Expert Level Machine Learning Lead
beBeeMachineLearningResume Keywords to Include
Make sure these keywords appear in your resume to improve ATS scoring
Sign up free to auto-tailor your resume with all these keywords and get a higher ATS score
Job Description
About the Role
As a Senior Python/PyTorch ML Engineer, you will be responsible for leading the development of production AI/ML models and architecting MLOps/AIOps standardization across 100+ use cases. This strategic role requires establishing QA frameworks for ML systems, driving the Python/PyTorch standardization initiative across disparate use cases, and ensuring production-ready model deployment for critical systems including chatbots, AML detection, predictive models (PRISM platform), and pricing optimization while maintaining quality, accuracy, and risk mitigation in a regulated environment.
We are looking for an expert-level PyTorch engineer to lead our team in developing complex PyTorch implementations for LLMs, deep learning models, and advanced AI solutions.
Key Responsibilities: Lead development of production PyTorch models Achieve MLOps/AIOps standardization consistency Create enterprise ETL pipelines using Spark/Databricks/cloud-native services
This is not an exhaustive list as this position includes other responsibilities that require strong technical leadership skills. ,
Senior Position with multiple teams available
Cross-functional collaboration with DevOps Engineers on CI/CD Pipelines
< li > Strong focus on data privacy management considering industry standards like GDPR / CCPA < br />< p class=
Want AI-powered job matching?
Upload your resume and get every job scored, your resume tailored, and hiring manager emails found - automatically.
Get Started Free