ML Infrastructure Architect

Line manager

Abdallah Katra, Head of Data Infrastructure.

Why we are recommending

• Top 100 AI company in the world.
• Recent round of investment from SoftBank ($100 millions).
• Montreal office is the main Tech Hub of the company and will be growing rapidly.
• Mature ML/AI culture and product, already profitable.
• Technology-oriented culture.

Responsibilities

• Building the right AI/ML Infrastructure means making the right decisions that support the ongoing cutting edge research, development, testing and shipping of AI/ML models to production.
• Not just help build AI serving Infrastructure but take the domain to the next level.
• You will be touching tools like Airflow, MLflow, Docker while building a scalable serving infrastructure for machine learning models built with frameworks like pyTorch and TensorFlow, while pushing the limits of our infrastructure and of Artificial Intelligence.

Requirements

• Enterprise-level architect experience building, shipping large scale microservices infrastructure.
• Strong Python and enterprise Java programming experience.
• Experience in building, designing, and hacking high-load distributed data processing systems, preferably involving search, NLP, graphs or other related machine learning related domains.
• Experience building and scaling Python microservice based application, infrastructure using technologies like Docker, Redis, Kafka, RabbitMQ etc.
• Understanding of DevOps culture (CI/CD, Ansible, Jenkins).
• Familiar or willingness to learn more about Python machine learning ecosystem, numerical optimization libraries, like Numpy, Pandas, Dask, Cython, Numba, Pybind11, TensorFlow, Pytorch.

Company offers

• A truly global mission with a passionate community in locations all over the world.
• Huge impact and learning potential as our aspirations require bold innovation.
• Highly competitive compensation with 100% bonus pay already integrated.
• Benefits include fully covered health coverage for employee and family.
• Generous time-off policy and flexible work schedule.
• World class relocation assistance.

Hiring process

• Recruiter Screen — 45 minutes.
• Hiring Manager interview — 1 hour.
• Test Task.
• Task discussion with relevant tech questions — 40 minutes.
• Final technical interview — 2 hours.

Useful links

• Article about the company on Bloomberg: link.
• Behavox Wins 3 Prestigious Awards In February Alone: link.