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413 is seeking a Senior Machine Learning Engineer to develop and deploy advanced ML solutions while shaping MLOps practices. The ideal candidate will have extensive experience in building and scaling ML models, particularly using AWS, and will thrive in a collaborative, autonomous environment.
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Job Summary
You will develop and deploy advanced ML solutions to optimize how respondents are matched to surveys while ensuring high data quality.
This role demands autonomy to shape MLOps practices, including pipelines, deployment, monitoring, and scaling on AWS infrastructure.
Join a small, tight-knit team where you will mentor others and have direct impact on serving millions of survey respondents.
Matching Summary
Match Score: 75
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413 is seeking a Senior Machine Learning Engineer to develop and deploy advanced ML solutions while shaping MLOps practices. The ideal candidate will have extensive experience in building and scaling ML models, particularly using AWS, and will thrive in a collaborative, autonomous environment.
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Skills & Requirements
Must-have
5+ years production ML experience
Python with LightGBM and Scikit-learn
AWS SageMaker S3 Fargate expertise
SQL proficiency with Snowflake
Full model lifecycle ownership
MLOps pipeline and monitoring design
Nice-to-have
Experience with Java integration
Docker and ECS containerization
Infrastructure as code Terraform
A/B testing framework building
MLflow or Weights & Biases usage
Transformer architectures and RAG patterns
Key Requirements
5+ years of experience building and deploying ML models in production
Deep understanding of supervised learning techniques
Strong ability to work autonomously on technical decisions