Senior Software Development Manager, AI/ML Platform at Autodesk in Canada | Kablio

Role

Description

talent acquisition

technical guidance

team leadership

code development

project management

ai/ml architecture

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
Foster a culture of innovation, collaboration, and continuous improvement within the engineering team
Provide sound technical guidance and drive crucial technology decisions
Lead and mentor a team of engineers in the development and deployment of AI/ML solutions
Actively participate in coding, review processes, and problem-solving alongside your team
Manage project timelines and resource allocation to deliver projects successfully
Ensure adherence to best practices in software development, code quality, and security standards
Collaborate with cross-functional teams including product management, data science, data and cloud infrastructure to define and execute the AI/ML platform roadmap
Stay updated with the latest advancements in AI/ML technologies
Drive the design and architecture of scalable, reliable, and efficient AI/ML systems

Requirements

sagemaker

mlops

leadership

python

aws

ci/cd

Experience building and deploying AI models, for rapid AI application development, using AWS SageMaker, Bedrock or Azure Machine Learning
Understanding of MLOps principles and practices for effectively managing and automating machine learning workflows, including model versioning, monitoring, and deployment
Ability to inspire, motivate, and guide team members towards achieving project goals
12+ years of experience of software engineering, with at least 3 years of experience in a management role
Strong leadership skills with a proven track record of building and motivating high-performing engineering teams
Strong proficiency in programming languages such as Python, Java
Experience building on cloud platforms such as AWS, Azure, or Google Cloud Platform
Excellent communication skills with the ability to collaborate effectively with technical and non-technical stakeholders
BS/MS in Computer Science, Engineering, or a related field with a focus on AI/ML. (MS preferred)
Knowledge of DevOps practices and tools for CI/CD, automation, and infrastructure as code
Deep understanding of algorithms, data structures, and statistical techniques used in machine learning
Prior experience in building AI/ML platforms or products from inception to production deployment
Experience building and managing large-scale distributed systems and microservices architecture

Benefits

Information not given or found

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found

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Company

Overview

Founded in 1982

Year of establishment

Marks the beginning of Autodesk's journey in pioneering design software solutions.

Pioneered software for 2D and 3D design, revolutionizing industries.
Known for products like AutoCAD, it reshaped architecture, engineering, and manufacturing workflows.
Empowering creators in fields from construction to digital media, enabling more innovative designs.
Develops tools used in iconic projects, from skyscrapers to blockbuster movies.
Pushes the boundaries of design technology, leading the way in artificial intelligence and automation.
Software is a cornerstone in diverse sectors, from industrial to infrastructure, energy, and entertainment.
Cloud-based solutions streamline design processes and foster real-time collaboration across industries.
A leader in 3D design software, with solutions powering projects in every corner of the globe.
Committed to shaping the future of digital design, bringing complex visions to life.

Culture + Values

Innovation: We believe in the power of creativity to push boundaries and change the world.
Collaboration: We work together to create solutions that make a difference.
Customer Success: We are focused on delivering products and services that help our customers succeed.
Sustainability: We are committed to making a positive impact on the planet and communities.
Integrity: We act with honesty and uphold the highest ethical standards.
Inclusion: We embrace diverse perspectives and strive for an environment where everyone belongs.

Environment + Sustainability

2023

Net-zero commitment

Aiming to achieve net-zero carbon status, a critical step in combating climate change.

35%

Carbon emissions reduction

Significant reduction in overall carbon footprint across all emission scopes since 2019.

Designing products that help users make more sustainable decisions, including tools for low-carbon building design.
Aims to advance climate resilience by providing tools to better predict and plan for climate risks.
Promotes circular design principles and helps customers optimize material use and reduce waste.

Inclusion & Diversity

30% Female Workforce

Gender Diversity

As of 2023, 30% of the global workforce identifies as female, highlighting progress in gender diversity across the organization.

25% Leadership Representation

Female Leadership

25% of leadership positions are held by women, indicating strides toward gender parity in executive roles.

2025 Diversity Goal

Leadership Commitment

A strategic initiative to boost representation of underrepresented groups in leadership positions by 2025.

12 Employee Groups

Employee Resource Networks

Twelve employee resource groups are supported, fostering inclusion and community for diverse populations including women, LGBTQ+, and veterans.

Leadership Commitment: Has set a goal to increase representation of underrepresented groups in leadership by 2025.
Inclusive Hiring: Implements inclusive recruitment practices and strives for diverse candidate slates for all roles.

