MLOps Engineer, Loopio
AI-powered proposal request responses
Be an early applicant
AI-powered proposal request responses
201-500 employees
Be an early applicant
201-500 employees
Company mission
To help ambitious companies and people grow.
Role
Who you are
- MLOps Experience: 2+ years of experience working in ML operations, ML engineering, or related infrastructure roles. Familiarity with deploying ML models and automating ML pipelines
- Cloud & Infrastructure Skills: Comfort working with AWS (or similar cloud environments), Docker, and Kubernetes. Experience with workflow orchestration tools like Airflow, Dagster, or Kubeflow is a plus
- Software Engineering Foundation: Strong Python development skills, with a solid understanding of software engineering practices (testing, logging, version control, code review)
- Model Deployment & Monitoring Tools: Experience with tools such as MLflow, SageMaker, TensorFlow Serving, or TorchServe. Bonus: hands-on experience implementing model monitoring or drift detection systems
- Team Collaboration: Comfortable working cross-functionally with technical and non-technical stakeholders. Curious, communicative, and open to feedback. Willing to learn from others and share what you know
- Growth Mindset: You’re excited about learning the ins and outs of ML systems in production. You bring energy, ownership, and a desire to build things that are both elegant and effective
What the job involves
- We’re looking for a skilled and motivated MLOps Engineer to help scale and productionize the machine learning systems that power Loopio’s intelligent product features
- In this role, you’ll work closely with ML Engineers, Data Scientists, and Backend Engineers to build the pipelines, infrastructure, and tooling needed to deliver high-impact ML models to our users; reliably, efficiently, and at scale
- You’ll be a critical part of enabling our AI/ML roadmap, from intelligent search and content suggestions to document automation and agent copilots, by ensuring models can be deployed, monitored, and continuously improved in production environments
- This is a great opportunity to grow your expertise in applied MLOps, contribute to high-leverage systems, and be part of a fast-moving, collaborative team working at the intersection of ML, engineering, and product
- Pipeline & Workflow Development: Build and maintain robust ML pipelines for training, evaluation, and deployment. Automate routine workflows and support reproducible, auditable experimentation
- Model Deployment & Inference: Package and deploy models into production environments using tools like Docker, Kubernetes, and SageMaker. Build REST/gRPC services to serve models in real-time or batch
- Monitoring & Reliability: Help implement systems to monitor model health in production, detect drift, and log predictions. Contribute to alerting and dashboarding that helps the team maintain trust in deployed models
- CI/CD for ML: Work within our CI/CD systems to support model validation, promotion, and rollback. Help build safe, automated workflows for taking models from development to deployment
- Collaboration & Support: Partner with ML Engineers and Data Scientists to bring ML systems into production. Contribute to shared libraries, improve developer experience, and help debug operational issues
- Partner with Infra and DevOps teams to understand their tooling deeply in order to help implement ML systems and related cloud architecture
Our take
Loopio provides RFP response software to companies in a variety of industries including healthcare, financial services and telecommunications. Its platform streamlines responses to proposal requests, requests for information and due diligence questionnaires, helping firms to improve sales efficiency and unlock growth opportunities.
The company boasts an impressive client list including DocuSign, PayPal and American Express. Loopio expects its client base to continue growing, bolstered by a 2023 independent study that shows that clients of the company can experience a three-year return on investment alongside almost $6 million in business benefits.
Loopio has used funding to accelerate product development and customer acquisition, as well as expand its team. It has also partnered with Door, a digital due diligence platform for asset management and research teams. This partnership exemplifies a mature caution in Loopio's expansion aims, helping them to keep in control of their growing business.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
9% employee growth in 12 months
Company
Funding (2 rounds)
Apr 2021
$200m
GROWTH EQUITY VC
Feb 2018
$8.7m
SERIES A
Total funding: $208.7m
Company benefits
- Robust Health Benefits
- Extended Parental Leave
- Employee Stock Options
- Professional Mastery Budget
- Weekly Loopio Socials
- Annual Company Retreat
- Generous Paid Time Off Program
- Team Wellness Activities
Company HQ
Chinatown, Toronto, ON
Leadership
Zak Hemraj
(Co-Founder & CEO)Progressed from Software Developer to Manager and Team Lead at Achievers within 8 years.
Matt York
(Co-Founder & CTO)Experience as Software Engineering Manager at Achievers, and Vice President of Engineering at Top Hat.
Salary benchmarks
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