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.