Data Scientist with AI/ML Expertise
Algemene Inlichtingen- en Veiligheidsdienst - AIVDJob Description
Are you a Data Scientist who enjoys researching and developing models and algorithms? Or do you prefer innovating, validating, and applying these models? Perhaps you excel at bringing these models into production?
What You Will Do
For national security, it is crucial that intelligence teams from the Algemene Inlichtingen- en Veiligheidsdienst (AIVD) and Militaire Inlichtingen- en Veiligheidsdienst (MIVD) can quickly find relevant information in various data streams. The processing of acquired information is done within the frameworks of the Wet op de inlichtingen- en veiligheidsdiensten (Wiv2017).
The Data Science team aims to develop, validate, and productionalize AI/ML solutions. This enables the intelligence teams and operational departments to analyze these data streams. The Data Science team collaborates in three clusters: Research Data Scientists, Applied Data Scientists, and AI/ML Engineers.
- Research Data Scientist: Conduct research and develop models for production use.
- Applied Data Scientist: Innovate and validate state-of-the-art Data Science algorithms and models for new applications.
- AI/ML Engineer: Focus on operationalizing and optimizing these algorithms and models within the on-premise ecosystem for both services (MLOps).
Responsibilities
- Develop pragmatic solutions for non-standard issues within legal frameworks.
- Collaborate with your team to develop, validate, and deploy AI/ML techniques for intelligence research or data acquisition support.
- As a Research Data Scientist, work on projects developing techniques, algorithms, and models that fit our environment and data characteristics.
- As an Applied Data Scientist, validate and improve AI/ML techniques to address short-cycle service-wide issues.
- As an AI/ML Engineer, optimize algorithms and models for production and maintenance, developing a high-performance framework for data enrichment in processing and applications.
What We Offer
Your work is crucial for the safety of the Netherlands. We offer a unique work environment surrounded by technical specialists from various disciplines. You will face computational challenges with diverse data and have a significant role with room for creativity, curiosity, and analytical skills. You will have access to a high-performance infrastructure to support your work and deploy results on a large scale.
Requirements
- Curiosity, strong analytical skills, and a passion for understanding new techniques.
- Ability to translate customer needs into technical solutions.
- Experience in data analysis, cleaning, and processing.
- Team player who shares and tests ideas.
- University-level work and thinking, preferably with a degree in Computer Science, Mathematics, Data Science, or Artificial Intelligence.
- Proficiency in Data Science programming and scripting languages such as Java, R, and Python.
- Knowledge of Big Data techniques and experience with Spark, Hive, CUDA, and Unix-based systems.
- Familiarity with AI/ML frameworks like PyTorch, TensorFlow, ONNX, and TensorRT.
Preferred Experience
- Experience with large datasets and prototyping.
- Knowledge of distributed computing and REST processing frameworks.
Cluster-Specific Experience
- Research Data Scientist: In-depth knowledge of researching, developing, analyzing, testing, and validating Data Science techniques.
- Applied Data Scientist: Broad knowledge of analyzing, testing, validating, and comparing new and existing Data Science techniques.
- AI/ML Engineer: Extensive experience with AI/ML inference and training in distributed computing solutions.
The AIVD embraces diversity and inclusion, welcoming all who meet the requirements for a security clearance, regardless of cultural background, work ability, age, gender, or sexual orientation. Together, we work towards the safety of the Netherlands.
Salary
- Salary level: Scale 11
- Monthly salary: Min €4024 - Max €6110
Benefits Extracted with AI
- Unique work environment
- High-performance infrastructure
- Diverse and inclusive workplace
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