MLOps Engineer
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Employer: | Emerson Croft |
Domain: |
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Job type: | full-time |
Job level: | peste 5 years of experience |
Location: |
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Updated at: | 15.04.2020 |
Remote work: | On-site |
We are a Silicon Valley recruitment firm that powers companies used daily by millions of users. We work out of offices on 3 continents, with the majority of us working remotely from home or coworking spaces.
Requirements
Requirements:
5+ years of industry experience
2+ years of experience in developing continuous integration and deployment (CI/CD) pipelines (e.g. Jenkins)
Experience with designing, building, and deploying MLOps pipelines
Proficient knowledge of git (DVC), Docker and containers, Kubernetes, Airflow
Proficiency in distributed storage and processing of big data with Hadoop and Spark
Experience with Hive
Experience with database management systems and tools including but not limited to Cassandra, MongoDB, SQL
Strong programming skills in Python, C or C++
Experience with deep learning frameworks (such as TensorFlow and PyTorch)
Nice to haves:
Passion for building automation to reduce manual tasks
Solid understanding of math, networking, storage, and sysadmin best practices
You will:
Create ML pipeline - ETL, continuous integration and deployment (CI/CD)
Define the model management system, technologies, and processes to manage model development, training, and deployment including hyper-parameter configuration and optimization
Create scalable systems for efficient monitoring, tracing, profiling, and debugging
Diagnose and support complex systems
Get involved with our Silicon Valley-based, stealth-mode AI healthcare startup by joining their remote team as an MLOps Engineer.
Apply if you’re fiercely independent and self-motivated people who can thrive in the comfort of their own work-space, on their own hours.
Their company culture is intense, but professionally and personally rewarding. You’ll own tasks, be expected to contribute ideas at a high level, and execute. And the remote setting allows you to spend less time in meetings and more time doing the things you love.
Reasons why this AI startup might be your dream workplace:
A competitive salary and annual merit increase reviews — great work is rewarded
A culture that communicates over the phone and asynchronously
Flexible working time and vacations
Distributed and strategic work
A chance to join collaborative teams
Room for personal and professional growth and development
Opportunity to learn many new technologies and information working with bright individuals
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