Senior MLOps Engineer with Airamatrix

You will be responsible for designing data pipelines and engineering infrastructure to support clients" enterprise machine learning systems at scale. Additionally, you will be tasked with taking offline models data scientists build and transforming them into real machine learning production systems. Your role will involve developing and deploying scalable tools and services for clients to handle machine learning training and inference efficiently. You will need to identify and evaluate new technologies to enhance the performance, maintainability, and reliability of clients" machine learning systems. It is essential to apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc. Furthermore, you will support model development with a focus on auditability, versioning, and data security. Your responsibilities will also include facilitating the development and deployment of proof-of-concept machine learning systems and communicating with clients to gather requirements and track progress. Qualifications: - Experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer, or Data Engineer (or equivalent) - Strong software engineering skills in complex, multi-language systems - Fluency in Python - Comfort with Linux administration - Experience working with cloud computing and database systems - Experience building custom integrations between cloud-based systems using APIs - Experience developing and maintaining ML systems built with open source tools - Experience developing with containers and Kubernetes in cloud computing environments - Familiarity with one or more data-oriented workflow orchestration frameworks (KubeFlow, Airflow, Argo, etc.) - Ability to translate business needs to technical requirements - Strong understanding of software testing, benchmarking, and continuous integration - Exposure to machine learning methodology and best practices - Exposure to deep learning approaches and modeling frameworks (PyTorch, TensorFlow, Keras, etc.) Total Experience: 4+ years Education Qualification: BE/B.Tech/MCA/M.Sc/M.Tech,