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The AI Engineer role at NTT DATA involves designing, developing, and deploying AI/ML models and intelligent automation solutions. Candidates should have a Bachelor's Degree in Technology or equivalent experience, with at least two years in Machine Learning or Data Science. Proficiency in Python and SQL is essential, along with knowledge of data warehousing and AI frameworks. The position offers a hybrid work environment and opportunities for professional growth.
Job Responsibility:
Design, develop, and deploy AI/ML models and intelligent automation solutions
API Development & Integration
Vectorization & Embeddings
Collaborate with cross-functional teams to identify, scope, and implement AI use cases
Integrate AI capabilities into enterprise applications and workflows
Monitor and maintain AI solutions in production
Provide second- and third-level support for AI-related incidents
Partner with infrastructure and security teams
Contributes to the development of reusable AI components
Mentor and support business users and citizen developers
Participate in the evaluation of new AI tools
Document solution architectures, workflows, and best practices
Support the AI Center of Excellence
Maintain and enforce change control processes
Assist in developing and maintaining operational standards and best practices
Leverage AI and automation tools for proactive monitoring
Collaborate with AI Solutions Engineers and the AI Center of Excellence
Ensure infrastructure readiness for hybrid cloud and AI platforms
Perform other duties as required
Requirements:
Bachelor's Degree in Technology Industry is preferred or equivalent work experience
Two (2) or more years of professional experience in Machine Learning, Data Science, or Software Engineering
Microsoft Exam AI-102: Designing and Implementing an Azure AI Solutions (preferred)
Proficiency in Python (must) and SQL
Solid understanding of data warehouse concepts
Knowledge of AI agent frameworks and orchestration (e.g., LangChain)
Strong understanding of Large Language Models, fine-tuning, and RAG pipelines