Állás részletei
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Cég neve
MSCI Kft.
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Munkavégzés helye
Budapest -
Egyéb juttatások
- Cafeteria
- Nyugdíjpénztár
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Munkaidő, foglalkoztatás jellege
- Alkalmazotti jogviszony
- Általános munkarend
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Elvárások
- Angol középfok
- Nem kell tapasztalat
- Főiskola
Állás elmentve
A hirdetést eltávolítottuk a mentett állásai közül.
Állás leírása
Responsibilities
Development of novel data extraction tools and workflows
Co-lead R&D projects for information extraction from structured, semi-structured, and unstructured data
Design, prototype, and evaluate scalable models including LLMs for asset detection, attribute inference, and classification
Implementation of robust QA and data-validation processes
Experimentation with state-of-the-art ML techniques including LLMs, RAG pipelines, computer vision, geospatial ML, anomaly detection, weak supervision, multimodal models
Collaboration with engineers to deploy systems into production
Co-lead R&D projects for information extraction from structured, semi-structured, and unstructured data
Design, prototype, and evaluate scalable models including LLMs for asset detection, attribute inference, and classification
Implementation of robust QA and data-validation processes
Experimentation with state-of-the-art ML techniques including LLMs, RAG pipelines, computer vision, geospatial ML, anomaly detection, weak supervision, multimodal models
Collaboration with engineers to deploy systems into production
Requirements
Strong background in Machine Learning and AI
Hands-on experience with LLMs, transformers, embeddings, and deep learning frameworks (PyTorch, TensorFlow, JAX)
Expertise in Python and common data-science libraries (Pandas, NumPy, Scikit-learn)
Experience building data-extraction pipelines using NLP, vision models, information retrieval, or weak supervision
Strong understanding of data quality workflows, anomaly detection, and validation frameworks
PhD or MSc degree in Computer Science, Data Science, Machine Learning, Geospatial Science, Environmental Science, or related field, or equivalent hands-on experience
Hands-on experience with LLMs, transformers, embeddings, and deep learning frameworks (PyTorch, TensorFlow, JAX)
Expertise in Python and common data-science libraries (Pandas, NumPy, Scikit-learn)
Experience building data-extraction pipelines using NLP, vision models, information retrieval, or weak supervision
Strong understanding of data quality workflows, anomaly detection, and validation frameworks
PhD or MSc degree in Computer Science, Data Science, Machine Learning, Geospatial Science, Environmental Science, or related field, or equivalent hands-on experience
Nice-to-have
Experience with geospatial data using tools such as GeoPandas, GDAL, Rasterio, Shapely, or PostGIS, Hands-on experience in cloud environments (GCP, AWS, or Azure) and cloud-native geospatial workflows
What we offer
Transparent compensation schemes and comprehensive employee benefits tailored to location
Flexible working arrangements, advanced technology, and collaborative workspaces
Access to global network of talented colleagues
Global Orientation program and access to Learning@MSCI platform, LinkedIn Learning Pro, and tailored learning opportunities
Multi-directional career paths with professional growth and development opportunities
Inclusive environment with Employee Resource Groups
Competitive benefit package including voluntary pension fund contribution, life, accident and healthcare insurance, short-term disability/sickness benefit, yearly medical screenings, paternity leave, glasses contribution, travel reimbursement
Cafeteria benefits including Széchenyi Recreation Card/SZÉP Card, tax free nursery/kindergarten benefit, voluntary healthcare fund contribution
Flexible working arrangements, advanced technology, and collaborative workspaces
Access to global network of talented colleagues
Global Orientation program and access to Learning@MSCI platform, LinkedIn Learning Pro, and tailored learning opportunities
Multi-directional career paths with professional growth and development opportunities
Inclusive environment with Employee Resource Groups
Competitive benefit package including voluntary pension fund contribution, life, accident and healthcare insurance, short-term disability/sickness benefit, yearly medical screenings, paternity leave, glasses contribution, travel reimbursement
Cafeteria benefits including Széchenyi Recreation Card/SZÉP Card, tax free nursery/kindergarten benefit, voluntary healthcare fund contribution
Company info
MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process.
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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