Machine Learning Engineer, BuildOps

Salary not provided

+ Stock options

React

AWS

TypeScript

JavaScript

Python

GraphQL

Node.js

Tensorflow

NumPy

Scikit-Learn

Apollo

PyTorch

Sagemaker

REST API

ChatGPT

Senior and Expert level

Toronto

More information about location

3 days a week in office

Management software for commercial speciality contractors

Open for applications

Management software for commercial speciality contractors

201-500 employees

B2BReal EstateSaaS

Open for applications

Salary not provided

+ Stock options

React

AWS

TypeScript

JavaScript

Python

GraphQL

Node.js

Tensorflow

NumPy

Scikit-Learn

Apollo

PyTorch

Sagemaker

REST API

ChatGPT

Senior and Expert level

Toronto

More information about location

3 days a week in office

201-500 employees

B2BReal EstateSaaS

Company mission

To bring a true all-in-one solution with the best technology to the people who keep America's hospitals, power plants, and commercial real estate running.

Job

Company

Role

Who you are

2+ years of experience in developing AI solutions preferably with LLMs
5+ years of experience in Full Stack software development
5+ years of experience in Python
3+ years of experience in Javascript/Typescript, Node.js
Familiar with MLOps/deployment best practices (Sagemaker experience is a plus)
Familiarity with vector databases and text embeddings
Proven ability to manage/deploy machine learning models
Experience with AI/ML frameworks such as TensorFlow, PyTorch, numpy or scikit-learn
Strong communication and technical writing skills
Familiarity with unit testing, debugging, profiling and performance monitoring in AWS environment
Prior experience with Node.js, building features using REST and/or GraphQL APIs using Apollo preferred
Prior knowledge or ability to quickly learn developing in a MLOps environment (MLflow or similar) preferred

What the job involves

As an AI/ML Engineer, your primary focus will be implementing and enhancing AI/ML features in our industry-leading platform
We’re looking for someone who is passionate about delivering practical, high-quality software and can collaborate effectively in a distributed team environment
Build and deploy machine learning models using Python (e.g., PyTorch) on platforms like AWS SageMaker
Develop backend and client-side code to integrate with cloud-based LLM APIs (e.g., Bedrock, ChatGPT APIs)
Manage monitoring (Wandb.ai, MLFlow, etc), deployment, and assist with hyperparameter tuning
Implement your own ML endpoints in our various React/NodeJS applications
Collaborate with data scientists and cross-functional teams to deliver impactful and practical AI solutions
Work in tandem with the quality engineering team to ship high-availability software
Build and maintain automated unit tests: unit, integration and UI
Participate in PR reviews and ensure proper implementation of ML tooling across our stack
Communicate effectively with engineers, product managers, customers, partners, and other leaders
Stay up-to-date on the latest AI technologies and trends to help other areas of the company find leverage in new advancements

Our take

BuildOps offers a tailored management software platform catering to the real estate sector, allowing its clientele to enhance cash flow and profit margins. Through its all-in-one invoicing and billing workflow, coupled with a robust financial reporting platform, BuildOps equips customers with the tools needed for streamlined operations.

The company's strategic focus on sub-contractors within the construction and real estate industry sets it apart in a market where many management platforms struggle to integrate diverse functionalities. Unlike its competitors, BuildOps has mastered the all-in-one approach, mitigating miscommunication and confusion often stemming from disparate silos of information.

In a landscape worth billions, BuildOps has swiftly carved out a niche, positioning itself for significant growth in the years to come. Recently; the company secured new funding, this fresh infusion underscores investors' confidence ain the company's vision and it potential to revolutionize management software for the modern commercial contractor.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

50% employee growth in 12 months

Glassdoor (3.85)

Company

Funding (last 2 of 4 rounds)

Mar 2025

$127m

SERIES C

May 2023

$50m

EARLY VC

Total funding: $225.8m

Company benefits

LA, Toronto, & WFH opportunities
Premium insurance coverage
Wellness perks
Competitive compensation
Flexible schedule & PTO policy
Professional development opportunities & events
Great people, great place to work

Company HQ

Santa Monica, CA

Leadership

Alok Chanani

(CEO)

Previously a Board Member at Wharton Angel Network, CEO at USA Commercial and Summer Associate at the Bernstein Companies.

Steve Chew

(Chief People Officer)

Currently Community Lead at StartX. Previously Co-Founder and CEO at Swerv and Vice President of Marketing at Fundly.

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