KPMG állásajánlat: Senior Product Manager - Machine Learning Expert - KPMG Karrierportál

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.

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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.