Overview

Senior Engineer Manager, AI/ML Platform Jobs in Old Toronto at Knewin

Title: Senior Engineer Manager, AI/ML Platform

Company: Knewin

Location: Old Toronto

Category: IT/Tech, Software Development

Location: Old Toronto

Job Requisition  #

24WD76040

Position Overview

We are seeking ahands-onSenior Manager to lead our skilled team of engineers in the design, development, and maintenance of our advanced artificial intelligence and machine learning solutions. Your role extends beyond technicalleadership; you will be a pivotal figure in fosteringcollaborationwith partners and driving platform adoption. Collaborating closely withcross-functional teamsincluding product management, data science, and infrastructure, you will define and execute the AI/ML platform roadmap.

Your responsibilities encompass driving the technical strategy, execution, and delivery of scalable AI/ML platforms, ensuring alignment with organizational goals and priorities. This role requires a blend of technical expertise in AI/ML technologies, and aproven track recordof delivering complex projects on time and within budget.

Location:

Toronto, Canada

Responsibilities

Lead and mentor a team of engineers in the development and deployment of AI/ML solutions

Collaborate withcross-functional teamsincluding product management, data science, data and cloud infrastructure to define and execute the AI/ML platform roadmap

Provide sound technical guidance and drive crucial technology decisions

Actively participate in coding, review processes, andproblem-solvingalongside your team

Stay updated with the latest advancements in AI/ML technologies

Drive the design and architecture of scalable, reliable, and efficient AI/ML systems

Ensure adherence to best practices in software development, code quality, and security standards

Manage project timelines andresource allocationto deliver projects successfully

Foster a culture ofinnovation,collaboration, andcontinuous improvementwithin the engineering team

Actively participate in the hiring process to attract and onboard top-tier engineering talent, ensuring the team possesses the necessary skills and expertise to execute on the AI/ML platform vision

Minimum Qualifications

BS/MS in Computer Science, Engineering, or a related field with a focus on AI/ML. (MS preferred)

Minimum of 8 years of experience of software engineering, with at least 3 years in aleadershipor management role

Strong proficiency in programming languages such as Python, Java, or Go

Hands-on experiencein designing and implementing AI/ML solutions using cloud infrastructure using frameworks like Tensor Flow, PyTorch, or scikit-learn

Deep understanding of algorithms, data structures, and statistical techniques used in machine learning

Excellentcommunication skillswith the ability to collaborate effectively with technical and non-technical stakeholders

Preferred Qualifications

Experience building and managing large-scale distributed systems and microservices architecture

Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform

Experience with managed ML cloud services like AWS Sage Maker or Azure Machine Learning

Prior experience in building AI/ML platforms or products from inception to production deployment

Knowledge of Dev Ops practices and tools for CI/CD, automation, and infrastructure as code

Understanding of MLOps principles and practices for effectively managing and automating machine learning workflows, including model versioning, monitoring, and deployment

Strongleadershipskills with aproven track recordof building and …

 

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