Technical Manager

Amii (Alberta Machine Intelligence Institute)

Edmonton

On-site

CAD 120,000 - 160,000

Full time

3 days ago
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Benefits offered by this job

Competitive compensation
Paid time off
Flexible health benefits
Modern Edmonton office

Job summary

Amii (Alberta Machine Intelligence Institute) seeks a Technical Manager to lead the Training Team, elevating ML education content through rigorous technical standards and expert people leadership. You will guide curriculum development, ensure accuracy, and scale the ML literacy initiative across industry and academia.

You’ll mentor a team of ML Educators, set quality benchmarks, and partner with cross-functional teams to deliver cutting-edge AI training programs that align with Amii’s mission of

Qualifications

  • Masters in Computer Science with ML specialization or related field.
  • 3+ years of experience leading people and teams.
  • 3+ years of applied AI experience (nice to have).
  • Proficient in Python, experience in Java or SQL.
  • Proficient with ML tools and frameworks: Scikit‑learn, PyTorch/TensorFlow, Pandas, Optuna, Wandb, lightgbm/XGBoost, SciPy.

Responsibilities

  • Establishes and leads an internal technical Community of Practice (CoP) for ML Educators to share knowledge.
  • Provides regular technical mentorship and coaching for ML Educators on advanced ML concepts and teaching methodologies.
  • Identifies and approves relevant technical training and conferences to keep skills cutting-edge.
  • Fosters collaboration and inclusive environment within ML Educator team.
  • Reviews and validates technical training requests; defines scope and timelines.
  • Assists in project assignment based on expertise and workload.
  • Oversees project progress against milestones and mitigates risks.
  • Manages the team’s technical environment and resources.
  • Facilitates communication and removes roadblocks for the team.

Skills

Team leadership
Technical coaching
Curriculum development
Effective communication

Education

Masters in Computer Science with ML specialization

Tools

Python
Java
SQL
Scikit-learn
PyTorch
TensorFlow
Pandas
Optuna
Wandb
LightGBM/XGBoost
SciPy

Job description

“If you have a track record of leading high-performing technical teams in a startup or tech environment, we’re looking for a leader who thrives on technical coaching, championing team growth, and building top-tier AI and ML learning content. Join us in shaping the next generation of technical AI training.”

  • Adam Danyleyko | Product Owner, Training
About Amii

Alberta Machine Intelligence Institute (Amii) is one of Canada’s three main institutes for artificial intelligence (AI) and machine learning, our world-renowned researchers drive fundamental and applied research at the University of Alberta (and other academic institutions), training some of the world’s top scientific talent. Our cross-functional teams work collaboratively with Alberta-based businesses and organizations to build AI capacity and translate scientific advancement into industry adoption and economic impact.

About The Role

The Technical Manager is a force multiplier for Amii’s mission, driving technical excellence and rigor within the Training Team. This role strategically leverages deep expertise in applied AI, technical quality assurance, and people leadership to build and empower a high-performing team of ML Educators. By rigorously validating content and standardizing technical best practices, the Technical Manager ensures that educational programs are cutting-edge, accurate, and impactful for learners across industry, post-secondary institutions, and the broader ecosystem. This work directly advances the AI literacy journey of our audience, enabling them to confidently and responsibly deploy ethical solutions aligned with the mission of ‘AI for good and for all.’ Reporting to the Product Owner, Training, the Technical Manager serves as a key subject‑matter leader within the Training Team, responsible for the technical and people‑management functions essential to Amii’s AI literacy mission. This role provides support through deep subject‑matter expertise, robust people management, and the oversight of technical resource allocation and project execution. The Technical Manager is ultimately accountable for ensuring the technical accuracy of all ML training content, accuracy of the portfolio assets remains current, high-quality, and is delivered effectively. This position is vital for scaling the technical capability of the ML Educator team and ensuring the reliability of Amii’s world-class training programs.

