About KPMG MBS
KPMG's Microsoft Business Solutions team is a Microsoft Gold Partner and leader in Microsoft software implementations for medium to large organisations, providing our clients with the ability to keep up with the ever-changing digital world by implementing Microsoft’s Enterprise Resource Planning (ERP) and Customer Engagement (CE) software from the Microsoft Dynamics 365 (D365) software line.
Key Responsibilities:
AI Solution Development:
- Design, develop, and deploy Generative AI models and solutions that address complex business challenges across advisory, tax, and audit services.
- Leverage platforms such as Databricks for data engineering and AI model development, AI Fabric for orchestration and deployment, and Snowflake for scalable data management.
- Utilize Azure cloud services to implement and scale AI solutions, ensuring high availability, performance, and security.
Technical Leadership and Collaboration:
- Collaborate with data scientists, AI architects, and software engineers to define technical requirements and develop end-to-end AI solutions.
- Lead the development of AI models from experimentation and prototyping through to production, ensuring alignment with business objectives.
- Work closely with cross-functional teams to integrate AI solutions into existing workflows and systems, optimizing for efficiency and usability.
Coding and Implementation:
- Write high-quality, maintainable code using Python, Scala, or similar programming languages, focusing on AI/ML libraries and frameworks.
- Develop and optimize data pipelines using Databricks, ensuring seamless data flow from ingestion to AI model training and inference.
- Implement AI solutions using AI Fabric, focusing on model orchestration, deployment, and monitoring within a cloud environment.
Data Management and Integration:
- Design and manage data architectures using Snowflake, ensuring data is organized, accessible, and secure for AI model training and deployment.
- Integrate data from various sources, transforming and preparing it for AI model development, ensuring data quality and integrity.
- Work with large datasets, applying best practices for data engineering, ETL processes, and real-time data processing.
- Hands-on experience with AI frameworks and libraries such as TensorFlow, PyTorch, Keras, and transformer models like BERT and GPT.
Cloud & Infrastructure Management:
- Deploy AI models and services in Azure, utilizing cloud-native tools and best practices to ensure scalability, reliability, and security.
- Implement CI/CD pipelines to automate the deployment and management of AI models, ensuring rapid iteration and continuous delivery.
- Optimize infrastructure for AI workloads, balancing performance, cost, and resource utilization.
Performance Tuning and Optimization:
- Continuously monitor and optimize AI models and data pipelines to improve performance, accuracy, and scalability.
- Implement strategies for model fine-tuning, hyperparameter optimization, and feature engineering to enhance AI solution effectiveness.
- Troubleshoot and resolve technical issues related to AI model deployment, data processing, and cloud infrastructure.
Innovation and Continuous Improvement:
- Stay updated with the latest advancements in Gen AI, cloud computing, and big data technologies, applying new techniques to improve solutions.
- Experiment with emerging technologies and frameworks to drive innovation within KDN AI Labs.
- Contribute to the development of AI best practices, coding standards, and technical documentation to ensure consistency and quality across projects
Skills & Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
- Advanced certifications in AI/ML, cloud computing, or data engineering are advantageous.
- 7+ years of experience in AI, Machine Learning, or related fields, with hands-on experience in developing and deploying AI solutions.
- Proven experience with AI frameworks such as TensorFlow, PyTorch, and experience in working with Databricks, AI Fabric, and Snowflake.
- Extensive experience with Azure cloud services, including AI and data services, and a strong background in cloud-native development.
- Expertise in coding with Python, Scala, or similar languages, with a focus on AI/ML libraries and big data processing.
- Proficiency in designing and coding AI models, data pipelines, and cloud-based solutions.
- Strong understanding of AI/ML algorithms, data engineering, and model deployment strategies.
- Experience with cloud infrastructure management, particularly in Azure, and the ability to optimize AI workloads for performance and cost.
- Excellent problem-solving skills and the ability to work collaboratively in a cross-functional team environment.
- Strong communication skills, with the ability to articulate complex technical concepts to technical and non-technical stakeholders.
Microsoft Business Solutions Overview
At KPMG MBS, your long-term future is every bit as important to us as it is to you. That’s why our aim is to give you experiences that will stay with you for a lifetime. Whether it’s great training and development, mobility opportunities or corporate responsibility volunteering activities – you’ll gain a wealth of experiences on which to build a rewarding career. We’re a firm that encourages you to be yourself, values your contribution, and inspires you to act as a role model, always focused on doing the right thing for each other, our clients, and our communities.
This sets out all the different ways you’ll be rewarded at KPMG MBS. Among other things, you can benefit from honest conversations about your career as well as a range of other rewards. In all these ways and more, we have created an environment that can bring out the best in you.
#Bethechange and #makethechange. Join our talented, successful team and make the leap into the future.
For this exciting opportunity we have put together a great package that combines a competitive salary with a bundle of extras including allowances, business travel allowances, certifications to support you in your career growth, private insurance, and medical insurance for you and your family.
Don’t worry, we know that relocation can be a challenge, which is why we have an extremely supportive onboarding team to help you throughout this process! - We provide relocation support for you and your family. We’re looking forward to meeting you and seeing you grow.