Cloud Solution Delivery Sr. Analyst at NTT DATA

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

08 Apr, 26

Salary

0.0

Posted On

08 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI/ML Solutions, Generative AI, Machine Learning, Deep Learning, NLP, Statistics, Cloud-Based AI, Python, APIs, Data Infrastructure, Problem-Solving, Communication, Collaboration, Innovation, Model Deployment, Data Analysis

Industry

IT Services and IT Consulting

Description

Develop, and implement AI/ML and Generative AI solutions across various domains, including prediction systems, recommendation engines, text analytics, computer vision, chatbots, and content intelligence platforms. Build and deploy advanced ML models using frameworks such as TensorFlow, PyTorch, Keras, Spacy, and scikit-learn. Apply deep knowledge of statistics, machine learning, NLP, and generative models including GANs and transformers. Work with RAG (Retrieval-Augmented Generation) techniques and tools including Langchain, LlamaIndex, and vector databases like FAISS and Milvus. Integrate and manage LLM APIs and registries (e.g., Hugging Face, OpenAI, Google Vertex AI, AWS Bedrock). Build scalable APIs using Python frameworks such as Flask, Django, Django Rest Framework, or FastAPI. Collaborate with cross-functional teams to design and implement end-to-end AI pipelines, from data ingestion to model deployment and monitoring. Support the development of GenAI use cases, prototypes, and POCs tailored to specific industry requirements. Maintain and enhance data infrastructure for collecting, cleaning, and analysing large-scale datasets. Communicate technical concepts clearly and effectively with both technical and non-technical stakeholders. Engage with clients to understand business needs and deliver customized AI/ML solutions that drive value. Demonstrate innovation in Private AI and Smart Agent Solutions, ensuring data privacy and intelligent automation. Stay current with trends and advancements in AI, GenAI, LLMs, and related fields. 2+ years of experience using Python and relevant packages for ML and data science. 1+ years of experience in delivering impactful GenAI solutions, preferably in Private AI and Smart Agentic Systems. 2+ years of experience in one or more of the following areas: Predictive Analytics Machine Learning and Deep Learning Generative AI Data Design ML Ops / AI Infrastructure Strong understanding of LLM technologies, embedding models, cloud-based AI services, and AI/ML operations. Hands-on experience with cloud-based AI platforms, including Azure OpenAI, Google Vertex Gen AI, and AWS AI services. Strong problem-solving skills and critical thinking. Effective communicator capable of translating complex AI topics to stakeholders. Self-driven, collaborative, and adaptable to fast-paced environments.

Responsibilities

Develop and implement AI/ML and Generative AI solutions across various domains. Collaborate with cross-functional teams to design and implement end-to-end AI pipelines, from data ingestion to model deployment and monitoring.