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What you will do
- Collaborating with business users to understand their key priorities and use cases; proposing and developing solutions using data science and/or Generative AI techniques to drive business value
- Researching emerging AI/data science techniques and identifying relevant ones for EDB to explore and adopt (e.g. Agentic, LLM, Predictive, Fraud/Anomaly Detection, Text Analytics, Customer Segmentation)
- Data wrangling & analysis – preprocessing, cleaning and feature engineering
- Supporting the daily operations and maintenance of deployed data science models and products, including Assistants on PAIR / AIBots
- Developing backend APIs and services to support AI model deployment and integration
- Building frontend interfaces and user experiences for AI-powered applications
- Documenting changes to existing products
- Reviewing and implementing fixes for reported security vulnerabilities;
Nice to have
- Proficient in modern programming languages (e.g. typescript, C#)
Experience in cloud platform and services preferably in AWSExperience in Docker/KubernetesExperience with web frameworks and full-stack development, including backend frameworks (e.g. FastAPI, Flask, Express.js) and RESTful API development, and frontend technologies (e.g. React, Vue.js, HTML/CSS, TypeScript)Experience with LLM frameworks (e.g. LangChain, LlamaIndex, Hugging Face Transformers)Knowledge of vector databases and embedding techniques (e.g. Pinecone, Chroma, FAISS)Understanding of AI agent frameworks and multi-agent systemsStrong presentation skills and ability to explain technical concepts clearly to a non-technical audienceProficient in statistical software tools (e.g. R, SAS)Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice.
To perform this role, you must have/ be
- Minimum of Bachelor’s Degree in Computer Science, Computer Engineering, Machine Learning / Data Science / AI or related disciplines;
- Able to understand and apply a range of AI/ML techniques for regression and classification
- Familiar with popular python packages ( e.g. pandas, matplotlib, scikit-learn, XGBoost, NLTK, spaCy )
- Understanding of LLM concepts (e.g. context windows, embeddings, chunking, token management) and architectures (e.g. RAG)
- Experience with context engineering techniques and prompt optimization strategies
- Proficient in git, SQL
- Proficient in Business Intelligence tools (e.g. Tableau, Qlik, MS PowerBI, Microstrategy)
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Source: the AvePoint Greenhouse job board. We last checked this job 8 h ago. We first saw it 4 days ago. A job on a job board does not always mean that the team interviews people now. We found this job board in a public list. We did not yet compare it with the careers page of the company.
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