phone, Free parking, No dress code.