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Senior AI Engineer

BuildOps

Old Toronto

Hybrid

CAD 80,000 - 120,000

Full time

30+ days ago

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Job summary

An innovative technology startup is seeking a driven individual to join their team and help shape the future of AI and machine learning solutions. In this exciting role, you will design and deploy cutting-edge machine learning models, collaborate with talented engineers, and contribute to a platform that is transforming the maintenance industry. With a focus on quality and scalability, you'll have the opportunity to mentor others while working in a dynamic, fast-paced environment. This is a unique chance to make a significant impact in a high-growth company committed to revolutionizing a traditional industry through technology.

Benefits

Competitive salary and stock options
Comprehensive benefits package
MacBook computer and accessories
Opportunities for growth and career advancement
Dynamic work environment
Cutting-edge technology
Significant impact on company growth

Qualifications

  • 5+ years of experience in Full Stack software development.
  • 2+ years of experience in developing AI solutions, preferably with LLMs.
  • Strong understanding of machine learning principles and algorithms.

Responsibilities

  • Design, develop, and deploy machine learning models using Python and JavaScript.
  • Collaborate with cross-functional teams to deliver impactful AI solutions.
  • Build and maintain automated unit tests for high-quality software.

Skills

Machine Learning
Python
JavaScript/TypeScript
Full Stack Development
AI/ML Frameworks (TensorFlow, PyTorch)
Data Analysis
Unit Testing
Technical Writing
AWS
MLOps

Education

B.S. in Computer Science
M.S. in Computer Science
PhD in Computer Science

Tools

Jupyter Notebooks
MLflow
Node.js

Job description

At BuildOps, we’re building a groundbreaking software solution, purpose-built to support today’s commercial contractors. From helping our customers manage their service department all the way to project management, we’re breaking the mold and building a team that invests in our mission statement. We love driven, self-motivated folks experienced in tech start-ups and thrive in fast-paced environments. Could you be our next hire?

This candidate will join a well-funded, fast-growing technology startup with the unique opportunity to help build out a critical function for the company.

As a member of the team, your primary focus will be to build and enhance AI and ML features in our industry-leading platform. We are looking for a motivated self-starter who can work in a distributed team environment. The day-to-day responsibilities are broad, and you will ultimately be responsible for building and shipping high-quality software that powers many businesses and shapes the maintenance industry.

What you will do:

  • Design, develop, and deploy machine learning models using Python and Javascript
  • Collect, clean, and analyze data to identify patterns and insights
  • Explore and implement new AI techniques and algorithms
  • Design and test experiments using Jupyter Notebooks
  • LLM tuning based on manual and automated feedback
  • Write quality scalable code with high test coverage and documentation.
  • Collaborate with cross-functional teams to deliver impactful AI solutions
  • Propose recommendations, build prototypes, and provide feedback.
  • Work in tandem with the QA engineering team to ship quality and high-precision software.
  • Build and maintain automated unit tests: unit, integration and UI
  • Co-own the short and long-term technical vision of your squad with your teammates.
  • Provide technical mentorship and guidance to engineers within your team and others.
  • Help improve the technical quality of our work through regular technical design, code reviews and automated testing.
  • Share your technical knowledge and expertise, promote using AI and ML methodology across the whole organization.
  • Communicate effectively with engineers, product managers, customers, partners, and other leaders.
  • Stay up-to-date on the latest AI technologies and trends

What We Look For:

  • 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
  • Proven ability to design, develop, and deploy machine learning models
  • Strong understanding of machine learning principles and algorithms
  • Experience with AI/ML frameworks such as TensorFlow, PyTorch, numpy or scikit-learn
  • Experience with multi-variable non-linear optimization problems preferred
  • You will be expected to shape and guide the AI/ML technology decisions of your squad, while contributing alongside them.
  • As an individual contributor, you are a role model to more junior engineers.
  • 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.
  • B.S., M.S. or PhD in computer science, engineering or related fields.
  • Ability to work hybrid schedule - Monday/Friday WFH, Tuesday - Thursday, in office.

What we offer:

  • Competitive salary and stock options
  • Comprehensive benefits package.
  • This is a hybrid work for our office in Toronto. (3 times per week in office)
  • MacBook computer and accessories.
  • Fast-paced, collaborative, and dynamic work environment.
  • Opportunities for growth and career advancement.
  • Chance to work with cutting-edge technology and innovative solutions.
  • Ability to make a significant impact on the growth and success of the company.

About BuildOps:

BuildOps is a fast-paced, high-growth start-up committed to transforming a $300B+ industry through an innovative all-in-one SaaS platform. Leveraging the latest technology, we’re taking Commercial Specialty Contractors from the world of pen and paper to cloud-based, data-driven operations.

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