ChatGPT Jobs · 15 hours ago
Machine Learning Engineer (MLE)
Triumph Intelligence is seeking an experienced Machine Learning Engineer to join their growing team. In this role, you will develop and optimize ML models to address business challenges in freight, ensuring efficiency and accuracy in deployed models while automating ML pipelines.
Computer Software
Responsibilities
Scale and optimize the performance of existing models (RPS, memory consumption) for strict latency requirements and high precision
Strong communication skills with the ability to explain the 'why' behind technical decisions to diverse audiences
End-to-end ML development and deployment experience
Experience developing and deploying production-grade ML solutions using Docker, Kubernetes, AWS S3, and thorough unit testing
Ability to work core hours on Eastern Standard Time (EST) to facilitate a 3–4 hour daily overlap with our EU-based engineering team
Experience leading an engineering team or running consulting practice
Experience optimizing and monitoring model behavior using sophisticated hyperparameter tuning methods and specialized anomaly detection techniques
Familiarity with AWS as a primary cloud platform for deploying and scaling ML workloads
Qualification
Required
4+ years of software engineering experience
Deep knowledge of core tools including Python, SQL
Strong visualization and storytelling skills such as Matplotlib and Seaborn
End-to-end ML development and deployment experience
Familiarity with ML algorithms and methodologies such as neural networks, time series, gradient boosting, and random forest
Experience developing and deploying production-grade ML solutions using Docker, Kubernetes, AWS S3, and thorough unit testing
Ability to work core hours on Eastern Standard Time (EST) to facilitate a 3–4 hour daily overlap with our EU-based engineering team
Experience optimizing and monitoring model behavior using sophisticated hyperparameter tuning methods and specialized anomaly detection techniques
Familiarity with AWS as a primary cloud platform for deploying and scaling ML workloads
Preferred
Experience leading an engineering team or running consulting practice
Company
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Funding
Current Stage
Early StageCompany data provided by crunchbase