Job Description

About Company :Our client is a trusted global innovator of IT and business services. They help clients transform through consulting, industry solutions, business process services, digital & IT modernization and managed services. Our client enables them, as well as society, to move confidently into the digital future. We are committed to our clients\' long-term success and combine global reach with local client attention to serve them in over 50 countries around the globe.:

• 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: Bachelor\'s 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.

Job Title: MLOPS+ GCP Engineer/LeadLocation: Pune/Bangalore/Hyderabad/Mumbai/Chennai/NoidaExperience: 4 to 8 YearsEmployment Type: PermanentWork Mode: WFONotice Period: Immediate to 30 Days OnlyCTC: 35 LPA

People Prime Worldwide