ML Ops Engineer (Accepts C2C)
Required:
2-3 years of experience working with ML Ops
5 -7 years of experience with Python programing and SQL
3-5 years of experience working with Pyspark, Scala, stored procedures in Snowflake/ any other cloud computing and database systems
Strong understanding of the full machine learning lifecycle.
Experience working with DevOps and building the DevOps pipelines (Azure/AWS/Snowflake)
Experience building custom integrations between cloud-based systems using APIs.
Experience developing and maintaining ML systems built with open-source tools.
Desired:
Exposure to machine learning methodology and best practices
Exposure to deep learning approaches and modeling frameworks (PyTorch, TensorFlow, Keras, etc.)
Experience working in Agile environment.
A desire for ongoing training, keeping up-to-date with the latest cloud and machine learning technologies
Handling load balancing, authentication, integration hardware sizing and configuration
Understand the importance of continuous learning and personal development.
Knowledge about statistics is a plus.
Ability to translate business needs to technical requirements
Solution:Jump to solution
ML Ops Engineer - E-Deft - Remote
1-9-2024 - ML Ops Engineer Citius tech / Sapphire Digital REMOTE No Take off the model's that data scientists build and turn them into a real mach...
1 Reply
Solution
eastern-cyan•5mo ago
ML Ops Engineer - E-Deft - Remote
1-9-2024 - ML Ops Engineer Citius tech / Sapphire Digital REMOTE No Take off the model's that data scientists build and turn them into a real mach...