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Work setup: Unconfirmed
Employment: Unconfirmed

Education & alternatives

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

Tools in this posting

Python
R
TypeScript
Power BI
Tableau
Fastapi
Flask
Matplotlib
pandas
React
Xgboost
SAS
SQL
C#
AWS
Docker
Kubernetes
scikit-learn
Huggingface
Transformers

Source

- 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)

- Strong presentation skills and ability to explain technical concepts clearly to a non-technical audience - Proficient 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.

Bonus skillsets which will allow you to excel in this role include: - Proficient in modern programming languages (e.g. typescript, C#) - Experience in cloud platform and services preferably in AWS

- Experience in Docker/Kubernetes - Experience 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)

- Proficient in git, SQL - Proficient in Business Intelligence tools (e.g. Tableau, Qlik, MS PowerBI, Microstrategy) Bonus skillsets which will allow you to excel in this role include:

- 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)

- Proficient in modern programming languages (e.g. typescript, C#) - Experience in cloud platform and services preferably in AWS - Experience in Docker/Kubernetes

- Experience in cloud platform and services preferably in AWS - Experience in Docker/Kubernetes - Experience 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 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)

Job description

View original posting ↗

Your roles and responsibilities include:

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;

JOB REQUIREMENTS

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)

Bonus skillsets which will allow you to excel in this role include:

Proficient in modern programming languages (e.g. typescript, C#)
Experience in cloud platform and services preferably in AWS
Experience in Docker/Kubernetes
Experience 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 systems
Strong presentation skills and ability to explain technical concepts clearly to a non-technical audience
Proficient 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.