Careers
Senior Machine Learning Engineer
Location :
Montreal, Canada
About Airudi
At Airudi, we bring together innovative minds, creative spirits, and technology enthusiasts. Together, we are reinventing the world of work by putting AI at the service of organizations and their people.
We create cutting-edge technological tools that simplify our clients’ daily operations, making them more streamlined, efficient, and human-centered. We believe that AI is a powerful tool to help businesses and individuals reach their full potential, and it is this principle that guides us every day.
About the role
As a Senior ML Engineer at Airudi, you will play a critical role in designing, developing, and deploying MLOps systems to support the productization of innovative, human-centric AI solutions. You will lead the implementation of new technologies, contribute to defining roadmaps that expand the team’s impact, and guide the establishment of engineering best practices.
At Airudi, we thrive on bold ideas and teamwork. Your expertise will help drive collaboration with a multidisciplinary team comprising data scientists, software engineers, product managers, and research partners backed by a leadership team committed to your growth and success.
Your responsibilities
- Engage in the design and evaluation of MLOps systems
- Create/maintain CI/CD pipelines for machine learning systems productization and automated tests suites for machine learning systems, including data processing workflows
- Assume a leadership role in the implementation of new technologies and the definition of a roadmap to expand the team’s business impact
- Participate in code reviews for machine learning modules to guarantee their quality and efficiency
- Serve as a technical role model for more junior members of the team and mentor junior team members and establish machine learning engineering best practices
- Collaborate with data scientists, software engineering peers, product management and research partners to understand company needs and devise possible solutions
- Keep up to date with latest technology trends to provide forward-thinking recommendations to the business
Your qualifications
- 5+ years of work experience in ML engineering
- Proficiency in French and English (that’ll allow you to interact with all of our North American, European, and African clients)
- Proficiency in Python and experience with popular data science and machine learning libraries such as Scikit-Learn, TensorFlow, PyTorch, XGBoost, Pandas, FastAPI, etc.
- Experience with modern data platforms and tools such as Spark, Databricks, MLflow, Prefect, and Airflow, etc. and working with databases (SQL and NoSQL)
- Experience with cloud infrastructure systems such as Azure, GCP, AWS, etc. and scalable ML model deployment using Docker and Kubernetes.
- Experience with version control systems (preferably Git).
- Functional in a remote work environment.
- Strong communication skills and the ability to work effectively in a team environment.
- Quick learner, critical thinker, self-motivated.
Technical environment
- Python with FastAPI (backend, tooling, ML engineering)
- JavaScript with vue.js, tailwind css (front-end)
- C# with .NET for backend development
- Microservices, CI/CD, DevOps processes and tools
- Terraform (Infrastructure as code)
- Git SCM
- Cosmos DB, SQL DB
- Microsoft Azure (i.e. Devops, Cognitive Search, LUIS, Bot Framework, App service, ML studio)
- JIRA
What you can expect from us
We believe that our commitment to empowering our clients and their teams to reach their full potential is inseparable from our dedication to the growth and well-being of our own employees.
We are committed to providing a workplace where people can thrive, enjoy being part of the team, and innovate. Examples?
- Salary: Hold tight, we’ll discuss that during our first call
- Flex Friday: our 4-day work week’s pilot project
- Vacation: 3 weeks from day one, plus an extra week after two years. Add the days off between Christmas and New Year’s, and you’re set!
- Personal leave bank and extra day off on your birthday
- Comprehensive benefits package: health, vision, numerous professional services (psychologist, massage, physiotherapy, etc.), employee assistance program, and telemedicine
- Partial reimbursement of your home internet bill
- Home office ergonomics budget
- Focus on your professional and personal development: access to training and professional certifications, coaching, and continuous learning through Coursera
- Stimulating environment: when you meet our team (or explore our website!), you’ll see that we focus on the top leaders and talents in the industry. The good news: they all ensure a culture that is innovative, creative, where every voice counts, and every contribution is valued and recognized
- Remote work: our hybrid work policy allows you to choose between the social life of the office or the calm of home, and remote work from abroad allowed for up to two months per year under certain security conditions
- Social life: relaxed and inclusive atmosphere, team-oriented activities, lunch and learn sessions, development groups, and festive gatherings… so many good reasons to get together, and not just for meetings
Send us your application now and come meet us – judge the Airudi experience for yourself!
