ML Architect

Job Description You will be working on Machine Learning related projects with a focus on Cloud Data Pipelines and AI/ML systems. Your responsibilities will include: - Designing scalable software systems emphasizing quality, performance, and maintainability. - Leading systems architecture decisions aligned with business requirements and technical standards. - Collaborating with Research Leads and Product Owners to gather requirements, design ML pipelines, and coordinate software delivery. - Creating and maintaining documentation for various team initiatives. - Participating or leading design conversations for critical systems, on premise or Cloud. - Working with stakeholders and Data Science team to design monitoring pipeline strategies. Qualifications: - 10+ years of professional experience in software development. - 5+ years of experience in leading teams and systems designs. - Strong foundation in software engineering principles and architecture. - Proficiency in designing software architecture and data pipelines. - Experience with cloud architectures (e.g., Azure, AWS, GCP). - Familiarity with Agile/Scrum environments (PROTECTED is a plus). - Excellent English communication skills, both written and verbal. Nice to Have: - Experience with Python and/or Machine Learning/Data Engineering projects. - Experience in data transformations (pandas, spark, arrow, Databricks). - ADOIT or other Architecture documentation tool experience. - Product Oriented mindset. You will be offered a competitive salary based on experience and skills, along with opportunities for career growth and professional development in a collaborative and inclusive work environment. Benefits include flexible working environment, volunteer time off, LinkedIn Learning, and Employee-Assistance. You will be working on Machine Learning related projects with a focus on Cloud Data Pipelines and AI/ML systems. Your responsibilities will include: - Designing scalable software systems emphasizing quality, performance, and maintainability. - Leading systems architecture decisions aligned with business requirements and technical standards. - Collaborating with Research Leads and Product Owners to gather requirements, design ML pipelines, and coordinate software delivery. - Creating and maintaining documentation for various team initiatives. - Participating or leading design conversations for critical systems, on premise or Cloud. - Working with stakeholders and Data Science team to design monitoring pipeline strategies. Qualifications: - 10+ years of professional experience in software development. - 5+ years of experience in leading teams and systems designs. - Strong foundation in software engineering principles and architecture. - Proficiency in designing software architecture and data pipelines. - Experience with cloud architectures (e.g., Azure, AWS, GCP). - Familiarity with Agile/Scrum environments (PROTECTED is a plus). - Excellent English communication skills, both written and verbal. Nice to Have: - Experience with Python and/or Machine Learning/Data Engineering projects. - Experience in data transformations (pandas, spark, arrow, Databricks). - ADOIT or other Architecture documentation tool experience. - Product Oriented mindset. You will be offered a competitive salary based on experience and skills, along with opportunities for career growth and professional development in a collaborative and inclusive work environment. Benefits include flexible working environment, volunteer time off, LinkedIn Learning, and Employee-Assistance.