Full-Time

Applied ML Engineer

Ingénieur, E, En ML appliquée

Confirmed live in the last 24 hours

MaintainX

MaintainX

501-1,000 employees

SaaS platform for maintenance management

Industrial & Manufacturing
Enterprise Software
AI & Machine Learning

Mid

Montreal, QC, Canada

Category
Applied Machine Learning
AI & Machine Learning
Required Skills
Python
Tensorflow
Data Structures & Algorithms
Product Management
Pytorch
Requirements
  • Solid understanding of machine learning and deep learning (including LLMs).
  • 3+ years of proven programming skills using standard ML tools such as Python, PyTorch, Tensorflow, HuggingFace, etc.
  • Hands-on experience working (training, fine-tuning, optimizing, deploying) with large language models.
  • Hands-on experience applying common machine learning optimization techniques, like quantization and distillation, to reduce resource consumption and/or eliminate latency.
  • Master's/ PhD in Computer Science, Machine Learning, Data Science, or a related field.
Responsibilities
  • Perform exploratory data analysis (EDA) and experiment with various model architectures to uncover insights and inform model development.
  • Design, develop, and deploy machine learning models to solve complex business problems in production environments.
  • Implement and optimize algorithms for performance and scalability, ensuring efficient end-to-end solutions, including backend services and data pipelines.
  • Ensure seamless integration of AI models with web applications and other front-end components.
  • Collaborate with product managers, engineers, and other stakeholders to define product requirements and specifications.
  • Collaborate in the deployment of AI/ML products to production, ensuring robustness, scalability, and reliability, and continuously monitor and maintain deployed models, addressing any issues and improving performance.
  • On-call duties

MaintainX provides a digital platform designed for maintenance and operations management, primarily targeting industrial clients in sectors like manufacturing and food and beverage. The platform operates as a software-as-a-service (SaaS) solution, enabling businesses to track both reactive maintenance, which addresses issues as they arise, and preventive maintenance, which involves regular checks to avoid problems. MaintainX enhances operational efficiency by utilizing artificial intelligence for tasks such as real-time inventory management and asset management. Unlike many competitors, MaintainX offers an open API for easy integration with existing systems and provides educational resources through its Academy to help clients maximize the platform's benefits. The company's goal is to drive digital transformation in maintenance and operations, improving productivity and reducing manual work for its users.

Company Stage

Series C

Total Funding

$90.3M

Headquarters

San Francisco, California

Founded

2018

Growth & Insights
Headcount

6 month growth

20%

1 year growth

91%

2 year growth

231%
Simplify Jobs

Simplify's Take

What believers are saying

  • The recent $50M Series C funding led by Bain Capital Ventures positions MaintainX for significant growth and innovation.
  • MaintainX's platform empowers frontline professionals with consumer-grade tools, enhancing productivity and reducing downtime.
  • The educational component through MaintainX Academy adds value for clients and creates an additional revenue stream.

What critics are saying

  • The competitive landscape of enterprise software solutions could make it challenging for MaintainX to maintain its market share.
  • Reliance on subscription-based revenue means that customer retention is crucial for financial stability.

What makes MaintainX unique

  • MaintainX's focus on both reactive and preventive maintenance sets it apart from competitors who may specialize in only one area.
  • The integration of AI to enhance maintenance and operational efficiency provides a technological edge over traditional maintenance management systems.
  • MaintainX's open API allows seamless integration with existing systems, offering flexibility that many competitors lack.

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