Senior-GDC / Senior Engineer at KPMG

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

17 Aug, 26

Salary

0.0

Posted On

19 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Application Development, Python, Java, Angular, Spark, Container Services, Full Stack Development, Data Ingestion, Stream Analytics, Business Analysis, Software Development Lifecycle, Data Governance

Industry

Business Consulting and Services

Description

Roles & responsibilities Here are some of the key responsibilities of an AI Engineer : Design and develop AI Application with strong frontend and backend skills. Deploy, maintain, and support application across all the environments, ensuring seamless integration with front-end and back-end systems. Ability to scale up the deployed applications using container services, strong experience in building the pipeline to meet the performance benchmarks. Conduct business analysis to gather requirements and develop scripts, and pipelines that meet technical specifications for business needs, utilizing both server-side and client-side technologies. Develop real-time data ingestion and stream-analytic solutions utilizing technologies such as Python (preferably Spark clusters), and cloud platforms to support AI applications. Utilize multiple programming languages and tools, including Python Java, and frontend frameworks, preferably Angular to build prototypes for AI models and evaluate their effectiveness and feasibility. Develop application systems that adhere to standard software development methodologies, ensuring robust design, programming, backup, and recovery processes to deliver high-performance AI solutions across the full stack. Provide system support as part of a team rotation, collaborating with other engineers to resolve issues and enhance system performance, including both front-end and back-end components. Operationalize open-source AI and data-analytic tools for enterprise-scale applications, ensuring they align with organizational needs and user interfaces. Ensure compliance with data governance policies by implementing and validating data lineage, quality checks, and data classification in AI projects. Understand and follow the company’s software development lifecycle to effectively develop, deploy, and deliver AI solutions. Design and develop AI frameworks leveraging open-source tools and advanced data processing frameworks, integrating them with user-facing applications. Lead the design and execution of complex AI projects, ensuring alignment with ethical guidelines and principles under the guidance of senior team members.

Responsibilities

Design, develop, and deploy full-stack AI applications, ensuring seamless integration between frontend and backend systems. Operationalize open-source AI tools and implement data governance policies to deliver high-performance enterprise solutions.