Tech Lead

Job Summary:is seeking a talented MLOps Engineer with expertise in Google Cloud Platform (GCP) to streamline and optimize the deployment of machine learning models. As part of our AI/ML team, you will build and manage scalable MLOps pipelines, ensuring the smooth transition of AI models from development to production in a secure and cost effective manner. Key Responsibilities:Design and manage MLOps pipelines on GCP to support the continuous delivery and deployment of ML models. Collaborate with data scientists, software engineers, and IT teams to integrate AI models into production environments. Implement CI/CD pipelines, version control, model monitoring, and retraining workflows. Utilize GCP services like AI Platform, Vertex AI, and BigQuery to optimize ML workloads. Troubleshoot deployment issues and ensure the scalability and security of AI/ML systems. Continuously improve the performance and reliability of ML models in production. Stay updated with best practices in MLOps, cloud technologies, and AI governance. Qualifications:Bachelors degree in Computer Science, AI, or related fields. 3+ years of experience in MLOps with a focus on GCP. Strong expertise in GCP tools like Vertex AI, BigQuery, Dataflow, and AI Platform. Proficiency in Python, Docker, Kubernetes, and cloud native CI/CD tools. Experience in automating the end to end machine learning lifecycle. Preferred Qualifications:GCP Professional Machine Learning Engineer certification. Experience with MLOps in other cloud platforms (AWS, Azure). Strong problem solving skills and experience working with real time AI systems.