Overview

KPMG entities in India are professional services firm(s).

Responsibilities

• KPMG India Services is seeking a highly skilled Generative AI Engineer to join our delivery team. The Generative AI Engineer will play a critical role in designing, building, and deploying enterprise‑grade AI solutions using modern cloud and data platforms such as Databricks, Microsoft Fabric (AI Fabric), Azure, and Snowflake.
• This role requires strong hands‑on engineering capability combined with a solid understanding of AI/ML frameworks and scalable cloud architectures to deliver measurable business value.
• AI Solution Design & Development
• Architect, design, and deliver Generative AI and machine learning solutions to address complex business challenges across KPMG service lines.
• Develop end‑to‑end AI solutions incorporating robust data engineering and model development practices, leveraging industry‑standard tools for orchestration, deployment, and scalable, governed data management.
• Utilize leading cloud services to build secure, resilient, and highly scalable AI solutions.
• Technical Leadership & Collaboration
• Work closely with data scientists, AI architects, platform engineers, and business stakeholders to define solution designs and technical requirements.
• Drive AI initiatives from experimentation and proof‑of‑concept through to enterprise‑scale production deployments.
• Collaborate with cross‑functional teams to embed AI capabilities into existing platforms, workflows, and business processes.
• Engineering & Implementation
• Write clean, efficient, and maintainable code using Python, JavaScript, or similar languages, with a focus on AI/ML and distributed data processing.
• Build and optimise scalable data pipelines to support data ingestion, feature engineering, model training, and inference.
• Implement model lifecycle management, deployment automation, and monitoring using industry‑standard tools and cloud‑native services.
• Cloud & Platform Operations
• Deploy, manage, and operate AI solutions on Cloud, adhering to cloud‑native best practices for security and reliability.
• Design and maintain CI/CD pipelines to enable automated model deployment and continuous improvement.
• Continuously optimising cloud infrastructure and AI workloads for performance, scalability, and cost efficiency.
• Performance Optimization & Reliability
• Monitor and tune AI models, data pipelines, and infrastructure to ensure optimal performance and scalability.
• Apply model fine‑tuning, hyperparameter optimisation, and feature engineering techniques to improve solution accuracy and effectiveness.
• Diagnose and resolve production issues related to data processing, model behaviour, and cloud infrastructure.
• Innovation & Continuous Improvement
• Stay up to date with advancements in Generative AI, large language models (LLMs), cloud platforms, and big‑data ecosystems.
• Explore and evaluate emerging tools, frameworks, and architectures to enhance solution quality and delivery speed.
• Contribute to engineering standards, reusable assets, and technical documentation to support consistency and quality across KPMG India Services.

Qualifications

• 3+ years of hands‑on experience in Generative AI, Machine Learning, or advanced data engineering roles.
• Demonstrated experience building and deploying AI/ML solutions using frameworks such as TensorFlow, PyTorch, or equivalent.
• Hands‑on experience with cloud platforms such as AWS/Azure/GCP.
• Strong proficiency in Python, JavaScript, or similar programming languages.
• Solid understanding of AI/ML algorithms, model deployment patterns, and MLOps practices.
• Expertise in data engineering, distributed processing, and cloud‑based architecture.
• Strong analytical and problem‑solving skills with the ability to work effectively in cross‑functional, global teams.
• Excellent communication skills, with the ability to translate complex technical concepts for both technical and non‑technical stakeholders.

Education

• Bachelor’s or master’s degree in computer science, Engineering, Data Science, or a related field.
• Relevant certifications in AI/ML, Azure, cloud computing, or data engineering are a strong plus.