About this role

Lead a team of ML/Ops engineers in deploying and managing Machine Learning models.
Build and enhance capabilities to seamlessly integrate ML models into existing pipelines.
Collaborate with cross-functional teams to understand project requirements and ensure successful deployment.
Provide ongoing support to accommodate surges in requirements, focusing on scalability and efficiency.
Utilize Python for scripting and automation tasks.
Work with Cloud platforms, particularly Azure and GCP to optimize machine learning workflows.

At least 3 years of experience in ML/Ops or a related field.
Proven leadership skills with the ability to guide and inspire a team.
Excellent communication skills to effectively liaise with clients and internal teams.
Strong experience in deploying Machine Learning models.
Proficiency in Python for scripting and automation.
Hands-on experience with Cloud platforms, particularly Azure and GCP.
Prior experience in addressing scalability and pricing concerns in ML operations.

Machine Learning Operations Engineer – Team Lead

Key skills