Senior AI Developer/ Architect

Warszawa, mazowieckie
Stała
Pełny etat

22 dni temu

Location: PolandDo you want to help create the future of healthcare? Our name, Siemens Healthineers, was selected to honor our people who dedicate their energy and passion to this cause. It reflects their pioneering spirit combined with our long history of engineering in the ever-evolving healthcare industry. We offer you a flexible and dynamic environment with opportunities to go beyond your comfort zone in order to grow personally and professionally. Sound interesting?Then come and join our global team as Senior AI Developer/ ArchitectWe are seeking a passionate and innovative Senior AI Developer/ Architect to join our IT organization as part of a dynamic cross-functional team. In this role, you will build and maintain the data infrastructure required for AI/ML models, ensuring data is easily accessible, clean, and organized for downstream tasks. You will also develop AI models, perform data analysis, and turn data insights into actionable business strategies. Additionally, you will work with business stakeholders to identify use cases, analyze data, and develop insights and predictive models.Responsibilities:Data Infrastructure Development and Maintenance:

Build and maintain data pipelines and infrastructure to collect, process, and make data accessible for AI/ML models.
Design and implement data pipelines using ETL tools (e. g. , Azure Data Factory, Apache Spark).
Manage and optimize data storage solutions (e. g. , Azure Data Lake, Synapse Analytics).
Ensure data quality, consistency, and security.

AI Model Development and Data Analysis:

Develop AI models, perform data analysis, and turn data insights into actionable business strategies.
Conduct exploratory data analysis (EDA) to uncover trends and patterns.
Work on feature engineering, model selection, and validation.
Interpret model outputs and communicate results to non-technical stakeholders.

Collaboration and Stakeholder Engagement:

Work with business stakeholders to identify use cases, analyze data, and develop insights and predictive models.
Collaborate with the data team to define data requirements for model training and evaluation.
Engage with business teams to understand their needs and deliver data solutions that add tangible value.
Communicate complex data concepts and the benefits of data projects to non-technical stakeholders effectively.

Requirements:

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
Proficiency in SQL, Python, and data pipeline tools.
Experience with cloud data storage solutions (Azure, AWS, Google Cloud).
Understanding of data governance and compliance requirements.
Strong knowledge of machine learning algorithms and best practices.
Ability to translate complex analyses into actionable insights.
Proficiency in Python, R, and statistical analysis.

Preferred Qualifications:

Experience in developing data solutions for marketing, sales, or communications.
Knowledge of cloud services (AWS, Azure, Google Cloud) and their data offerings.
Demonstrated ability to work in cross-functional teams and manage projects.
Familiarity with agile development methodologies.

We offer:

Exciting work in international team and corporation.
You can work remotely/hybrid/in one of our local offices.
We provide contract of employment with benefits package (we might be flexible regarding type of contract).
We provide necessary tools.

If you are interested use the “Apply” button.Our culture:At Siemens Healthineers, we take into account different perspectives, are open to dialogue and challenge conventions. Change is an integral part of our work. We strive to be a leader of change in our industry, not just to respond to them. We invite you to take on new challenges with us, test your ideas and celebrate successes.We highly value diversity, inclusion and equal opportunities, so we warmly invite everyone, regardless of their gender identity, to apply for this position. We also encourage people with disabilities to apply.Do you want to know more? Contact us.At you will find additional information about our areas of activities.We care about data privacy and take it seriously in accordance with the GDPR and other regulations related to personal data protection. For this reason, please do not send us your CV or other application documents by e-mail. Instead, please create your profile on our Career Portal , which allows you to submit your documents, apply for open positions and to obtain information about our vacancies and career development at Siemens.

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