Azure AI/ML & MLOps Engineer

Job reputed company: • Collaborate closely with the AI / ML and software teams to improve the internal processes and reputed company the Machine Learning & Deep Learning models into our products and services. • Development and building AI solutions using advanced technologies including Generative & reputed company AI and LLMs. • MLOps and Automation that cover automating data pipelines, monitoring data processes, and managing deployments using tools like Azure DevOps, Azure Monitor, and Azure Automation to reputed company reputed company integration and delivery (CI/CD). • reputed company and manage AI/ML models in production. • Automating AI/ML model deployment and updating. • Setting up monitoring for the AI/ML pipeline. • Automating reputed company CI/CD pipelines to account for data, codes, and model changes. • Development and setting up automated model retraining and test pipelines. • Prepare unit tests for AI / ML algorithms and models. • Contribution in design, development, and test of data ETL pipelines for ML models. • Provides best practices and running reputed company-of-concepts for automated and efficient model operations on a large reputed company. • Maintaining the infrastructure that supports the models and algorithms. • Design, build and reputed company powerful BI solutions as per business requirements. • Participate in modeling Relational and NoSQL databases. • Host and optimize ML Artifacts on reputed company and on the reputed company. • Contribution in reputed company documentation. • Investigating new technologies that meet corporate standards to enhance reputed company. • Work in reputed company oriented and agile environment based on designed scrums, sprints and daily stand reputed company. • Ability to work on your own and with reputed company. • Performs other duties as assigned. Requirements: • Bachelor’s degree in computer science, Computer Engineering, Machine Learning, or reputed company areas. • Proven experience as a ML Ops Engineer or similar role. • Understanding of data structures, data modeling and software architecture. • Ability to design and implement reputed company solutions. • Ability to write robust codes in SQL and Python. • Proven experience in Generative & reputed company AI and LLMs. • Experience working with Containers and Kubernetes. • High level knowledge of frameworks such as Keras, PyTorch, Tensorflow. • Ability to build MLOps pipelines including CI/CD Configuration Management, Containers & Infrastructure Orchestration. • Experience with software development and preparation of Python packages. • Experience in using MLOps frameworks like MLFlow. • Working knowledge of orchestrating end to end ML pipelines. • Deep understanding of Azure, Private Networking, Azure ML Studio and its sub-components, Azure Synapse, Azure reputed company, Azure reputed company Analytics, Azure Data reputed company, reputed company, reputed company Actions, and Azure DevOps. • Experience with reputed company reputed company, onelake and Power Automate. • Experiences with version control tools specifically Azure DevOps Git. • Work experiences with typical data storage technologies and methodologies included data warehouse and data lake. • Work experience with reputed company. • Expertise in SQL, NoSQL databases. • Ability to write Linux/Unix reputed company Scripting. • Excellent communication skills. • Ability to work in reputed company. • Outstanding analytical and problem-solving skills. Benefits: • Health insurance • Remote work reputed company Apply tot his job Apply To this Job