Manager

Key Responsibilities:

1. Lead AI Transformations
   • Drive large-scale generative AI transformation projects across the organization and clients, ensuring seamless adoption of AI solutions that address critical business challenges.
   • Provide AI thought leadership to business stakeholders, advising on AI strategy, roadmap, and the integration of generative AI technologies into business processes to drive value
2. Technical Leadership and Collaboration
   •  Lead a team of AI engineers and data scientists, mentoring junior team members and ensuring that best practices in AI development and deployment are followed.
   • Collaborate with cross-functional teams to design and architect robust, scalable AI systems that integrate generative AI models into complex enterprise environments.
   • Create Proof of Concept, deliver Minimal Viable Products, or fully-fledged projects, and deploy models into production.
3. Business Development & 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.
4. 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.
5. Research & Innovation
   • Stay up to date with the latest advancements in AI, ML, and LLMs, applying new methodologies to improve model performance.
   • Conduct research into new AI use cases and innovate to enhance KPMG’s offerings.
   • Publish findings and contribute to internal documentation, presenting insights at industry conferences.

Key Responsibilities:

1. Lead AI Transformations
   • Drive large-scale generative AI transformation projects across the organization and clients, ensuring seamless adoption of AI solutions that address critical business challenges.
   • Provide AI thought leadership to business stakeholders, advising on AI strategy, roadmap, and the integration of generative AI technologies into business processes to drive value
2. Technical Leadership and Collaboration
   •  Lead a team of AI engineers and data scientists, mentoring junior team members and ensuring that best practices in AI development and deployment are followed.
   • Collaborate with cross-functional teams to design and architect robust, scalable AI systems that integrate generative AI models into complex enterprise environments.
   • Create Proof of Concept, deliver Minimal Viable Products, or fully-fledged projects, and deploy models into production.
3. Business Development & 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.
4. 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.
5. Research & Innovation
   • Stay up to date with the latest advancements in AI, ML, and LLMs, applying new methodologies to improve model performance.
   • Conduct research into new AI use cases and innovate to enhance KPMG’s offerings.
   • Publish findings and contribute to internal documentation, presenting insights at industry conferences.

Qualifications & Experience:

• Educational Background:
  • BSc in Computer Science, Statistics, Engineering, or related field (MSc or PhD preferred).
  • Advanced certifications in AI/ML, cloud computing, or data engineering are advantageous.

(Additionally, if you feel you are the right fit for the listed skills and can demonstrate why you would be a good fit for the role, we are open to all backgrounds that have demonstrated commitment and progression of your skillset through personal and professional engagements. We want to continue to build out our team with the best and brightest minds in the industry, and if you feel you can contribute to our strategic goals and our clients, we would love to hear from you)

• Work Experience:
  • 10+ years in AI/ML, with expertise in developing and deploying generative AI solutions.
  • Proven experience working with foundational Large Language Models (LLMs) like GPT and BERT, and successfully driving AI transformation across industries.
  • Expertise in AI frameworks (TensorFlow, PyTorch, etc.), cloud-native solutions, and tools like Databricks and Snowflake.
  • Strong background in cloud services and scalable AI solutions in production environments.
• Skills:
  • Proficient in designing, coding, and optimizing generative AI models, including prompt engineering for LLMs like GPT and BERT.
  • Deep understanding of AI/ML algorithms, model optimization, and deploying scalable solutions in cloud environments.
  • Experience with version control (Git), Linux, Docker, and data engineering tools such as Hadoop, Spark, and Elasticsearch.
  • Strong problem-solving, team collaboration, and communication skills.

Experience Level

Mid Level