Sense · 17 hours ago
Sr. Machine Learning Ops Engineer
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Consumer ElectronicsGreenTech
No H1B
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Responsibilities
Design, build, and maintain model training and serving infrastructure for CI/CD
Collaborate with data scientists and data engineers to improve productivity by increasing automation for model training and experimentation workflows
Provide technical leadership to data engineers
Support annotation and ground truth collection through tool improvement and automation
Champion best practices for data science software development processes and serve as architect for shared data science software libraries
Work with the infrastructure guild to upgrade and patch libraries; maintain and optimize pipelines
Responsible for ensuring data science production software is robust and scalable
Identify and implement cost savings; monitor and manage costs
Qualification
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Required
5+ years of experience designing, building, and maintaining production AI/ML applications
Strong programming skills (Python, C, etc.)
Experience with ML libraries (PyTorch, scikit-learn, Tensorflow)
Cloud experience (AWS preferred)
Experience with frameworks such as MLFlow, Kubeflow, Airflow, Docker, etc
Strong communication and collaboration skills
Must be authorized to work in the U.S
Benefits
Flexible time away policy
Paid parental leave
Competitive compensation and generous healthcare benefits
Stock Options and 401k with up to 10k match
Company
Sense
Sense specializes in tracking devices and home automation solutions for its customers.
Funding
Current Stage
Growth StageTotal Funding
$174.6MKey Investors
Japan Energy FundMacKinnon, Bennett & CompanySE Ventures
2022-04-27Series C· $127.6M
2021-09-03Series Unknown
2019-07-29Series B· $10M
Recent News
Business Standard (India)
2024-10-25
Company data provided by crunchbase