- Work with Business SME's and analysts to develop automated/semi-automated data extraction solutions for pricing data from structured & semi-structured sources.
- Assess new and promising technologies with regards to their business potential and technical maturity, particularly in AI, MLOps, NLP and Generative AI.
- Design and implement data products in collaboration with data users and other engineering teams.
- Support many other exciting projects in a collaborative environment with colleagues from Swiss Re's international offices.
- Degree in Computer Science, Statistics, Mathematics, or related field.
- Working knowledge of Python
- Working knowledge of machine learning/statistics/natural language processing
- Ambition to build production grade data ingestion and transformation pipelines.
- Exposure to agile development approaches (e.g., Scrum) and familiarity with tools like Azure DevOps, Confluence
- Experience in building data ingestion and transformation pipelines, ML model training pipelines and orchestration on platforms.
- Interest in working close to data scientists and domain experts.
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Senior Machine Learning Engineer - Bratislava, Slovensko - Swiss Re
Popis
About the team
Swiss Re is a risk knowledge company. Our work focuses on predicting, preparing, and protecting against the world's most significant risks, ultimately strengthening society. The Digital & Technology department has global responsibility for building and delivering solutions.Our work is about predicting, preparing and protecting against the world's biggest risks so society becomes stronger. The Digital & Technology department is globally responsible for building solutions for our business. We are diverse team of experts who are passionate in providing innovative solutions for our reinsurance business. We are currently investing in building strategic data management capabilities to ingest and harness key data sets across Swiss Re. We are looking to apply machine learning, AI, and data engineering to real-world problems.
If you join us, you will be able to participate in a variety of interesting initiatives. For example, you will:
Requirements fot the employee:
Candidates with education suit the position.
University education (Bachelor's degree)
University education (Master's degree)
Postgraduate (Doctorate)
Language skills
English - Upper intermediate (B2)
About you
To be successful in the role, you need to have these technical skills and knowledge:
Additional advantages
If you also have the following experience and interests, it is a huge plus:
Minimum base salary for this job from 3300 EUR gross/month/full time. Our offer to you may be higher based on your skills and experience and will include additional rewards and benefits. We are required by law to disclose basic wage component (minimum salary) for the advertised positions. We carefully consider your professional competencies, qualifications and experience in our compensation package and/or when offering you other positions. Our compensation philosophy is to pay fairly, also considering market situation and the value employees may bring to Swiss Re.
About Swiss Re
Swiss Re is one of the world's leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world.
Our success depends on our ability to build an inclusive culture encouraging fresh perspectives and innovative thinking. We embrace a workplace where everyone has equal opportunities to thrive and develop professionally regardless of their age, gender, race, ethnicity, gender identity and/or expression, sexual orientation, physical or mental ability, skillset, thought or other characteristics. In our inclusive and flexible environment everyone can bring their authentic selves to work and their passion for sustainability.
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Reference Code: 127657