Senior Machine Learning Engineer

October 29

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Procurify

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Procurement Process Management • Purchase Order Approval Workflow • Streamlined Purchasing Processes • Requester & Approver Management • Procure to Pay Cycle

51 - 200

Description

• Procurify is the AI-enhanced procurement and AP automation platform for the mid-market. We make it easy for organizations to take control of spend and save money. • We’re looking for a talented and team-driven Senior Machine Learning Engineer to join us on our journey. • Seeking entrepreneurial people who are willing to challenge the status quo and contribute to larger strategic objectives. • Design, create, evolve, and maintain scalable and efficient machine learning systems including, data pipelines, model training, deployment, and monitoring frameworks. • Create and optimize machine learning models to automate and streamline user workflows, enhancing operational efficiency and user experience. • Identify, design, and implement internal process improvements, including automation for data quality control and data validation, improved data delivery, and scalability. • Mentor other engineers, imparting best practices and institutionalizing efficient processes to foster growth and innovation within the team.

Requirements

• 5-7+ years in a Machine Learning role, including 1+ years experience in LLMs. • Proven experience as the first ML engineer or a similar role, demonstrating a strong ability to build ML systems from the ground up. • Proficiency in machine learning frameworks and libraries (e.g. Tensorflow, PyTorch, scikit-learn), as well as expertise in data processing and analysis (e.g., SQL, Pandas) • Experience in building with LLMs such as GPT, Claude, Llama etc and strong understanding of LLM architectures. • Experience with ETL/ELT tools, Data Lakehouse tech (Databricks, Python, Apache Spark, Hive, Parquet) and advanced SQL knowledge. • Strong programming skills in Python and familiarity with additional languages and tools commonly used in ML engineering. • Strong understanding of Data Science concepts, able to partner with and support team members who need to use data to predict trends, glean insights on business drivers, and answer questions that are relevant to the organization. • Comfortable leading by example and using influence to drive collaboration, documentation, and knowledge sharing across teams and with a broad range of stakeholders. • Able to demonstrate initiative, work independently, and thrive with autonomy while collaborating across teams in a culture of priority setting and moving forward with urgency in alignment with our organizational strategy • Adept at focusing on multiple competing priorities, solving unique and complex technical problems, and persistently resolving blockers to progress • Familiar with DevOps and MLOps principles such as design for manageability and root cause analysis • Familiar working within leading software development best practices such as scrum/kanban, CI/CD, and test automation

Benefits

• Flexible working: We’re a remote-first organization with flexible working hours. Work anywhere from within Canada! • Four-day workweek: Burnout is real. To help you restore balance between work and life, all Procurify team members work four days a week. • Unlimited responsible time off: Work hard, play harder. All team members can take advantage of our unlimited responsible time off policy. • Extended health benefits: We prioritize our team’s health and well-being. We offer a competitive health, vision, and dental package along with an Employee Assistance Program (EAP), and a health and wellness spending account. • Community initiatives: We have a strong commitment to giving back to our communities, including regular volunteer days, our Donate Your Day program, and education lunch and learns. • Stock options: Everyone has a chance to own a part of Procurify with our competitive stock program. • DEI initiatives: We regularly run a diversity, equity, and inclusion roundtable where we host guest speakers and tackle the topics that matter.