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.