at Bertelsmann
Full TimeDevelop and implement Machine Learning models, focusing on training process optimization, including parallelization.
Design and build cloud-based data pipelines, integrating ML models into existing software solutions.
Create and deploy inference endpoints (APIs) and optimize compute architectures and data structures.
Implement logging and metric generation for models, ensuring comprehensive monitoring and addressing model degradation.
Lead the deployment of machine learning models in Azure or AWS cloud environments, managing the full lifecycle from development to production.
Build CI/CD pipelines for machine learning models using Azure or AWS tools to streamline deployment and updates.
Collaborate with cross-functional teams to continuously improve and advance technologies and methods for ML systems.
Strong proficiency in Python and relevant scripting languages, with experience in software development and scripting for Machine Learning.
Expertise with ML libraries and frameworks (e.g., Pandas, Numpy, Scikit-Learn, TensorFlow, PyTorch, Databricks, MLFlow, dvc, dbt) and the ability to select the right tools for the use case.
Proven experience in optimizing ML training processes, including parallelization techniques to improve model performance.
Experience building inference endpoints (APIs) and managing compute architecture for efficient model inference and data handling.
Skilled in implementing monitoring systems, including logging and metric generation for machine learning models.
Knowledge of cloud platforms (Azure, AWS) for deploying machine learning models and managing model lifecycle, with a focus on addressing model degradation.
Experience with CI/CD pipelines for ML, using tools such as Azure Pipelines, AWS CodePipeline, or similar.
Familiarity with data science tools and best practices for ensuring high-quality and efficient ML workflows.
Microsoft Certified: Azure AI Engineer Associate or other relevant Azure certifications.
Experience with natural language processing (NLP) and computer vision.
Knowledge of data analytics and visualization tools (e.g., Power BI).
Experience with agile development methodologies.
Prior experience working in a consulting or customer-facing role.
Ability to manage multiple projects and priorities simultaneously.
Monthly gross salary from 3800 to 5600 EUR, depending on your level of expertise.
Hybrid way of working with cozy office space in the center of Riga, when needed, and flexible working hours opportunities, based on your own preferences.
Family-oriented company values and healthy attitude towards work and life balance - granting additional 4 vacation days, birthday leave, "Happy Land" space in the office for children, etc.
Individual development and learning plan, including yearly budget for external training.
Necessary essentials – health insurance with dental services and sports coverage.
Possibility to work in mutual trust and positive team environment, to be creative and improve working flows by self-initiatives.
Friendly, multicultural and cooperation orientated colleagues.
Global IT specialist Arvato Systems supports major companies through Digital Transformation. About 3,300 staff in over 25 locations epitomize in-depth technology expertise, industry knowledge, and focus on customer requirements. Working as a team, we develop innovative IT solutions, transition our clients into the Cloud, integrate digital processes, and take on IT systems operation and support.
At the heart of our company is the well-being of our employees and the planet, which we believe go hand in hand. Thats why we provide our team with the tools and environment they need to thrive, ensuring that every team member feels valued and respected. In our inclusive workplace, diversity is not just celebrated but is a cornerstone of our success!
Moreover, our commitment to sustainability and social responsibility is evidenced by our Family Friendly certification from SIF, Green Office recognition and commitment from WWF, and our adherence to Latvias Inclusion and Diversity charter.
We look forward to receiving your application.
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Company: SIA Arvato Systems Latvia
Country: Latvia
State/Region: Riga
City: Riga
Postal Code: LV-1013
Job ID: 273939
Yearly based
Riga, RI, LV, LV-1013
