Beschreibung
Westhouse is one of the leading international recruitment agencies for the procurement of highly qualified experts in fields such as IT lifecycle management, SAP, engineering, commerce and specialist consultancy.For our client we are currently looking for a
Developer for Machine Learning and advanced Analytics (m/f/d)
General information
Reference: 153648
Location: Remote
Start: 19.01.2022 / asap
Volume: full-time
Duration: Minimum end of Q4 2022
Your Skills
- Min. 3 years of experience as a developer for Machine Learning and advanced analytics
- Very good experience with implementing machine learning and deep learning applications as well as building production quality and large-scale deployment of applications related to machine learning.
- Very good Azure technology skills in multiple Azure services (incl. Azure Machine Learning).
- Proven capabilities to develop, maintain and serve machine learning models on infrastructure.
- Strong skills in big data technologies (e.g. Spark) and operationalization technologies (Docker, Kubernetes, CI/CD).
- Experience with algorithms, data structures, and object-oriented programming (e.g. Python, PowerShell, Bicep, ARM).
- Familiar with collaboration tools (e.g. git, Azure DevOps).
- Strong knowledge of machine learning techniques (e.g. KNN, random forest, Bayesian statistics) and of Cloud-Native Architectures, preferably in Azure.
- Experience with R and/or Python applied to machine learning.
- High level of commitment and flexibility in terms of area of assignment in the section, and a willingness to master a wide range of what are sometimes complex tasks.
Your Tasks
- Our client’s Big Data and Analytics Platform (BDAP) provides a rich ecosystem of Data & Analytics/Artificial Intelligence related technologies, deployed and distributed globally in Microsoft Azure. BDAP enables internal customer with a wide range of solutions for data discovery, dashboarding and reporting as well as advanced statistics, machine learning and artificial intelligence. Our Client's offerings include various options to store and transform data (both distributed and locally), and tools to support insight generation i.e. by supporting the model creation process. Projects or Solution teams are enabled to run their (microservice) applications on the necessary infrastructure to build and run their analytics solutions.
- Developing solutions together with a multi-disciplinary team of subject domain experts, project managers, engineers, data scientists and service managers.
- Applying different machine learning techniques (e.g. NLP, classification, outlier detection) to data and analytics problems within the insurance industry.
- Collaborating closely with a team of expert data scientists to bring state-of-the-art machine learning models to production.
- Supporting the end-to-end management of the model lifecycle including DevOps practices and CI/CD capabilities.
- Taking responsibility for using cloud technology, machine learning and data to enable the productivity of the end-custpomers.
Interested?
We look forward to receiving your application documents in electronic form.
Your Contact:
Martyna Kaleka