Job
- Level
- Experienced
- Job Field
- Data, Database
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Munich
- Working Model
- Onsite
Job Summary
In this role, you develop scalable applications for data consolidation and analysis for machine learning, implement ML pipelines, and work closely with data scientists on AI projects.
Job Technologies
Your role in the team
- Together with our clients, you will develop scalable applications for automated consolidation, processing, and analysis of large data sets for machine learning - from conception and prototyping to deployment, batch, and streaming.
- You utilize and develop modern AI environments (e.g., Hadoop, Kubernetes, Cloud) on which you integrate data and databases, and implement, optimize, and operationalize Machine Learning pipelines.
- You evaluate the latest tools and technologies, have a direct impact on our architecture decisions including DevOps/DataOps processes, and drive innovative solutions for data and machine learning management.
- In close collaboration with Data Scientists, you will implement exciting AI use cases (e.g., Entity Extraction, Recommender, Chatbots) with all kinds of data (e.g., time series, images, documents).
- You ensure continuous quality and performance improvement and independently manage applications and contacts during development and operation.
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Our expectations of you
Education
- You have a degree in STEM fields and several years of experience in Data Science and Machine Learning.
Qualifications
- You are proficient in processing large volumes of data, including natural language texts, using technologies such as Kafka, Airflow, Nifi, Spark, ideally within an enterprise environment with typical security requirements (e.g., Identity Management, Data Privacy).
- You are familiar with the design and implementation of Machine Learning pipelines and have ideally already put them into operation.
- You feel comfortable in an agile work environment and use Continuous Integration & Deployment tools & methods (e.g., Docker, Kubernetes, git, Jenkins) to deliver iterative and reproducible results.
- A high sense of responsibility, teamwork skills, enjoyment in working with clients, and willingness to travel characterize you.
- Your communication skills in German at a minimum level of C1 and in English enable you to convince clients and colleagues and to communicate technically complex concepts clearly and understandably.
Experience
- You possess comprehensive methodological expertise in data preparation and modeling, including Natural Language Processing, excellent programming skills in Python and SQL, and practical experience with common database technologies (e.g., PostgreSQL, Hive, Elastic, Cassandra).
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What we offer
- Challenging tasks in the field of artificial intelligence in industry and the public sector at the forefront of technology.
- A modern corporate culture with flat hierarchies, short decision-making paths, and all the prerequisites to achieve great things.
- Excellent opportunities for further training through innovative projects, conference visits & publications, and training sessions.
- A varied and secure workplace with flexible working hours and overtime pay or conversion into vacation.
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Benefits
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
NorCom Information Technology GmbH & Co. KGaA
NorCom offers technological solutions for almost all big companies and large public administrations. NorCom helps you work with and exchange large data sets quickly and securely, ensuring compliance with data governance and data lifecycle management regulations.
Description
- Founding Year
- 1989
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Data Engineer - Artificial Intelligence
- Location
- Munich
- Working Model
- Onsite
- Diversity
- Open for all genders
