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Job at KPMG:

Senior Product Manager - Machine Learning Expert

Reference nr.: AV-SENI-0715

KPMG is one of the world’s leading professional firms providing audit, tax and advisory services, with 236,000 employees in 144 countries. We have already worked with 72 of Hungary’s Top 100 companies, and we’re not stopping there! Whatever you are interested in around the world, we can really help you get there. In a dynamic environment with intelligent people you can learn how to use your knowledge well. Are you wondering about how? Read our job advertisement and learn about what you can expect in reality if you decide to join us. It is clear for us that your ambition can drive us to our future together.

#poweredbyyou

We help our clients with industry-specific services to create value and manage risks. Our wide-ranging client portfolio enables you to gain real-life experience in industries such as telecommunications, energy, IT, finance or sports, and to work on ground-breaking projects.


KPMG is seeking a talented Senior Product Manager with a focus on Machine Learning to join our team. As a Senior Product Manager, you will be responsible for the strategic development and integration of machine learning models, particularly turning unstructured data into a structured format utilizing relevant models including but not exclusively generative AI models like Large Language Models (LLMs), and other, non-generative languages and computer vision models or API services. You will collaborate closely with developers, project managers, data scientists, and stakeholders to ensure our products meet client needs and drive business value.  


This is the perfect opportunity for you, if you have…

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Business Administration, Management, or a related field
  • At least 5 years of experience in product management, preferably with a focus on data science or machine learning products
  • Strong understanding of machine learning concepts and technologies, including natural languages processing, including but not limited to LLMs
  • Proven experience in managing end-to-end product development lifecycle.
  • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
  • Experience with agile methodologies and project management tools Strong analytical skills and ability to make data-driven decisions.
  • Fluent in English and Hungarian, with excellent client-facing communication skills Experience with cloud platforms (Azure, GCP, AWS) and ML lifecycle management tools (e.g., MLFlow).

You will have an advantage in the application if you have...

  • Hands-on experience with generative AI models and differentiating between various model types for solutions.
  • Experience with API development using Flask, FastAPI, and RestAPI.

As part of our team, we will count on you to…

  • Define and drive the product vision and strategy for machine learning-based solutions.
  • Lead the product lifecycle from ideation through to development, launch, and optimization.
  • Conduct market research and competitor analysis to identify opportunities and define product requirements.
  • Collaborate with cross-functional teams, including software engineering, project management and data science to develop and deliver high-quality products.
  • Develop detailed product roadmaps and prioritize features to align with business goals and client needs.
  • Manage stakeholder expectations and communicate product updates, vision, and strategy effectively.
  • Oversee the development and implementation of machine learning models in corporate applications.
  • Ensure product performance through regular analysis and iteration based on user feedback and market trends.
  • Act as a subject matter expert on machine learning within the product team and provide guidance on best practices.
  • Lead customer-facing engagements to gather feedback, understand needs, and demonstrate product capabilities.

We’ll provide you with the opportunity to…

  • Opportunity to work on cutting-edge projects and technologies.
  • Collaborative and supportive work environment.
  • Professional growth and development through mentoring and training programs.
  • Flexible working schedule with hybrid office presence policy.
  • Competitive salary package with fringe benefits and health insurance (Medicover).  

At KPMG we are living our values every day: we do what is right, we never stop learning and improving, we think and act boldly. We respect each other and draw strength from our differences, and we do what matters to build a better world for the next generation.

Apply easily and experience success together.

KPMG is an equal opportunity employer and values diversity in its workforce. We encourage applications from all qualified individuals and willing to accommodate applicants’ disability-related needs. Should you have any questions or special need please let us know under the Contacts menu button.

Basic information

  • Location: Hibrid
  • Professional field: Advisory
  • Experience:
    • Experienced
  • Working hours: Full time

Why should you choose KPMG?

Personal and professional growth

Develop your skills and know-how through an average of 64 hours of professional and individual training on offer each year.

You’ll receive continuous feedback on your work and performance from your mentor and performance manager, to be able to grow continuously.

Cooperative, motivated team

Team building, Christmas parties, inspirational events, company-wide activities – online or offline, You are the focus and you can be yourself.

Your mental and physical health are important to us. We support our colleagues’ sports activities, including team sports and running competitions.

Real and relevant knowledge

Thanks to professional trainings and knowledge gained in various industries, you can experience what it is like when the leaders of the largest companies turn to you directly for professional help.

You can use your professional knowledge not only in client projects, but also in pro-bono and volunteer activities.

Stable local basis, international background

Performance assessment on an international basis, local mentors, promotions and salary increases - they're not just promises, it's all possible in your first year.

Have a go at KPMG member firms abroad through a secondment, which can last from a few months to a few years.