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.