Machine Learning Solutions Architect
22 hours ago
We are seeking an experienced Machine Learning Solutions Architect to join our Data Science & AI Competency Center. This role involves designing and implementing scalable, enterprise-grade ML solutions in cloud environments. You will work collaboratively with cross-functional teams to bring AI/ML solutions into production, automate processes, and define best practices and accelerators.
The ideal candidate will have a strong background in machine learning concepts, including types of algorithms, machine learning frameworks, model efficiency metrics, model life cycle, and AI architectures. You should also have good understanding of cloud concepts and architectures, as well as working knowledge with selected cloud services (preferably GCP). Experience in programming ML algorithms and data processing pipelines using Python is essential. At least 6-8 years of experience in production-ready code development is required. Additionally, you should have practical experience with implementing ML solutions on GCP Vertex.AI and/or Databricks.
As a Machine Learning Solutions Architect, you will be responsible for:
- Building high-performing, scalable, enterprise-grade ML/AI applications in cloud environments
- Collaborating with Data Science, Data Engineering, and Cloud teams to implement Machine Learning models into production
- Implementing practical and innovative ML/AI automation for scale and efficiency
- Designing, delivering, and managing industrialized processing pipelines
- Defining and implementing best practices in ML model life cycles and ML operations
- Implementing AI/MLOps frameworks and supporting Data Science teams in best practices
- Gathering and applying knowledge on modern techniques, tools, and frameworks in the area of ML Architecture and Operations
Required Skills and Qualifications:
To be successful in this role, you should possess the following skills and qualifications:
- Good understanding of ML/AI concepts, including types of algorithms, machine learning frameworks, model efficiency metrics, model life cycle, and AI architectures
- Good understanding of cloud concepts and architectures, as well as working knowledge with selected cloud services (preferably GCP)
- Experience in programming ML algorithms and data processing pipelines using Python
- At least 6-8 years of experience in production-ready code development
- Practical experience with implementing ML solutions on GCP Vertex.AI and/or Databricks
- Good communication skills
- Ability to work in a team and support others
- Taking responsibility for tasks and deliverables
- Great problem-solving skills and critical thinking
- Fluency in written and spoken English
Benefits:
We offer stable employment, 100% remote work, flexibility regarding working hours, full-time position, comprehensive online onboarding program, cooperation with top-tier engineers and experts, unlimited access to the Udemy learning platform, certificate training programs, upskilling support, autonomy to choose the way you work, create our community together, activities to support your well-being and health, and plenty of opportunities to donate to charities and support the environment.
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