Data Scientist Consultant at KPMG India

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

27 May, 26

Salary

0.0

Posted On

26 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Generative Ai, Prompt Engineering, RAG, LLM-Based Solutions, Azure, AWS, GCP, Cloud-Native Architectures, MLOps, Python, SQL, Regression, Classification, Clustering, Time-Series Analysis, NLP

Industry

Business Consulting and Services

Description

Job Title: Senior AI Engineer Location: Bengaluru/ Pune/ Gurgaon Experience: 4+ years Employment Type: Full-time ________________________________________ About the Role We are looking for an experienced and innovative Senior AI Engineer to lead the design and development of advanced AI solutions. This role involves driving complex projects, mentoring junior engineers, and ensuring best practices in AI engineering. The ideal candidate will have deep expertise in Generative AI, RAG-based solutions, and cloud-native AI development, with strong problem-solving skills and a passion for building scalable, secure, and intelligent systems. ________________________________________ Educational Qualifications Bachelor’s Degree in a technical or quantitative field from an accredited institution. Master’s or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields is preferred. ________________________________________ Must-Have Skills and Experience Generative AI & Advanced AI Engineering Mandatory: Expertise in Prompt Engineering and Retriever-Augmented Generation (RAG) Hands-on experience with LLM-based solutions and Generative AI frameworks Cloud AI Development Proven experience deploying AI/ML solutions on Azure, AWS, or GCP Knowledge of cloud-native architectures and MLOps pipelines Core AI & Data Science Strong mathematical and algorithmic foundation Proficiency in Python, SQL, and enterprise-grade AI tools Advanced ML techniques: regression, classification, clustering, ensemble models, time-series analysis Familiarity with NLP, transformer architectures, and model optimization ________________________________________ Good-to-Have Skills Agentic AI & Automation Autonomous Agent Development and multi-agent orchestration Workflow automation for intelligent systems LLMOps, fine-tuning foundation models Development of multi-modal AI applications (text, image, audio) ________________________________________ Leadership & Collaboration Ability to mentor junior engineers and contribute to architectural decisions Experience working in agile, cross-functional teams Strong stakeholder management and solution-oriented mindset

Responsibilities

This role involves leading the design and development of advanced AI solutions, driving complex projects, and mentoring junior engineers to ensure best practices in AI engineering. The engineer will focus on building scalable, secure, and intelligent systems leveraging expertise in Generative AI and cloud-native development.