Roles and Responsibilities

• AI/ML modelling in Public Cloud and creating modelling pipelines
• Leading the complex data operations and building data pipelines
• Building and implementing solutions with AI + Machine Learning Services(Machine Learning, cognitive services and Bot services)
• Experience in Building Complex training and inference machine learning pipelines.
• Experience in handing big data (Both Tabular and File formats) as Input and output of the machine learning pipelines
• Infrastructure, Platform and Software as a service offerings within Azure
• Python Programming
• Designing cloud architecture for private, public and hybrid cloud models
• Ability to work closely with business to understand and incorporate requirements in the application architecture

Desired Candidate Profile

• Deep knowledge in components & services in public cloud (AWS / Azure/ Any other)
• Experience working with Azure, AWS or the Google Cloud Platforms in either a consulting, pre-sales or engineering role, with an interest in technical pre-sales. Pre-sales experience, demonstrating customer facing, commercial & technical capability, preferred but not essential
• Broad technical background and experience in a variety of technologies and services
• You have a good understanding of modern application landscapes and their dependencies on the infrastructure platform
• Any appreciable application development, DevOps or Big Data experience is not required but would be advantageous
• Knowledge of common operating systems (Linux / Windows), networking, structured and unstructured datastores
• Certified in at least one public cloud, ideally to Professional level.
• ITIL and Red Hat Certified.
• Immediate joiners preferred.

Interested candidates can share their resumes to radhika.gupta@cyfuture.com