MLOPS/AI Lead
- Toronto, ON, Canada
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Original job description
Greetings!
Iris’s leading financial client is looking for MLOPS/AI Lead to join their team at Toronto, ON(Hybrid) location.
Job Title: MLOPS/AI Lead
Location: Toronto, ON(Hybrid)
Duration: Long Term
Job Description:
- Require a strong blend of technical depth, system design and leadership and management skills and apply these principles to building out an evolving ML / AI platform on cloud.
- Oversee the design, implementation, and maintenance of ML Ops solution using AWS services like Amazon SageMaker and other platforms
- Own relationship with key internal stakeholder management / drive product roadmap - Ensure seamless collaboration across cross-functional teams including data scientists, data engineers, software developers, and business stakeholders, adapting communication for various personas across LoBs
- Influence and collaborate with various stakeholders including platform users, architects, cloud engineering, DevOps and others
- Lead and manage a geographically distributed team (offshore) of talented engineers, provide technical directions, coach junior members, and manage priorities
About Iris Software Inc.
With 4,000+ associates and offices in India, U.S.A. and Canada, Iris Software delivers technology services and solutions that help clients complete fast, far-reaching digital transformations and achieve their business goals. A strategic partner to Fortune 500 and other top companies in financial services and many other industries, Iris provides a value-driven approach - a unique blend of highly-skilled specialists, software engineering expertise, cutting-edge technology, and flexible engagement models. High customer satisfaction has translated into long-standing relationships and preferred-partner status with many of our clients, who rely on our 30+ years of technical and domain expertise to future-proof their enterprises. Associates of Iris work on mission-critical applications supported by a workplace culture that has won numerous awards in the last few years, including Certified Great Place to Work in India; Top 25 GPW in IT & IT-BPM; Ambition Box Best Place to Work, #3 in IT/ITES; and Top Workplace NJ-USA.
More about this job
Responsibilities
Lead the design, implementation, and maintenance of cloud-based MLOps solutions, including those using AWS and Amazon SageMaker, while shaping the product roadmap with internal stakeholders. Manage and guide a geographically distributed engineering team and coordinate with data scientists, engineers, architects, DevOps, and business stakeholders.
Requirements
The role calls for strong technical depth in ML/AI platforms and system design, along with leadership and management capabilities. It also requires stakeholder engagement, cross-functional collaboration, and experience directing and coaching a distributed engineering team.
Skills
- MLOps
- Artificial Intelligence
- Machine Learning
- System Design
- AWS
- Amazon SageMaker
- Cloud Platforms
- Product Roadmapping
- Stakeholder Management
- Cross-Functional Collaboration
- Team Leadership
- Technical Direction
- Coaching
- Priority Management
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Management & Leadership
- Data & Analytics
- Consulting
Keywords
- MLOps
- Artificial Intelligence
- Machine Learning
- Cloud Platform
- AWS
- Amazon SageMaker
- System Design
- Product Roadmap
- Stakeholder Management
- Data Scientists
- Data Engineers
- Software Developers
- Cloud Engineering
- DevOps
- Cross-Functional Teams
- Distributed Teams
- Technical Leadership
- Financial Services