GenAI - Data Science - Develop and evaluate LLM-powered solutions such as summarization, classification, extraction and conversational assistants - Design prompt strategies, RAG architectures, and fine-tuning/adapter approaches where appropriate - Apply NLP and ML methods: text classification,
Key Responsibilities Design and build agentic LLM solutions (single- and multi-agent patterns) to solve real business problems across domains (e.g., customer support, document intelligence, knowledge retrieval). Build RAG pipelines end-to-end: data ingestion → chunking/embeddings → vector
Key Responsibilities 1. Solution Architecture & Strategy Define and lead end-to-end architecture for enterprise GenAI platforms and use cases Design scalable agentic systems (single-agent, multi-agent, orchestration frameworks) Establish reference architectures, design patterns, and reusable frameworks Lead architecture
Key Responsibilities 1. Solution Architecture & Technical Leadership Architect enterprise-grade agentic and LLM solutions (single-agent, multi-agent, tool-driven workflows) Define scalable GenAI system design patterns (RAG, orchestration layers, evaluation frameworks) Act as the technical anchor for GenAI initiatives across
Key Responsibilities Design and develop LLM-powered applications using agentic patterns (single/multi-agent) for business use cases Build and optimise end-to-end RAG pipelines (ingestion, embeddings, retrieval, orchestration, response synthesis) Implement prompt engineering and orchestration techniques (prompt chaining, tool/function
Key Responsibilities Design and develop LLM-based applications using single-agent or simple multi-agent patterns for business use cases Build and maintain RAG pipelines: data ingestion → chunking → embeddings → retrieval → response generation Implement prompt engineering
The driving force behind our success has always been the people of AspenTech. What drives us, is our aspiration, our desire and ambition to keep pushing the envelope, overcoming any hurdle, challenging the status quo to
About Adobe Changing the world through digital experiences is what Adobe is all about. We empower everyone—from emerging creators to the worlds largest enterprises—to build, compose, and deliver outstanding digital experiences. Innovation is at the heart
About Adobe Changing the world through digital experiences is what Adobe is all about. We empower everyone—from emerging creators to the worlds largest enterprises—to build, compose, and deliver outstanding digital experiences. Innovation is at the heart
Key Responsibilities: Manage individual project priorities, deadlines and deliverables. Develop, maintain, and execute automated test scripts using Selenium preferably. Set up automation frameworks from scratch and Integrate automation code/tools to CI/CD pipeline. Perform API testing to
About the Role: Grade Level (for internal use):12 About the Role: We are looking for a Senior Full Stack Software Engineer who thrives on building high-performance, scalable, and AI-augmented enterprise applications. This role demands strong backend
Area(s) of responsibility GenAI App Tech Architect – Azure OpenAI & Azure Cognitive Search We are looking for an experienced GenAI Architect to design, build, and scale enterprise-grade Generative AI solutions. The ideal candidate will have deep expertise
Req ID: 376447 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are
Hybrid Cloud & Public Cloud Pre-Sales Consultant Location: Noida, Bengaluru, Chennai, Pune Experience: 3–12 Years Role Summary Support hybrid cloud pre-sales engagements by designing solutions across on-prem, private, and public cloud environments. Work closely with sales
Role: Agentic AI Lead (Data Engineering → GenAI Transformation) We are seeking senior Data Engineering leaders who have evolved into hands‑on GenAI / Agentic AI practitioners . This role is not for pure research, academic, or experimentation-focused profiles.
Primary Skills :Cloud (AWS, Azure, GCP), Python, GenAI, Keras, TensorFlow, scikit-learn, XGBoost, Neural Networks, Apache Pyspark, Random Forest model, Machine Learning, AI / ML, PyTorch, SQL Requirements: Must have skills for Lead Data Scientist role: Python – 2+ years
About Algotale At Algotale, we believe in the transformative potential of data to reshape industries, drive innovation, and create unparalleled value. Established in 2020 by a team of passionate and visionary professionals, Algotale set out to
Immediate Joiner Job Title: Data Engineer Location: Noida, Film City Sector 16A Experience: 3.5-7 years Budget: Upto 40LPA Role Overview : We are seeking a highly skilled Data Engineer to build and scale modern data platforms
Applications Development (Level D/E) Location: Gurgaon / Noida Work Model: Hybrid — at least three days a week in the office What can you expect? As a Senior Principal Engineer – Applications Development (Level E) at
Our vision is to build the Analytics & Insights function as a strategic growth engine and competitive differentiator for the company. What do we do – Embed analytics across the organisation to help increase revenue, improve