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FULL-STACK DEVELOPER (m/f/d)

Berlin
General
SeniorFull timeRelocation
Languages
English - Advanced
Skills
React.jsTypeScriptAWSAzureKubernetesData SciencePythonMachine Learning

Description

TLDR; If you love to develop, deploy and integrate ML services, have a few years of work experience and want to create game changing solutions for our AI/Data Analytics platform - hit apply

At Scavenger, we are developing AI tools that allow decision-makers to make the best possible decision under any circumstances by transforming raw data into actionable insights within seconds. After our successful funding round, we are looking for a Full-Stack Developer to create game-changing solutions.

You will be responsible for the development, deployment and integration of micro services, including machine learning models based on python, LLMs and statistical algorithms.


Job Highlights

● We are seeking a highly motivated Full-Stack Developer with 5+ years of experience to join our team.

● The ideal candidate should have expertise in AWS, Azure, TypeScript, React, Docker, Kubernetes, Python, Postgres, along with experience in the Machine Learning domain.

● The role involves developing backend services, integrating machine learning models, and collaborating in a fast-paced startup environment.

● We are looking for creative individuals with strong programming skills, who can understand complex business and architectural problems and develop solutions.

● A deep understanding of general engineering principles


Job description

● Collaborate with data scientists to integrate machine learning models

● Develop and maintain backend services and APIs

● Leverage AWS and Azure services for scalable and reliable solution

● Design and implement data processing pipelines

● Utilize Git for version control and collaboration

● Contribute to architectural decisions and technical solutions

● Knowledge in llamaindex, pinecone, langchain and other frameworks in the space of LLMs


We are looking forward to receiving your application and meeting you in a first interview

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