Állás részletei
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Cég neve
Diligent Governance Hungary Kft.
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Munkavégzés helye
Hibrid • Budapest -
Munkaidő, foglalkoztatás jellege
- Teljes munkaidő
- Általános munkarend
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Elvárt technológiák
- AWS MACHINE LEARNING PYTHON ACCESS PANDAS .C.
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Elvárások
- Nem kell nyelvtudás
- 5-10 év tapasztalat
- Főiskola
Kis türelmet...
Állás elmentve
A hirdetést eltávolítottuk a mentett állásai közül.
Állás leírása
Responsibilities
Design and develop machine learning models and algorithms for various applications.
Test and evaluate the performance of these models and algorithms.
Collaborate with the applied science teams to develop and implement NLP solutions for processing large document sets.
Develop and support semantic search, structured retrieval, and RAG use cases across various Diligent products.
Utilize LLMs, knowledge graphs, traditional NLP methods, and custom models to provide document set comprehension capabilities and facilitate insight extraction.
Implement and fine-tune models using Python and PyTorch, leveraging AWS infrastructure.
Test and evaluate the performance of these models and algorithms.
Collaborate with the applied science teams to develop and implement NLP solutions for processing large document sets.
Develop and support semantic search, structured retrieval, and RAG use cases across various Diligent products.
Utilize LLMs, knowledge graphs, traditional NLP methods, and custom models to provide document set comprehension capabilities and facilitate insight extraction.
Implement and fine-tune models using Python and PyTorch, leveraging AWS infrastructure.
Requirements
5+ years of relevant experience.
Designing and fine-tuning structured, multi-level agentic RAG solutions, backed by diverse sources (cross-tenant and tenant-specific, flat or hierarchical), utilizing collaborative and supervisor agents with tooling access.
Establishing RAG evaluation frameworks and continuously monitoring metrics, with recommendations for pipeline optimization (e.g., chunking strategies including standard, hierarchical, semantic, sizing, etc.)
Proficiency in Python, NumPy, scikit-learn, Pandas, NLTK, spaCy, PyTorch, or similar.
Experience with model deployment and scaling.
Strong foundational knowledge in NLP, machine learning, and statistical modeling.
Proficiency in building ML/AI pipelines and relevant tools such as MLFlow, AWS SageMaker, or similar.
Bachelor’s degree in Computer Science, Machine Learning, Mathematics, or a related field.
Designing and fine-tuning structured, multi-level agentic RAG solutions, backed by diverse sources (cross-tenant and tenant-specific, flat or hierarchical), utilizing collaborative and supervisor agents with tooling access.
Establishing RAG evaluation frameworks and continuously monitoring metrics, with recommendations for pipeline optimization (e.g., chunking strategies including standard, hierarchical, semantic, sizing, etc.)
Proficiency in Python, NumPy, scikit-learn, Pandas, NLTK, spaCy, PyTorch, or similar.
Experience with model deployment and scaling.
Strong foundational knowledge in NLP, machine learning, and statistical modeling.
Proficiency in building ML/AI pipelines and relevant tools such as MLFlow, AWS SageMaker, or similar.
Bachelor’s degree in Computer Science, Machine Learning, Mathematics, or a related field.
Nice-to-have
Preferred Experience/Skills: Hands-on experience with LLMs including prompt engineering, fine-tuning, model evaluation, and building RAG-based functionality., Experience with semantic search and information retrieval systems., Familiarity with reinforcement learning methods., Master’s or PhD in Computer Science, Machine Learning, Mathematics, or a related field.
What we offer
Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients.
We care about our people. Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few.
We have teams all over the world. We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney.
Diversity is important to us. Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding.
Hybrid work model with expectation to work onsite at least 50% of the time if within commuting distance to an office location.
We care about our people. Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few.
We have teams all over the world. We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney.
Diversity is important to us. Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding.
Hybrid work model with expectation to work onsite at least 50% of the time if within commuting distance to an office location.
Company info
Diligent is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 700,000 board members to clarify risk and elevate governance. The Diligent One Platform gives practitioners, the C-Suite and the board a consolidated view of their entire GRC practice so they can more effectively manage risk, build greater resilience and make better decisions, faster.
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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