Állás részletei
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Cég neve
McKinsey & Company, Inc.Hungary Magyarországi Fióktelepe
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Munkavégzés helye
Budapest -
Munkaidő, foglalkoztatás jellege
- Teljes munkaidő
- Általános munkarend
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Elvárt technológiák
- CLOUD AWS AZURE PYTHON GIT TROUBLESHOOTING
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Elvárások
- Nem kell nyelvtudás
- 3-5 év tapasztalat
- Középiskola
Állás elmentve
A hirdetést eltávolítottuk a mentett állásai közül.
Állás leírása
Responsibilities
Designing predictive models
Conducting large-scale experiments
Uncovering insights that inform decision-making
Defining and developing ontologies and knowledge graphs
Establishing data standards and maintaining data quality
Operationalizing models and graph services at scale
Delivering and scaling AI solutions embedded into cross-functional teams
Deploying assets on client service teams and refining them
Contributing to the development of a generative AI product
Conducting hands-on experiments and deploying production pipelines leveraging generative models
Model training, fine-tuning, evaluation, and iteration
Deploying solutions across cloud environments (AWS, Azure, GCP)
Troubleshooting and resolving technical issues
Developing and supporting customizations for client deployments
Providing technical guidance on configuration and issue resolution
Improving pipelines, tooling, and engineering standards
Supporting ongoing product development when not assigned to active deployments
Conducting large-scale experiments
Uncovering insights that inform decision-making
Defining and developing ontologies and knowledge graphs
Establishing data standards and maintaining data quality
Operationalizing models and graph services at scale
Delivering and scaling AI solutions embedded into cross-functional teams
Deploying assets on client service teams and refining them
Contributing to the development of a generative AI product
Conducting hands-on experiments and deploying production pipelines leveraging generative models
Model training, fine-tuning, evaluation, and iteration
Deploying solutions across cloud environments (AWS, Azure, GCP)
Troubleshooting and resolving technical issues
Developing and supporting customizations for client deployments
Providing technical guidance on configuration and issue resolution
Improving pipelines, tooling, and engineering standards
Supporting ongoing product development when not assigned to active deployments
Requirements
3+ years of experience as a Data Scientist; previous enterprise platform experience preferred
Deep theoretical and practical knowledge of NLP, Transformers, LLMs, and Generative AI
Experience with OpenAI’s GPT suite, including multimodal LLMs: GPT4V, GPT4o
Theoretical understanding of leveraging LLMs to build classification models, re-rankers, and recommendation systems
Strong programming skills in Python with best engineering practices
Experience managing a Git repository with effective version control and clean branching strategies
Experience with knowledge graphs
Deep theoretical and practical knowledge of NLP, Transformers, LLMs, and Generative AI
Experience with OpenAI’s GPT suite, including multimodal LLMs: GPT4V, GPT4o
Theoretical understanding of leveraging LLMs to build classification models, re-rankers, and recommendation systems
Strong programming skills in Python with best engineering practices
Experience managing a Git repository with effective version control and clean branching strategies
Experience with knowledge graphs
What we offer
Continuous learning with structured programs and apprenticeship culture
A voice that matters from day one with opportunities to contribute ideas and solutions
Global community with colleagues across 65+ countries and over 100 nationalities
World-class benefits including competitive salary and comprehensive benefits package
A voice that matters from day one with opportunities to contribute ideas and solutions
Global community with colleagues across 65+ countries and over 100 nationalities
World-class benefits including competitive salary and comprehensive benefits package
Company info
McKinsey & Company is a global management consulting firm that serves leading businesses, governments, non-governmental organizations, and not-for-profits. Founded in 1926, McKinsey operates in more than 65 countries and employs over 30,000 professionals. The firm is committed to helping organizations improve performance and achieve lasting impact through data-driven insights, innovative solutions, and leadership development.
How to apply
You can submit your application on the company's website, which you can access by clicking the „Apply on company page“ button.
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