Senior Cloud AI / GenAI Engineer
- NTT DATA, Inc.
- 2 - 6 years
- Chennai
- 20 days ago
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Job Description
Key Responsibilities:
Cloud AI Design and Development: Design, develop, 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).
Agentic AI: Develop and integrate agentic AI systems on cloud platforms, enabling autonomous decision-making and action-taking capabilities in AI solutions.
Cloud-Based Vector Databases: Design and 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: Implement robust security measures for cloud-based LLMs, including data encryption, IAM policies, network security, model watermarking, and compliance with cloud security best practices.
Technical Leadership: Provide technical guidance and support to junior team members on cloud AI implementation, ensuring high-quality deliverables and adherence to best practices.
Client Engagement: Collaborate with clients to understand their AI requirements, develop tailored solutions, and deliver high-quality results.
Cloud Solution Architecture: Design scalable, efficient, and cost-effective cloud-based AI/GenAI architectures, considering factors like data quality, model performance, and serverless/container-based deployment options.
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: Ensure thorough testing and validation of AI/GenAI models, including performance evaluation, bias detection, and explainability.
Deployment and Maintenance: Deploy AI/GenAI models in production environments, ensuring seamless integration with existing systems and infrastructure.
Knowledge Sharing: Share knowledge and expertise with the team, contributing to the development of best practices and staying up-to-date with industry trends.
Requirements:Education:
Bachelor/Master's in Computer Science, AI, ML, or related fields.
Experience: 8+ years of experience in engineering solutions, with a track record of delivering Cloud AI solutions.
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 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
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Technical Architect
Employement Type: Full time
Contact Details:
Company: NTT DATA, Inc.Location(s): Chennai
Keyskills: Cloud AI Gen AI Azure GCP Cloud Model Development AWS
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