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Requirements:
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
- Strong expertise in Python, with a focus on FastAPI, Pandas, and NumPy.
- Experience with Retrieval Augmented Generation (RAG).
- Proficiency in Prompt Engineering.
- Knowledge of vector databases and embedding models.
- Familiarity with frameworks such as LangChain, LangGraph, and LlamaIndex.
- Experience with multi-agent libraries/frameworks like CrewAI, Autogen, and Taskweave.
- Hands-on experience with Azure cloud services, including Azure Functions.
- Familiarity with other cloud platforms and their AI services is a plus, but Azure experience is mandatory.
- Understanding of data engineering concepts, including data pipelines, data integration, and data warehousing.
- Ability to work with large datasets and perform data cleaning, transformation, and manipulation.
- Experience with version control, small and regular commits, unit tests, CI/CD, packaging, and Docker.
- .NET technology stack proficiency incl. C# is a plus.
- Knowledge of AI ethics, bias mitigation, and responsible AI practices is a plus.
- Strong analytical thinking and creative problem-solving skills.
- Good communication skills for collaborating with cross-functional teams and stakeholders.
Expected start date: ASAP
Remote vs Onsite: Remote
Key Skills
Ranked by relevance
ai
cloud
c
numpy
pandas
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- Posted
- Oct 14, 2024
- Type
- Contract
- Level
- Mid-Senior
- Location
- Riga
- Company
- Cavendish Professionals
Industries
IT Services
IT Consulting
Categories
Information Technology
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