Engineering & Development

Machine Learning Engineer

About the Role

As a Machine Learning Engineer, you will design, build, and deploy models that power core intelligence across the TurboVets platform. You will work on production grade systems that support automation, decision support, document intelligence, and operational workflows. You will collaborate closely with backend engineers, product teams, and domain experts to turn real world problems into reliable, scalable ML solutions that improve efficiency for veterinary practices nationwide.

RESPONSIBILITIES

Develop, train, and optimize machine learning and statistical models for production use
Build scalable data pipelines and model serving systems that support real time and batch workloads
Collaborate with engineering teams to integrate models into APIs, services, and workflows
Work with product and operations teams to understand user needs and translate them into ML solutions
Conduct experimentation, evaluation, and validation using structured and unstructured data
Improve performance, accuracy, and reliability of deployed models
Maintain clear documentation for datasets, features, pipelines, and model behavior

QUALIFICATIONS

3 plus years of experience building and deploying machine learning systems
Strong proficiency with Python and ML frameworks such as PyTorch or TensorFlow
Experience with feature engineering, model evaluation, and applied statistics
Familiarity with data pipelines, ETL tooling, or distributed data processing
Understanding of model deployment practices and MLOps workflows
Experience working with unstructured data such as text or documents
Bonus experience with LLMs, embedding models, or retrieval augmented systems
Bonus familiarity with AWS, containerization, or API development

WHO YOU ARE

A practical ML engineer focused on solving real operational problems
Comfortable working with ambiguity and translating requirements into reliable models
Collaborative, curious, and driven to improve accuracy, speed, and system performance

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Equal Opportunity Statement

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.