Description:

Procurify is seeking a talented and team-driven Senior Machine Learning Engineer to join their AI-enhanced procurement and AP automation platform for the mid-market.
The role involves designing, creating, evolving, and maintaining scalable and efficient machine learning systems, including data pipelines, model training, deployment, and monitoring frameworks.
Responsibilities include building complex, reusable architectures for services and systems, developing systems for personalized user experiences, and optimizing machine learning models to enhance operational efficiency.
The engineer will integrate Large Language Models (LLMs) to develop advanced NLP features and collaborate with Product and Engineering teams to create AI and Machine Learning capabilities.
The position requires mentoring other engineers and driving internal process improvements, including automation for data quality control and validation.
The ideal candidate should be engaged, curious, and passionate about technology, with a willingness to challenge the status quo.

Requirements:

Candidates must have 5-7+ years of experience in a Machine Learning role, including at least 1 year of experience with LLMs.
Proven experience as the first ML engineer or in a similar role is required, demonstrating the ability to build ML systems from the ground up.
Proficiency in machine learning frameworks and libraries such as Tensorflow, PyTorch, and scikit-learn is essential, along with expertise in data processing and analysis tools like SQL and Pandas.
Experience with LLMs such as GPT, Claude, and Llama, as well as a strong understanding of LLM architectures, is necessary.
Candidates should have experience with ETL/ELT tools, Data Lakehouse technologies, and advanced SQL knowledge.
Strong programming skills in Python and familiarity with additional languages and tools commonly used in ML engineering are required.
A solid understanding of Data Science concepts and the ability to support team members in using data for insights is essential.
Candidates should be comfortable leading by example, demonstrating initiative, and thriving with autonomy while collaborating across teams.
Familiarity with DevOps and MLOps principles, as well as leading software development best practices such as scrum/kanban, CI/CD, and test automation, is important.

Procurify offers a remote-first work environment with flexible working hours, allowing employees to work from anywhere within Canada.
The company implements a four-day workweek to help employees restore balance between work and life.
Team members benefit from an unlimited responsible time off policy, promoting a healthy work-life balance.
Extended health benefits include a competitive health, vision, and dental package, an Employee Assistance Program (EAP), and a health and wellness spending account.
The company is committed to community initiatives, including regular volunteer days and educational programs.
Employees have the opportunity to participate in a competitive stock options program.
Procurify actively promotes diversity, equity, and inclusion through initiatives such as roundtable discussions and guest speaker events.
The base salary range for this position is $136,000 - $170,000, depending on experience, excluding bonuses, commissions, benefits, or equity.