Job Description :
AI healthcare startup with 132 million monthly unique visitors seeking a MLOps Engineer
Get involved with our Silicon Valley-based, stealth-mode AI healthcare startup by joining their remote team as a 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.
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
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