Cloud Artificial Intelligence
4 weeks ago
About the Role:
As a Cloud AI/ML Operations Lead, you will be responsible for ensuring the smooth operation of our cloud-based AI and machine learning systems. This includes expertise in public cloud services, particularly in GCP, as well as experience working with VertexAI/Kubeflow Pipelines or other MLOps tools like MLFlow. You will also be responsible for knowledge of machine learning frameworks (TensorFlow, PyTorch) and libraries (, scikit-learn, HuggingFace), prompt engineering methods, LangChain, Vector databases, and machine learning algorithms. Additionally, you will have knowledge of LLMOps concepts and practices, including model versioning, deployment, monitoring, and efficient resource utilization for large language models. Experience in Infrastructure and Applied DevOps principles, utilizing tools for continuous integration and continuous deployment (CI/CD), and Infrastructure as Code (IaC) like Terraform to automate and improve development and release processes is also required. Furthermore, you will have knowledge of containerization technologies such as Docker and Kubernetes to enhance the scalability and efficiency of applications. The ideal candidate will have proven experience in engineering machine learning systems at scale, strong programming abilities in SQL, Java, and Python, and proven experience with the entire ML lifecycle (processing, training, evaluation, deployment, serving, monitoring).
Requirements:
• 4+ years of experience in ML Ops.
• 2+ years of experience building end-to-end data pipelines.
• 2+ years of experience building and deploying ML models in GCP.
• 3+ years of experience working with SQL, Java, Python for data analysis.
• Technical degree: Computer Science, software engineering or related.
• Based in Bangalore and willing to work from the office 3 days a week
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