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Cloud Architect
2 months ago
We are seeking a highly experienced Principal Architect to join our growing team of talented AI Architects, Machine Learning Engineers, and Data Scientists at UKG. As a key member of our AI/ML engineering team, you will be responsible for designing and implementing scalable, high-performance, reliable, and cost-effective AI software and services for our HCM and WFM product lines.
Key Responsibilities- Translate customer requirements into architectural models that operate at large scale, with high performance, and deployed on serverless cloud.
- Define, deploy, and advance processes for AI/ML Development and MLOPS, including API-first principles, microservices, SDLC/MDLC, CI/CD, quality, monitoring, observability, security, extensibility, and maintainability of software and services.
- Support and mentor a team of highly motivated engineers in design implementations, best practices for AI/ML applications.
- Lead by example to review code, look for design breaches, provide meaningful and relevant feedback to data scientists and engineers, and stay up to date with system changes.
- Comfortably present and acquire consensus using multiple methods: written diagrams and text, in-person meetings, in-person, and remote presentations to both technical, semi-technical, and non-technical audiences.
- 3+ years of experience in architecting and building AI and ML products or platforms in a software product development organization.
- 15+ years of previous software engineering experience with proficiency in:
- One or more modern programming languages like Java, Python, or Scala.
- Variety of database technologies like Postgres, SQL Server, Big Query, Mongo DB.
- CI/CD, DevOps, and related tooling, including Gradle, Jenkins, Quark, and Maven.
- Understanding of machine learning algorithms such as Linear and Logistic regressions, Decision tree, Naive Bayes, KNN, K-means, Random Forest.
- Good communication skills in French and English, both written and spoken.
- Experience with data governance and management best practices. Data modeling specifically for building insights and serving.
- Experience building, optimizing, deploying ML workflows/pipelines. Experience with Services Oriented Architecture, microservices principles.
- Education: Bachelor's degree in Computer Science, Mathematics, Information Systems, or similar field, or equivalent experience.
UKG is a leading provider of strategic HR, payroll, talent, and workforce management solutions for organizations of all sizes. We offer a dynamic and collaborative work environment, opportunities for professional growth and development, and a competitive compensation package.