Tebra · 4 hours ago
Senior Machine Learning Engineer
Tebra is a company focused on enhancing healthcare by supporting independent practices. They are seeking a Senior Machine Learning Engineer to build, deploy, and optimize machine learning services for their platform, ensuring the reliability and scalability of AI solutions.
Electronic Health Record (EHR)Health CareMedical
Responsibilities
Write high-quality, production-grade software for data ingestion, feature extraction, and model inference, specifically focusing on optimizing code for latency, throughput, and resource efficiency
Implement robust CI/CD pipelines, automated testing, and comprehensive logging/monitoring for the models you deploy to ensure immediate detection of issues
Construct and maintain specific data pipelines required for training and inference, ensuring data quality and consistency at the component level
Develop reusable software modules and utilities that streamline the development process for the wider team, while championing clean code and test-driven development
Translate business requirements into technical specifications and execute them with precision, serving as an expert at breaking down complex tasks into deliverable units
Monitor the daily performance of production models, debug incidents, and execute routine retraining workflows to address data drift
Partner with Engineering team members and Product Managers to estimate effort, flag technical risks, and deliver features on schedule
Qualification
Required
5+ years of professional software development experience including system design, large-scale services, and production-grade infrastructure
3+ years of hands-on experience in machine learning engineering or applied AI, with a strong record of deploying and maintaining models in production
Technical subject matter expertise in 3+ general areas of software development (e.g., server, database, security, etc) including machine learning infrastructure
Demonstrated ability to deliver significant, measurable real-world impact through applied ML
Proven ability to design and write modular, performant, and easy to read software that solves complex business problems
Proficiency in Python, TensorFlow/PyTorch, and scikit-learn
Strong background in MLOps and data infrastructure (e.g., Airflow, Spark, feature stores, MLflow, data versioning)
Proven ability to deploy and maintain ML models in production with CI/CD, monitoring, and alerting
Familiarity with cloud ML environments (AWS, GCP, or Azure) and containerization (Kubernetes, Docker)
Excellent technical communication and a product mindset —comfortable driving initiatives from concept to delivery
Preferred
Experience building or fine-tuning Large Language Models (LLMs) or generative models for structured business processes
Experience with retrieval-augmented pipelines or feedback-driven model retraining
Background in healthcare software operations, or financial automation
Contributions to open-source ML infrastructure projects
Published research or conference papers in machine learning, natural language processing, or applied AI
Experience leading AI reliability and observability initiatives — designing monitoring frameworks, drift detection, and alerting systems for multiple production models
Benefits
Discount through Dell
Gympass for a great workout
Telus Employee Assistance Program to find mental health resources
Wellness and childcare subsidy
University/Education discount
Gympass for access to health and fitness apps
Telus Employee Assistance Program to find mental health resources
Company
Tebra
Tebra provide independent healthcare practices with digital tools and support to thrive in a new era of healthcare.
H1B Sponsorship
Tebra has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3)
2024 (1)
2023 (5)
2022 (3)
Funding
Current Stage
Late StageTotal Funding
$387MKey Investors
Hildred CapitalJP MorganGolub Capital
2025-12-17Private Equity· $250M
2025-12-17Debt Financing
2022-07-07Series B· $72M
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