MLOps Engineer
Trunk Tools140,000 - 200,000 USD/year
- Full Time
- Junior (1 to 2 years)
$110,000 – $150,000Compensation
Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, AI & Machine LearningIndustries
Requirements
Candidates should have 2+ years of experience working in ML operations, ML engineering, or related infrastructure roles, familiarity with deploying ML models and automating ML pipelines, a strong Python development skillset, and a solid understanding of software engineering practices. Experience with cloud environments like AWS, Docker, and Kubernetes is required, as well as knowledge of workflow orchestration tools such as Airflow, Dagster, or Kubeflow, and experience with model deployment and monitoring tools like MLflow, SageMaker, TensorFlow Serving, or TorchServe.
Responsibilities
The MLOps Engineer will build and maintain robust ML pipelines for training, evaluation, and deployment, automate routine workflows, package and deploy models into production environments using tools like Docker and Kubernetes, build REST/gRPC services to serve models in real-time or batch, implement systems to monitor model health in production, detect drift, and log predictions, work within CI/CD systems to support model validation and promotion, partner with ML Engineers and Data Scientists to bring ML systems into production, contribute to shared libraries and improve developer experience, debug operational issues, and partner with Infra and DevOps teams to understand their tooling and implement ML systems and related cloud architecture.
Skills
Python
AWS
Docker
Kubernetes
Airflow
Dagster
Kubeflow
MLflow
SageMaker
TensorFlow Serving
TorchServe
REST APIs
gRPC
Model Monitoring
Model Drift Detection
CI/CD
Software Engineering
DevOps
Loopio
RFP response software for enterprises
About Loopio
Loopio specializes in simplifying the process of responding to Requests for Proposals (RFPs), Requests for Information (RFIs), Due Diligence Questionnaires (DDQs), and Security Questionnaires. Its main product is RFP response software that helps businesses manage and automate the intricate task of creating high-quality responses. The software features a smart content management system that organizes a company's knowledge base, making it easy for teams to collaborate, assign tasks, and review projects efficiently. Loopio operates on a subscription-based model, allowing clients to access its software and tools for a recurring fee. This model helps clients save time and improve the quality of their responses, enabling them to win more business. Loopio stands out from competitors by focusing on enhancing collaboration and efficiency for medium to large enterprises across various industries, including technology, healthcare, and finance.
Key Metrics
Toronto, CanadaHeadquarters
2014Year Founded
$203MTotal Funding
GROWTH_EQUITY_VCCompany Stage
Data & Analytics, Consulting, Enterprise SoftwareIndustries
201-500Employees