Machine Learning Engineer

2 tygodni temu


Warsaw, Polska T-Mobile Pełny etat

technologies-expected :
Python

SQL
Oracle
T-
SQL

technologies-optional :
R
Amazon Machine Learning (ML) Services

AWS

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.

requirements-expected :

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.

offered :

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

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
employee referral program
charity initiatives

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