Articles

Autodesk Careers

Autodesk Newsroom

Autodesk Products

Role

Description

talent acquisition

technical guidance

team leadership

code development

project management

ai/ml architecture

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
Foster a culture of innovation, collaboration, and continuous improvement within the engineering team
Provide sound technical guidance and drive crucial technology decisions
Lead and mentor a team of engineers in the development and deployment of AI/ML solutions
Actively participate in coding, review processes, and problem-solving alongside your team
Manage project timelines and resource allocation to deliver projects successfully
Ensure adherence to best practices in software development, code quality, and security standards
Collaborate with cross-functional teams including product management, data science, data and cloud infrastructure to define and execute the AI/ML platform roadmap
Stay updated with the latest advancements in AI/ML technologies
Drive the design and architecture of scalable, reliable, and efficient AI/ML systems

Requirements

sagemaker

mlops

leadership

python

aws

ci/cd

Experience building and deploying AI models, for rapid AI application development, using AWS SageMaker, Bedrock or Azure Machine Learning
Understanding of MLOps principles and practices for effectively managing and automating machine learning workflows, including model versioning, monitoring, and deployment
Ability to inspire, motivate, and guide team members towards achieving project goals
12+ years of experience of software engineering, with at least 3 years of experience in a management role
Strong leadership skills with a proven track record of building and motivating high-performing engineering teams
Strong proficiency in programming languages such as Python, Java
Experience building on cloud platforms such as AWS, Azure, or Google Cloud Platform
Excellent communication skills with the ability to collaborate effectively with technical and non-technical stakeholders
BS/MS in Computer Science, Engineering, or a related field with a focus on AI/ML. (MS preferred)
Knowledge of DevOps practices and tools for CI/CD, automation, and infrastructure as code
Deep understanding of algorithms, data structures, and statistical techniques used in machine learning
Prior experience in building AI/ML platforms or products from inception to production deployment
Experience building and managing large-scale distributed systems and microservices architecture

Benefits

Information not given or found

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found

People also searched

Company

Overview

Founded in 1982

Year of establishment

Marks the beginning of Autodesk's journey in pioneering design software solutions.

Pioneered software for 2D and 3D design, revolutionizing industries.
Known for products like AutoCAD, it reshaped architecture, engineering, and manufacturing workflows.
Empowering creators in fields from construction to digital media, enabling more innovative designs.
Develops tools used in iconic projects, from skyscrapers to blockbuster movies.
Pushes the boundaries of design technology, leading the way in artificial intelligence and automation.
Software is a cornerstone in diverse sectors, from industrial to infrastructure, energy, and entertainment.
Cloud-based solutions streamline design processes and foster real-time collaboration across industries.
A leader in 3D design software, with solutions powering projects in every corner of the globe.
Committed to shaping the future of digital design, bringing complex visions to life.

Culture + Values

Innovation: We believe in the power of creativity to push boundaries and change the world.
Collaboration: We work together to create solutions that make a difference.
Customer Success: We are focused on delivering products and services that help our customers succeed.
Sustainability: We are committed to making a positive impact on the planet and communities.
Integrity: We act with honesty and uphold the highest ethical standards.
Inclusion: We embrace diverse perspectives and strive for an environment where everyone belongs.

Environment + Sustainability

2023

Net-zero commitment

Aiming to achieve net-zero carbon status, a critical step in combating climate change.

35%

Carbon emissions reduction

Significant reduction in overall carbon footprint across all emission scopes since 2019.

Designing products that help users make more sustainable decisions, including tools for low-carbon building design.
Aims to advance climate resilience by providing tools to better predict and plan for climate risks.
Promotes circular design principles and helps customers optimize material use and reduce waste.

Inclusion & Diversity

30% Female Workforce

Gender Diversity

As of 2023, 30% of the global workforce identifies as female, highlighting progress in gender diversity across the organization.

25% Leadership Representation

Female Leadership

25% of leadership positions are held by women, indicating strides toward gender parity in executive roles.

2025 Diversity Goal

Leadership Commitment

A strategic initiative to boost representation of underrepresented groups in leadership positions by 2025.

12 Employee Groups

Employee Resource Networks

Twelve employee resource groups are supported, fostering inclusion and community for diverse populations including women, LGBTQ+, and veterans.

Leadership Commitment: Has set a goal to increase representation of underrepresented groups in leadership by 2025.
Inclusive Hiring: Implements inclusive recruitment practices and strives for diverse candidate slates for all roles.

Articles

Autodesk Careers

Autodesk Newsroom

Autodesk Products