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About the Role
Do you have exceptional data capabilities?
Would you like to join a Global leader in Legal Analytics and Technology?
Role Overview
The Machine Learning Engineer develops, deploys, and maintains scalable AI/ML solutions that meet production standards. They turn data science prototypes into reliable, production-ready services, automate MLOps workflows, and build tools and infrastructure for model training and inference. This role requires strong software engineering, DevOps, and cloud skills, as well as experience with NLP, search technologies, vector, and graph databases, and modern MLOps platforms.
Responsibilities:
+ Finalizing requirements by collaborating with other technical personnel or team members.
+ Writing and reviewing portions of detailed specifications for the development of AI/ML-driven software and systems.
+ Completing complex bug fixes across ML pipelines, data workflows, and production systems
Would you like to join a Global leader in Legal Analytics and Technology?
Role Overview
The Machine Learning Engineer develops, deploys, and maintains scalable AI/ML solutions that meet production standards. They turn data science prototypes into reliable, production-ready services, automate MLOps workflows, and build tools and infrastructure for model training and inference. This role requires strong software engineering, DevOps, and cloud skills, as well as experience with NLP, search technologies, vector, and graph databases, and modern MLOps platforms.
Responsibilities:
+ Finalizing requirements by collaborating with other technical personnel or team members.
+ Writing and reviewing portions of detailed specifications for the development of AI/ML-driven software and systems.
+ Completing complex bug fixes across ML pipelines, data workflows, and production systems
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