Generative AI Engineer - KPMG Curve x5
Leeds based (Hybrid – 2 days per week in office) Experienced professional (kpmgcareers.As a fast-growing digital delivery capability within KPMG, we always stay ahead of the curve by keeping up with ever-evolving tech practices. Whether that's unlocking the power of AI, coding for the future of the planet or everything in-between.
You can stay technically focused and carry on improving in your favourite tech field. Other benefits include a learning allowance (so you can control your own growth) and paid overtime – prioritising the things that matter most to you. We take our work-life balance seriously and will make sure you get time back if you’ve been working on anything heavy. AI Solution Development:
~ Assist in the design and development of generative AI models and solutions for clients across various industries.
Work with senior engineers to implement AI models into business processes, ensuring the solutions align with client needs and objectives.
~ Participate in the creation of Proof of Concepts (PoCs) and Minimal Viable Products (MVPs) to demonstrate AI capabilities.
Client Project Delivery:
Support the delivery of AI solutions for client projects, ensuring timely execution and high-quality outcomes.
Collaborate with cross-functional teams to understand client requirements, translate them into technical specifications, and help drive the successful implementation of AI models.
Contribute to client presentations and demos, showcasing AI capabilities and how they address specific business challenges.
Coding & Implementation:
Write, optimize, and implement AI code for model development, integrating generative AI models into scalable production environments.
Use tools such as TensorFlow, PyTorch, and cloud platforms like Databricks and Snowflake to build and deploy AI solutions.
Data Management & Integration:
Work with data engineering teams to ensure smooth data collection, management, and integration for AI model development.
Help integrate AI models with existing data pipelines and systems, ensuring data is processed and utilized effectively for AI model training and deployment.
Ensure data quality and adhere to best practices for data governance and privacy when handling sensitive information.
Practise Building
Work closely with business teams and clients to demonstrate the potential of AI and assess its feasibility for solving business challenges.
Lead feasibility studies, develop data strategies, support RFP responses, and demo to prospective clients.
Data Governance & Security
Ensure compliance with KPMG’s data governance policies and industry regulations regarding AI models and data processing.
Implement best practices in data privacy, security, and ethical AI, particularly when handling sensitive data.
BSc in Computer Science, Engineering, Statistics, or a related field with a passion for all things AI.
Proficient in coding and optimizing generative AI models, particularly in the areas of prompt engineering and LLMs. Familiarity with AI/ML algorithms and model deployment in cloud environments.
~ A passion for all things AI, whether that’s attending events, hackathons, reading or in practical ap[plications.
Proficient in coding and optimizing generative AI models, particularly in the areas of prompt engineering and LLMs.
Familiarity with AI/ML algorithms and model deployment in cloud environments. To discuss this or wider Technology roles with our recruitment team, all you need to do is apply, create a profile, upload your CV and begin to make your mark with KPMG.
This position will be based from our Leeds offices, with 2 days per week in the office
We can potentially facilitate flexible hours, and part-time options. Technology and Engineering at KPMG :
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