Machine Learning Operations (ML/Ops) Engineer - Team Lead

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Requirements:

• 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.

Responsibilities:

• 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.