Senior MLops Engineer

Job Description

Roles and Responsibilities

Design, develop, and maintain large-scale machine learning pipelines using MLOps tools such as Vertex AI.
Collaborate with cross-functional teams to deploy predictive models on Google Cloud Platform (GCP) infrastructure.
Develop and implement data processing workflows using Python scripts and APIs.
Troubleshoot issues related to model deployment, data quality, and performance optimization.
Ensure compliance with security standards and best practices in the development of ML algorithms.

Desired Candidate Profile

11-18 years of experience in Machine Learning Engineering or a related field.
Strong proficiency in programming languages such as Python, with expertise in TensorFlow or similar frameworks.
Experience working with cloud computing platforms like GCP; knowledge of Vertex AI is an added advantage.
Bachelor's degree in Artificial Intelligence and Machine Learning, Computer Science, or a related field; Master's degree preferred.