Data Science Lead for Stone Wool Innovations
4 weeks ago
About the Role
">We are seeking a skilled Senior Machine Learning Engineer to join our Data Science Team in Hedehusene, Denmark. As a key member of our team, you will be responsible for designing, implementing and managing advanced Machine Learning pipelines related to GenAI, computer vision and manufacturing sensor data applications.
Key Responsibilities
- Pipeline Development and Deployment: Design, develop and implement advanced Machine Learning pipelines in both cloud, on-prem and edge devices.
- Model Monitoring and Alerting: Implement and support model monitoring and alerting systems.
- Real-Time Processing: Implement efficient algorithms for real-time processing of sensor data.
- Edge Computing: Deploy models on edge computing devices such as Nvidia Jetson.
- GenAI Applications: Use Azure OpenAI, vector databases, Langchain and several other services and packages to deploy custom GenAI applications.
- CI/CD Practices: Implement continuous integration and deployment (CI/CD) practices to streamline model development and deployment.
Collaboration and Leadership
- ML Ops Practices: Implement Machine Learning Ops practices to streamline the development, deployment, and maintenance of models in production.
- Team Collaboration: Collaborate with the team in identifying areas for improvement and recommend strategies to enhance the data science function in our organization.
- Infrastructure and Platform: Collaborate with Infrastructure & Platform team to ensure development of robust ML pipelines.
- Data Engineers: Collaborate with Data engineers to identify data sources and develop efficient data pipeline strategies.
Requirements and Qualifications
- Education: Master's degree in computer science, Data Science, Mathematics, Statistics, or related field.
- Experience: 5+ years of experience in Data Science and either the manufacturing industry or with GenAI.
- Skills: Excellent skills within Python, R, SQL, and cloud computing technologies. Hands on experience in deploying models and algorithms into production systems is desirable.
- Tools and Frameworks: Experience with Orchestration, Containerization, DevOps & ML Ops tools and frameworks such as Docker, Kubernetes, Kubeflow, MLflow, Azure DevOps etc.
- CLOUD COMPUTING AND MACHINE LEARNING PLATFORMS: Common Cloud & Machine Learning platforms such as Azure, Snowflake, Databricks and more.
- INFRASTRUCTURE AS CODE SOLUTIONS: Experience with developing Infrastructure as Code solutions and using for example Bicep.
- DEVOPS PRACTICES: In depth knowledge of DevOps practices and tools such as Git, Jenkins, and Ansible.
- AGILE DEVELOPMENT: Familiarity with Agile development as applied to Data Science.
About Us
We are ROCKWOOL A/S, the world leader in stone wool solutions. We transform volcanic rock into safe, sustainable products that help people and communities thrive. Our company was founded in 1937 in Denmark and we have over 12,000 employees located in 40+ countries with 51 manufacturing facilities. Our purpose is to enrich modern living through innovative stone wool solutions. Sustainability is central to our business strategy and we actively contribute to the United Nations Sustainable Development Goals (SDG's) framework.
Earnings potential: Based on Danish salary scales, this role has an estimated annual earnings potential of approximately 1,200,000 DKK (~ $180,000 USD), plus benefits, depending on qualifications and location.
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