Senior Data Engineer and Machine Learning Specialist
Vor 7 Tagen
We are seeking a highly skilled Senior Data Engineer and Machine Learning Specialist to join our team at Raiffeisenbankengruppe. As a key member of our international team, you will play a crucial role in driving innovation and transformation in our financial institution.
Key Responsibilities- Knowledge Sharing and Education: Facilitate discussions and forums for knowledge exchange among community members, including both experts and novices.
- Workshops and Training: Conduct workshops, seminars, and training sessions to transfer knowledge and skills to community members.
- Data Engineering and Machine Learning: Educate and raise awareness about the importance and potential of data engineering and machine learning, with a focus on data quality and automation.
- Expert Advice: Provide expert advice on best practices, methodologies, and technologies powering data science use cases.
- Proof of Concepts: Demonstrate the practical application of data engineering and machine learning through blueprints, case studies, pilot projects, or proof of concepts.
- Cloud Infrastructure: Utilize state-of-the-art cloud infrastructure (end-to-end data science framework on AWS using Databricks), ensuring the effective application and generating reusable solutions.
- Staying Updated: Stay updated on the latest developments in the field to provide current and relevant advice.
- Ethical Practices: Advocate for ethical practices in data engineering and machine learning, emphasizing data privacy, security, and responsible AI.
- Policies and Guidelines: Develop policies and guidelines for e.g. Model Development and AI Governance.
- Solid Technical Hands-On: Profound knowledge of data engineering practices and machine learning algorithms, with the ability to apply them to solve real-world problems.
- Educational Guidance: Experience in teaching, consulting, or mentoring, with the capability to develop and deliver engaging content for both classic machine learning techniques, data processing, and automation.
- Clean Coding & Documentation: Excellent coding skills in Python (every other coding language is a plus) and familiarity with popular machine learning libraries. Experience in creating documentation, training material is a must.
- Goal Orientation & Can-Do Attitude: Proven track record of delivering successful use cases including complex data flows and business processes. Energetic, enthusiastic, and passionate about delivering high-quality analytical products in a dynamic and changing environment.
- Ethical and Collaborative Approach: Commitment to ethical data practices and the ability to collaborate across various groups to foster a culture of innovation in data engineering and machine learning.
- Creation of Guidelines: Development of policies, and guidelines based on the EU AI Act and other regulatory requirements.
- Work-Life Balance: Flexible working hours & extensive hybrid working possibilities.
- Meaningful Career Options: Opportunities to develop personally & professionally.
- Learning: As part of our DNA & culture.
- Easy Moving: Work permit support.
- Easy Commuting: Free public transport pass.
- Canteen: Healthy, tasty, and heavily subsidized.
- Leisure Time Activities: Attractive sports and cultural offers (free museum tickets, reduced gym membership, etc.).
- Saving: Various vouchers and discounts are being offered.
- Family Friendly: Gender-neutral parental leave etc.
- Salary: Starting at EUR gross p.a. including overtime (market-compliant overpayment is provided dep. on experience / qualification).
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