We are looking for DevOps Engineer who provides support to Cloud & BigData infrastructure, applications, and SQL/NoSQL database management of both on-premise and Cloud-based system of organization Products and Enterprise Clients
In this position, we are looking for a person who can innovate, design, analyze, evaluate, architect, implement and tune complex algorithms and ML models operating on large sets of data in collaboration with Data scientists and Software Engineering teams
Participate in Product Development in artificial intelligence and machine learning applications.
Develop solutions for real world, large-scale problems.
Performance tuning of Machine Learning & Deep Learning Algorithms on Large Dataset
Handling Product and Solution Business Development and Sales Activities
Identifying potential clients and build relations to generate business requirement.
Build a pipeline of business through proactive identification of potential new business in addition to the close partnership with our marketing teams.
Identify new business opportunities and responsible for CRM activities, Post sales activities.
Managing the entire sales cycle (Lead Generation, Credential Pitch, Customer Acquisition, Account
Management/Post Sales Services etc.) for the relevant technology Product and solution
Solid experience in writing cross-browser compatible front-end code.
Experience with webpage loading performance techniques.
Experience with integrating UI code with server-side platforms.
Ability to work in a fast-paced and agile development environment.
Ability to technically document software deliverables through use cases, design documents and technical specifications.
Motivated to drive tasks to completion and take ownership of projects.
Develop new user-facing features
Build reusable code and libraries for future use
Optimize applications for maximum speed and scalability
Assure that all user input is validated before submitting to back-end services
Collaborate with other team members and stakeholders.
Design, develop, test, deploy, maintain and improve the software.
Manage individual project priorities, deadlines and deliverables.
Efficient Code and Documentation of the Project
Proper Github Process Flow Implementation and Coding Best Practices
Review and influence ongoing design, architecture, standards and methods for operating services and systems
Talk to Experts for Assessment on Infrastructure Automation,
DevOps Intelligence, Big Data Engineering and Decision Science