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Senior Cloud Machine Learning Solutions Developer
2 weeks ago
We are seeking an experienced Machine Learning Architect to lead our innovation organization.
The ideal candidate will have a strong foundation in software engineering principles, software architecture design, and best practices, with proven experience in Cloud Data pipelines, ideally in the Machine Learning context.
About the Role:
- Play a key role in producing high-level approaches for our ML systems, aligning with peers, Tech Leads, and Data Scientists on best practices for this domain.
- Work on Machine Learning related projects, designing scalable software systems with a focus on quality, performance, and maintainability.
- Lead systems architecture decisions, ensuring the design aligns with business requirements and technical standards.
- Collaborate with Research Leads and Product Owners to gather requirements, design ML pipelines, and coordinate software delivery.
- Create and maintain documentation for initiatives the team participates in.
- Participate or lead in design conversations among systems and other Architects/Principal Engineers for critical systems that can be on premise or Cloud.
- Work with stakeholders and Data Science teams to design monitoring pipelines strategies.
Key Qualifications
- 10+ years of professional experience in software development.
- 5+ years of experience leading teams and/or systems designs.
- Strong foundation in software engineering principles and architecture.
- Proficiency in design software architecture and data pipelines.
- Experience delivering Cloud architectures (e.g., Azure, AWS, GCP).
- Experience working in Agile Scrum environments.
- Excellent communication skills in English, both written and verbal.
Nice to Have
- Experience with Python and/or Machine Learning.
- Data Engineering projects.
- Experience working with data transformations (pandas, spark, arrow, Databricks).
- ADOIT or other Architecture documentation tool experience.
- Product Oriented mindset.