The position focuses on achieving excellence in three main accountabilities:

Required Skills / Expertise
Key Responsibilities
  • Establishes and leads an internal technical Community of Practice (CoP) for ML Educators to share knowledge, discuss complex technical challenges, and standardize best practices across all content
  • Provides regular, structured technical mentorship and coaching for the team of ML Educators, focusing on advanced ML concepts, instructional best practices, and technical teaching methodologies
  • Identifies, recommends, and approves relevant technical training, certifications, and conferences to proactively ensure the team’s skills drive cutting-edge thought and are aligned with Amii’s strategic focus
  • Fosters a collaborative and inclusive environment within the ML Educator team, promoting knowledge sharing, peer learning, and continuous technical skill development
  • Reviews and validates all incoming technical training requests to accurately define the necessary scope, technical resource requirements, and realistic delivery timelines in alignment with established best practices for content development
  • Determines and assigns ML Educators to projects based on their specific technical expertise, current workload, and professional development objectives
  • Oversees and tracks project progress against defined milestones for content development (e.g., curriculum design, code sample creation, slide finalization), proactively identifies and mitigates technical or timeline risks
  • Manages the team’s technical environment (e.g., cloud access, specialized software, ML tooling) to ensure educators have the necessary, reliable resources to develop and deliver content effectively
  • Enables efficient communication, removes roadblocks, and ensures the team is set up for success in delivering high-quality technical content
  • Provides supervision to junior team members by overseeing and refining their work, and managing approval processes
  • Mentors direct reports on career development and progression, drawing lessons for coaching opportunities
  • Fosters a collaborative work environment by facilitating teamwork and the exchange of ideas among team members
  • Encourages and maintains a problem‑solving approach to work while acting as a coach and collaborator
  • <
  • Identifies and addresses knowledge gaps, providing solutions or resources to bridge them
  • Functions as a point of escalation for addressing challenges and facilitating the resolution of problems
  • Establishes, documents, and enforces rigorous technical standards for content development, covering code quality, theoretical model explanations, and data usage best practices
  • Liaises with teams across Amii to ensure that AI Literacy materials reflect the most current, relevant, and validated ML and AI methodologies
  • Serves as the final technical review for all AI Literacy materials (e.g., advanced workshops, executive summaries, public talks) to ensure accuracy and integrity
  • Designs and implements quality assurance processes for integrating internal and external technical feedback, ensuring continuous improvement of the content catalogue
Qualifications
  • Masters in Computer Science with a specialization in Machine Learning or a related field
  • 3+ years of experience leading people and teams
  • 3+ years of applied AI experience (nice to have)
  • Proficient in Python, experience in other programming languages i.e. Java or SQL
  • Proficient with machine learning tools and frameworks such as Scikit‑learn, Pytorch/Tensorflow, Pandas, Optuna, Wandb, lightgbm/XGBoost, and SciPy
  • Ability to explain complex technical concepts clearly to non‑technical audiences
  • Thorough understanding of the strengths and weaknesses of a range of ML techniques across supervised learning, unsupervised learning, and reinforcement learning
  • Experience with developing and delivering curriculum; designing effective learning exercises, illustrations of technical concepts, training and evaluation tools (nice to have)
  • PMP or PMI‑ACP Certificate (nice to have)
Attributes and Expectations
  • Successfully manages multiple competing priorities in a fast‑paced environment
  • Works independently and makes informed decisions through a collaborative lens
  • Demonstrates strong interpersonal communication skills, both verbal and written
  • Establishes credibility while influencing team members to achieve common goals
  • Identifies the needs of stakeholders and creates/drives new solutions
  • Able to identify gaps in knowledge and triage their own learning appropriately
  • Leads with resilience, maintaining team performance through challenges and change
  • Exhibits confidence and sound judgment while collaborating with subject matter experts
What you’ll love about us
  • A professional yet casual work environment that encourages the growth and development of your skills.
  • Participate in professional development activities
  • Gain access to the Amii community and events
  • A chance to learn from amazing teammates who support one another to succeed.
  • Competitive compensation, including paid time off and flexible health benefits.
  • A modern office located in downtown Edmonton, Alberta.

Applicants must be legally eligible to work in Canada at the time of application.

Amii is an equal opportunity employer and values a diverse workforce. We encourage applications from all qualified individuals without regard to ethnicity, religion, gender identity, sexual orientation, age, or disability. Accommodations for disability-related needs throughout the recruitment and selection process are available upon request. Any information provided by you for accommodations will be kept confidential and won’t be used in the selection process.

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