Machine Learning Systems Architect
2 weeks ago
We are seeking an accomplished Senior Machine Learning Engineer with expertise in deploying machine learning and artificial intelligence models into production. The ideal candidate will design robust algorithms addressing key business problems, particularly in visibility, prediction, demand forecasting, and freight audit.
Key Responsibilities:
- Develop and deploy machine learning models from initial research to production ensuring scalability and performance in live environments.
- Own the end-to-end ML pipeline including data processing model development testing deployment and continuous optimization.
- Design and implement machine learning algorithms that address key business problems.
- Ensure reliable and scalable ML infrastructure automating deployment and monitoring processes using MLOps best practices.
- Perform feature engineering model tuning and validation to ensure that models are production-ready and optimized for performance.
Requirements:
- Bachelor's Master's or PhD in Computer Science Engineering or a related field.
- 5+ years of experience in building deploying and scaling machine learning models in production environments.
- Experience deploying Generative AI models in production environments.
- Proven experience with the full product lifecycle taking models from R&D to deployment in fast-paced environments.
- Strong expertise in Python and SQL along with experience in cloud platforms and containerization.
The ideal candidate is a self-starter with excellent communication skills first-principles thinking and a customer-obsessed mindset.
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