Practice Lead - AI / ML Engineer

Infoya; Toronto; On-site; CAD 120,000 - 160,000; Full time

Job summary

A global IT consulting company is looking for a highly skilled Practice Lead – AI / ML Engineer to spearhead AI initiatives. This role involves delivering innovative AI solutions, mentoring teams, and engaging with clients to understand their challenges. Ideal candidates have extensive experience in AI/ML engineering and strong consulting skills. This position offers competitive compensation and the chance to work on cutting-edge projects.

Benefits

Competitive compensation

Growth opportunities in technical and leadership tracks

Culture of innovation and collaboration

Qualifications

• 10+ years in AI / ML engineering, including 3–4 years in a leadership role.
• Expertise in programming languages including Python, R, Java.
• Hands-on experience in deploying ML models in cloud environments.
• Strong project delivery in domains like NLP and generative AI.

Responsibilities

• Lead design and deployment of AI / ML solutions.
• Mentor engineering teams and ensure technical excellence.
• Identify new AI / ML opportunities with clients.
• Act as a trusted advisor on AI / ML trends.

Skills

AI / ML engineering experience

Programming Languages: Python

Client-facing skills

Project delivery in applied AI

Tools

Cloud environments (GCP, AWS, Azure)

Job description

Overview

Infoya is a global IT consulting and services organization. We collaborate with visionary leaders to achieve outsized business impact by providing innovative solutions and exploring cutting-edge technologies. We work hand-in-hand with our clients to facilitate transformative change, guiding them through strategic shifts in technology, processes, and culture. Our goal is to solve the problems that our clients face, leveraging our expertise and experience to deliver practical, effective solutions that drive tangible results.

Job Description

We are seeking a highly skilled and client-facing Practice Lead – AI / ML Engineer to spearhead our AI / ML initiatives. This role will focus on delivery of cutting-edge AI / ML solutions along with technical leadership (80%) and supporting business development (20%) through client engagement, understanding their business challenges, and translating them into impactful AI solutions.

The ideal candidate will combine deep technical expertise with strong consulting, communication, and leadership skills to drive impactful AI / ML solutions for clients while supporting business growth.

Key Responsibilities

Delivery & Technical Leadership (80%)

• Lead design, development, and deployment of AI / ML, Deep Learning, and Data Science solutions for client projects.
• Architect scalable, production-ready ML systems, pipelines, and APIs.
• Mentor and guide engineering teams, ensuring technical excellence and adoption of best practices.
• Stay updated on the latest advancements in AI / ML, deep learning, and related technologies, incorporating them into solutions.
• Drive end-to-end delivery from problem definition, data exploration, model development, validation, deployment, and monitoring.
• Collaborate with cross-functional teams including data engineers, software engineers, and product managers.
• Ensure project delivery is on time, within budget, and aligned with client expectations.

Business Development & Client Engagement (20%)

• Partner with business teams to identify new opportunities for AI / ML engagements with clients.
• Participate in client presentations, pre-sales discussions, and proposal development.
• Understand client pain points, translate business needs into AI / ML solutions, and create value-driven roadmaps.
• Act as a thought leader and trusted advisor for clients on AI / ML trends, strategy, and adoption.

Requirements

Required Skills & Experience

• Proven experience (10+ years) in AI / ML engineering, with at least 3–4 years in a leadership / principal role.
• Strong expertise in :
• Programming Languages : Python, R, Java, Scala, C++ (Python preferred).
• Hands-on experience deploying ML models in cloud environments (GCP, AWS, Azure).
• Proven expertise in forecasting and time-series modeling , with hands-on experience building and deploying solutions for demand planning, anomaly detection, and predictive analytics.
• Experience in designing and integrating Retrieval-Augmented Generation (RAG) pipelines for enterprise-scale AI solutions, leveraging LLMs and vector databases.
• Excellent client-facing skills : able to explain technical solutions in business terms and influence C-level stakeholders.
• Strong track record of project delivery in applied AI domains such as NLP, computer vision, recommendation systems, predictive analytics, or generative AI.
• Ability to balance hands-on coding with strategic leadership and mentoring.

Desired Attributes

• Entrepreneurial mindset with the ability to identify and shape new opportunities.
• Exceptional communication and presentation skills for diverse audiences (technical & non-technical).
• Passion for continuous learning and staying ahead of AI / ML innovation.
• Ability to work in a fast-paced, collaborative environment with global teams.

What We Offer

• Opportunity to lead cutting-edge AI / ML projects with high-impact outcomes.
• Client-facing exposure across industries
• A culture of innovation, collaboration, and continuous learning.
• Competitive compensation and growth opportunities in both technical and leadership tracks.