Senior Developer/Architect for AI/ML

Náplň práce, právomoci a zodpovednosti:
We 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.

Key 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.

Required Qualifications:
• 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.

Zamestnanecké výhody, benefity:
• Variable and Christmas bonus
• Hybrid type of work – combination of work from home & work from office(telework / homeoffice)
• Flexible Working Hours
• Bridge days – free extra paid leave 6 days per year
• 3 sick days per year (no doctor’s permit needed)
• In case of sickness 100% salary reimbursement 20 days/ year, this includes max. 10 days/ year for of family care
• Additional pension plan
• 300 EUR for regeneration of work force via cafeteria system
• Multisport Card – employer's contribution of 10 EUR
• Recognition and Reward program
• Wellbeing program – Psychological, Legal and Financial Councelling
• Family care program (subsidy for newborns, maternity leave, kindergardens, summer camps)
• Retention program (work anniversary, life anniversary, employee loans)
• Training and development program (business and product trainings, e-learning, language courses, soft skills trainings,…)
• Adjustable standing desk as a standard
• Wide project portfolio in healthcare domain and job rotation within company (Cybersecurity, Artificial Intelligence, Healthcare IT services, …)
• Participation on world famous IT conferences like Microsoft IGNITE for best employees