Data Scientist / Machine Learning Engineer
New
Poznań, Centrum, Gdańsk, Centrum, Łódź, Centrum, Bydgoszcz, Karola Libelta 3, Szczecin, Center, Poznań; Rzeszów, with the flexibility to work 100% remotely.Full-TimeMiddle
Salary3243 - 4756 CHF per month b2b currencySource=conversion; 3543 - 5197 EUR per month b2b currencySource=conversion; 3064 - 4494 GBP per month b2b currencySource=conversion; 4126 - 6051 USD per month b2b currencySource=conversion; 2594 - 3675 CHF per month gross permanent currencySource=conversion; 2835 - 4016 EUR per month gross permanent currencySource=conversion; 2451 - 3473 GBP per month gross permanent currencySource=conversion; 3301 - 4676 USD per month gross permanent currencySource=conversion; 15000 - 22000 PLN per month b2b currencySource=original; 12000 - 17000 PLN per month gross permanent currencySource=original
Apply NowOpens the employer's application page
Job Details
- Languages
- English
- Required Skills
- AWSPythonSQLMachine LearningAzureData sciencePandasRGenerative AI
Requirements
- Solid experience in the design, development, and implementation of ML/DS solutions in an enterprise environment.
- In-depth knowledge of statistics and data analysis (e.g., confidence intervals, significance tests, survival analysis).
- Strong programming skills in Python; R is considered a plus.
- Experience with cloud platforms like AWS SageMaker or Azure ML.
- Familiarity with ML pipelines and MLOps.
- Team-oriented, analytical, and solution-oriented approach.
- Strong communication skills.
- Ideally, experience in the field of GenAI.
- Fluent in English.
Responsibilities
- Design, develop and implement machine learning and data science solutions in an enterprise environment.
- Prepare and analyze complex datasets including handling missing values.
- Apply and optimize machine learning methods (e.g., neural networks, reinforcement learning, decision trees).
- Perform feature engineering and hyperparameter tuning.
- Build models using Python or R and standard data-science libraries.
- Utilize cloud platforms (e.g., Azure ML, AWS SageMaker) and contribute to MLOps.
- Collaborate with cross-functional teams to integrate models into business processes.
View Full Description & ApplyYou'll be redirected to the employer's site
