AI Developer

2 months ago


SaintBrunodeMontarville, Quebec, Canada ISAAC Instruments Full time
Job Title: AI Developer

About ISAAC Instruments

ISAAC Instruments is a leading provider of fleet management solutions across Canada, with a growing presence in the United States. We are seeking a highly skilled AI Developer to join our Data & AI team and contribute to the development of our data platform.

Job Summary

The AI Developer will be responsible for packaging models, automating workflow, deploying AI models, and monitoring model performance. The ideal candidate will have a strong understanding of data science, data engineering concepts, application development, API design, cloud computing, and ML Ops.

Key Responsibilities
  1. Model Deployment

Build endpoints to serve ML models in production, ensuring seamless integration with our existing infrastructure.

ML Ops

Monitor inference performance, scalability, availability, model deployment, retraining pipelines, and other critical aspects of ML Ops.

Model Development

Have a clear understanding of how to convert a model into a user-friendly application, leveraging your expertise in data science and software development.

Infrastructure Management

Manage the data science infrastructure to streamline model development and deployment, ensuring efficient use of resources.

Architecture and Design

Architect, develop, optimize, and own the deployment of ML functionalities into production systems, ensuring scalability and reliability.

Real-Time Data Handling

Design and evaluate new approaches for handling high-volume real-time data streams in an inferencing environment, leveraging your expertise in cloud computing and data engineering.

Best Practices

Define best practices for code, APIs, and frameworks that will lay the foundation for MLOps capabilities, ensuring consistency and quality across the team.

Tool Selection

Propose appropriate tools (languages/libraries/frameworks) for implementing projects, considering factors such as scalability, reliability, and maintainability.

Model Testing and Deployment

Model testing, production, and deployment, as well as continuous integration and delivery, ensuring smooth operation of our ML models.

Team Collaboration

Work as part of a team, with frequent interactions with data scientists, data analysts, cloud solution architects, and other stakeholders, ensuring seamless communication and collaboration.

Requirements
  1. Education

Bachelor's degree in Computer Science, Data Science, Engineering, Operation Research, Statistics, or other related quantitative fields.

Experience

1-2 years of experience developing customer-facing, production-grade machine learning solutions, with a strong focus on software engineering and data science.

Skills

Hands-on experience with large-scale systems in software engineering, productionizing code through DevOps pipeline (git, Jenkins pipeline, code scan), and familiarity with big data processing and building data APIs.

Cloud Experience

Experience working with cloud native architecture (PaaS) using Azure stack preferably, and experience with Azure ML, DataBricks (Spark), Azure Data Factory will be an asset.

Analytics and Machine Learning

Expertise delivering analytics & machine learning products, with a deep understanding of agile product delivery in an enterprise environment.

What We Offer

Collaborators are at the center of ISAAC's interests and values. We offer:

  1. Varied Career Opportunities

Opportunities for growth and development in a dynamic and innovative environment.

Stimulating Work Environment

A work environment focused on innovation, with enthusiastic and collaborative teams.

Competitive Salaries and Benefits

Competitive salaries and benefits promoting work-life balance, including a complete group insurance plan, group RRSP, an EAP, flexible hours, 4 weeks of vacation, and more.

Various Social Activities

Various social activities and free snacks and coffee every day, fostering a positive and inclusive work environment.


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