Lead Machine Learning Engineer

🕒 March 28

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Datatonic

51 - 200 employees

Founded 2013

🤖 Artificial Intelligence

🛍️ eCommerce

📡 Telecommunications

💰 Pre Seed Round on 2013-01

Artificial Intelligence • eCommerce • Telecommunications

Datatonic is your go-to AI partner that addresses complex business challenges through advanced cloud data and AI consultancy. They offer a range of services including generative AI applications for various industries such as Retail, Telecommunications, Gaming, and Financial Services. With a focus on data-driven decision-making and analytics, Datatonic empowers businesses to optimize their operations and enhance customer engagement across multiple sectors.

📋 Description

• Act as the lead technical authority in high-stakes engagements • Partner with the commercial team to architect winning solutions • Lead the delivery of enterprise-grade systems such as GenAI agents, real-time recommendation engines, or predictive maintenance models • Own the complete technical lifecycle for projects, designing end-to-end ML architectures on GCP and implementing robust MLOps pipelines • Collaborate with the Head of Delivery to define the technical DNA of ML practice, evolving best practices • Spearhead the development of internal accelerators and reusable frameworks • Formally mentor and coach junior and mid-level engineers through code reviews and technical guidance

🎯 Requirements

• 7+ years of professional experience in machine learning and software engineering • At least 2 years in a formal or informal leadership capacity (e.g., tech lead, project lead, or senior mentor) • Proven ability to architect and deploy scalable, production-grade ML solutions on a major cloud platform (GCP is a significant asset) • Hands-on experience with Infrastructure-as-Code tools (e.g., Terraform) and designing for distributed computing • Deep, hands-on expertise in Python for backend ML systems • Mastery of software engineering best practices (e.g., clean architecture, robust testing, CI/CD) • Ability to design and build REST APIs (e.g., using Flask/FastAPI) • Proficient in SQL for complex data manipulation • Exceptional ability to communicate complex technical concepts to diverse audiences (C-level stakeholders to junior engineers)

🏖️ Benefits

• 20 days of paid vacation per calendar year • Public Holidays for your Province of Residence • 5 Wellness days (sickness, personal time, mental health) • 5 Lifestyle days (religious events, volunteer day, sick day) • Matching Group Retirement Savings Plan after 3 months • Competitive Group Insurance plan on Day 1 - individual premium paid 100%! • Virtual Medicine and Family Assistance Program - 100% employer-paid! • Home office budget - We are 100% remote! • CAD $70/month for internet/phone expenses • CAD $1,500 every 3 years for tech accessories and office equipment (monitor, keyboard, mouse, desk, etc.) starting on Day 1 • Company-supplied MacBook Pro or Air • CAD $400/year for books, relevant app subscriptions or an e-reader. • Opportunities for paid certifications • Opportunities for professional and personal learning through Udemy Business • Regular company off-sites and meetups

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