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
- PYTHON CLOUD AWS GIT AZURE TROUBLESHOOTING
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Elvárások
- Nem kell nyelvtudás
- 3-5 év tapasztalat
- Középiskola
Kis türelmet...
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 to connect and contextualize enterprise data
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 those assets
Contributing to the development of a generative AI product with firm-wide impact
Conducting hands-on experiments and deploying production pipelines leveraging generative models such as GPT-like systems
Model training, fine-tuning, evaluation, and iteration
Deploying solutions across various cloud environments including AWS, Azure, and 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
Conducting large-scale experiments
Uncovering insights that inform decision-making
Defining and developing ontologies and knowledge graphs to connect and contextualize enterprise data
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 those assets
Contributing to the development of a generative AI product with firm-wide impact
Conducting hands-on experiments and deploying production pipelines leveraging generative models such as GPT-like systems
Model training, fine-tuning, evaluation, and iteration
Deploying solutions across various cloud environments including AWS, Azure, and 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
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 with valued ideas and contributions from day one
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 with valued ideas and contributions from day one
Global community with colleagues across 65+ countries and over 100 nationalities
World-class benefits including competitive salary and comprehensive benefits package
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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