Senior Manager leading design and implementation of integration solutions for enterprise systems at Simpson Thacher. Collaborating with teams to enhance scalability, security, and reliability.
About the role
- Solution Architect for Machine Learning Applications at Plusgrade, shaping future travel solutions through innovative ML systems.
Responsibilities
- Lead the end-to-end architectural design for machine learning applications, ensuring all solutions are highly-available, low latency, scalable, robust, and reusable.
- Partner closely with the Data Science team to ensure models are production-ready and aligned with application requirements.
- Collaborate with the Data Engineering Architect to synchronize data pipelines, storage solutions, and feature delivery.
- Work with the broader community of organization architects to reach consensus and ensure consistency across technology standards.
- Design "Full-Stack" solutions that encompass both complex back-end ML logic and intuitive front-end delivery layers.
- Actively contribute to the codebase by developing core Python application components and integration logic.
- Manage technical delivery by adhering to the team roadmap and ensuring all solutions are feasible to deliver by designated due dates.
Requirements
- 7+ years of experience in software engineering or systems architecture, with a significant focus on Machine Learning systems.
- Expert-level proficiency in Python and its associated ecosystem for application development.
- Proven experience designing and implementing full-stack architectures (Back-end APIs and Front-end frameworks).
- Strong knowledge of distributed systems and scalable infrastructure (e.g., Docker, Kubernetes, AWS).
- Experience managing the lifecycle of production-grade machine learning applications.
- Effective communicator and collaborator, capable of aligning technical strategies between data scientists, engineers, and stakeholders.
- Self-disciplined, motivated, and a problem-solver mindset.
Benefits
- RRSP Matching
- Comprehensive Health Plans
- Flexible Paid Time Off
- Travel Experience Perk
- Annual Wellness Perk
- Commuter Perk
- Tenure-based Work From Anywhere Program
- Parental Leave Top Up
- Adventure Pass
- Learning Allowance
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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