Minimum 5 years hands on experience in model building methodologies, implementation and compliance. Retail Risk Analytics, Credit Risk Modelling & IFRS9 Expert knowledge of credit scoring techniques, Reporting management & Meeting Deadlines Deep understanding of banking
What We Are Looking For Required Experience 7+ years of experience in Site Reliability Engineering, DevOps, or Platform Engineering in a production cloud environment. 5+ years of hands-on experience with AWS cloud services across compute, networking,
KMK is a global data analytics and technology consulting company empowering leaders across the Life Sciences industries to make better data-driven decisions. Our data analytics and software platforms support data science, commercial operations, real-world evidence, and
Design, implement Azure data solutions Migrations to Azure using services such as Data Factory, Synapse, Databricks, Function App, and ADLS Migrate legacy SSIS packages to Azure cloud Integrate data from multiple sources using Python, SQL, Databricks, and
Job Title: Data Science AI/ML Lead Location: Remote Work / Bangalore Type: Full Time with our client Salary: Market About the Rol e Were seeking a AI/ML Architect to lead the design, development, and deployment of
About the Role We are looking for a skilled Network Engineer with hands-on experience in Microsoft Azure networking and Palo Alto security platforms. The ideal candidate will design, implement, and maintain robust, secure, and scalable network
About Turing: Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier
About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first,
Project Description: Clients application support is responsible for the production systems, including Trading, Post-Trade, and PnL software, environment management, and software deployment. Will work closely with developers, business analysts and infrastructure team members as well as