Join Our Team as a Senior Machine Learning Engineer
KPMG Hungary is seeking a talented Senior Machine Learning Engineer to join our dynamic team in Budapest. As a leading professional services firm, we provide audit, tax, and advisory services to a wide range of clients. This role offers the opportunity to work on cutting-edge projects and collaborate with a team of experts in the field.
Key Responsibilities
As a Senior Machine Learning Engineer, you will be responsible for:
- Designing and implementing software solutions that incorporate various types of machine learning models.
- Integrating Natural Language Processing (NLP) models into corporate applications and experimenting with business-related uses of Large Language Models (LLMs).
- Collaborating closely with developers, project managers, data scientists, and stakeholders to ensure our products meet client needs.
- Leading the completion of machine learning projects with an end-to-end product-oriented mindset.
- Communicating openly with clients to understand their business goals and translating them into technical specifications.
- Working with cross-functional teams to incorporate AI/ML solutions into products and applications.
- Encouraging a culture of ongoing learning and creativity within the team by providing mentorship and thought leadership.
- Staying updated with developments in AI/ML and software development trends to ensure our solutions remain state-of-the-art.
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
- At least 5 years of experience in Data Science or related fields.
- Strong proficiency in Python and familiarity with software development methods and version control tools such as Git.
- Experience with deep learning models and related Python packages, such as transformers or PyTorch.
- Knowledge of at least one cloud platform (Microsoft Azure, GCP, or AWS).
- Experience with ML lifecycle management and deploying models into production environments (e.g., MLFlow).
- Experience with web frameworks (e.g., FastAPI, Flask).
- Fluent in English and Hungarian, with excellent communication skills and comfort in client-facing roles.
Preferred Qualifications
- Experience with Microsoft Azure and its ML capabilities.
- Experience in developing NLP models.
- Hands-on experience with generative AI models, notably large language models, and the ability to differentiate between the need for an LLM or a more traditional model as a solution.
What We Offer
- Participation in diverse projects with hands-on experience in the most up-to-date technologies.
- A collaborative work environment with cohesive teams that support each other to achieve common goals.
- Opportunities for professional and personal growth through mentoring and various learning opportunities, including Coursera and in-house workshops.
- A flexible working schedule with a hybrid office presence policy, respecting work/life balance.
- A competitive salary package with fringe benefits and health insurance (Medicover).
Join us at KPMG Hungary and be part of a team that is driving innovation and excellence in the field of machine learning. Apply today to take the next step in your career!
Benefits Extracted with AI
- Medical insurance
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