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Cloud AI / GenAI Engineer

Cloud AI / GenAI Engineer

NTTchennai, India
5 hours ago
Job description

JOB DESCRIPTION

Make an impact with NTT DATA

Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.

Your day at NTT DATA

Cloud AI / GenAI Engineer(ServiceNow)

We are seeking a talented AI / GenAI Engineer to join our team in delivering cutting-edge AI solutions to clients. The successful candidate will be responsible for implementing, developing, and deploying AI / GenAI models and solutions on cloud platforms. This role requires knowledge of ServiceNow modules like CSM and virtual agent development. Candidate should have strong technical aptitude, problem-solving skills, and the ability to work effectively with clients and internal teams.

What you'll be doing

Key Responsibilities :

Cloud AI Implementation : Implement and deploy AI / GenAI models and solutions using various cloud platforms (e.g., AWS SageMaker, Azure ML, Google Vertex AI) and frameworks (e.g., TensorFlow, PyTorch, LangChain, Vellum). Build Virtual Agent in SN – Design, develop and deploy virtual agents using SN agent builder Integrate SN – Design and develop seamless integration of SN with other external AI systems Agentic AI : Assist in developing agentic AI systems on cloud platforms, enabling autonomous decision-making and action-taking capabilities in AI solutions. Cloud-Based Vector Databases : Implement cloud-native vector databases (e.g., Pinecone, Weaviate, Milvus) or cloud-managed services for efficient similarity search and retrieval in AI applications. Model Evaluation and Fine-tuning : Evaluate and optimize cloud-deployed generative models using metrics like perplexity, BLEU score, and ROUGE score, and fine-tune models using techniques like prompt engineering, instruction tuning, and transfer learning. Security for Cloud LLMs : Apply security practices for cloud-based LLMs, including data encryption, IAM policies, and network security configurations. Client Support : Support client engagements by implementing AI requirements and contributing to solution delivery. Cloud Solution Implementation : Build scalable and efficient cloud-based AI / GenAI solutions according to architectural guidelines. Cloud Model Development : Develop and fine-tune AI / GenAI models using cloud services for specific use cases, such as natural language processing, computer vision, or predictive analytics. Testing and Validation : Conduct testing and validation of cloud-deployed AI / GenAI models, including performance evaluation and bias detection. Deployment and Maintenance : Deploy AI / GenAI models in production environments, ensuring seamless integration with existing systems and infrastructure. Cloud Deployment : Deploy AI / GenAI models in cloud production environments and integrate with existing systems.

Requirements :

Education : Bachelor / Master's in Computer Science, AI, ML, or related fields. Experience : 3-5 years of experience in engineering solutions, with a track record of delivering Cloud AI solutions. . Should have at least 2 years’ experience of SN and SN agent builder Technical Skills :

  • Proficiency in cloud AI / GenAI services and technologies across major cloud providers (AWS, Azure, GCP)
  • Experience with cloud-native vector databases and managed similarity search services
  • Experience with SN modules like CSM and virtual agent builder
  • Experience with security measures for cloud-based LLMs, including data encryption, access controls, and compliance requirements

Programming Skills : Strong programming skills in languages like Python or R Cloud Platform Knowledge : Strong understanding of cloud platforms, their AI services, and best practices for deploying ML models in the cloud Communication : Excellent communication and interpersonal skills, with the ability to work effectively with clients and internal teams. Problem-Solving : Strong problem-solving skills, with the ability to analyse complex problems and develop creative solutions. Nice to have : Experience with serverless architectures for AI workloads Nice to have : Experience with ReactJS for rapid prototyping of cloud AI solution frontends

Location : Delhi or Bangalore (with remote work options)

Workplace type : Hybrid Working

About NTT DATA

NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.

Equal Opportunity Employer

NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.

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