Top Tech Jobs & Startup Jobs in Hyderabad

The Associate Director - Internal Audit leads the IT Audit team, manages risk assessments, conducts technology audits, and oversees compliance with internal policies for S&P Global. Responsibilities include developing audit plans, managing stakeholder relationships, and enhancing audit functions using emerging technologies.

The Financial Analyst will assist in analyzing financial metrics, report on DSO and delinquent AR, collaborate with teams, and leverage tools for data analysis.

As a Senior Developer, you will evaluate and implement AI frameworks, optimize AI models, integrate research into production, and collaborate with stakeholders. You will also document and oversee testing of AI agents to ensure compliance and performance standards.

The Implementation Consultant will manage multiple client implementations, collaborate with teams, perform product analysis, and communicate status updates in a dynamic FinTech environment.

The Associate Director, Platform Engineering will lead engineering efforts, driving innovation and efficiency in platform solutions for S&P Global, fostering team collaboration and ensuring delivery of high-quality results.

Lead the design and implementation of production-grade GenAI services, drive MLOps platform development, and mentor junior engineers in a collaborative AI team.

Lead the development of S&P Ratings' cloud-based analytics platform by architecting innovative software solutions, mentoring engineers, and collaborating with business partners on requirements.

The Senior Software Engineer will enhance search experiences by integrating AI/ML capabilities, designing microservices, optimizing data retrieval, and collaborating with product and engineering teams.

The Lead Data Engineer will build and maintain data acquisition and transformation pipelines, collaborating with technology teams to support business operations in the Financial Services industry.

Develop and implement cloud-based services and full-stack applications using various technologies, manage CI/CD pipelines, and collaborate with teams to integrate data science models.