FULL-STACK DEVELOPER (m/f/d)

TN Germany; Berlin; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading company in AI/Data Analytics is seeking a Full-Stack Developer with expertise in AWS, Azure, and Python. The role involves developing innovative solutions, integrating machine learning models, and collaborating in a fast-paced startup environment. If you are creative and have strong programming skills, we want to hear from you!

Qualifikationen

• 5+ years of experience in Full-Stack Development.
• Expertise in machine learning and backend services.

Aufgaben

• Develop, deploy, and integrate microservices and machine learning models.
• Collaborate with data scientists and contribute to architectural decisions.

Kenntnisse

AWS

Azure

TypeScript

React

Docker

Kubernetes

Python

Postgres

Tools

Git

llamaindex

pinecone

langchain

Jobbeschreibung

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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 enable decision-makers to make optimal decisions 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 innovative solutions.

You will be responsible for developing, deploying, and integrating microservices, including machine learning models based on Python, LLMs, and statistical algorithms.

Job Highlights

● We seek a highly motivated Full-Stack Developer with 5+ years of experience.

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

● Responsibilities include developing backend services, integrating machine learning models, and collaborating in a fast-paced startup environment.

● We value creative individuals with strong programming skills who can understand complex business and architectural problems and develop effective solutions.

● A deep understanding of general engineering principles is essential.

● 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 solutions.

● Design and implement data processing pipelines.

● Utilize Git for version control and collaboration.

● Contribute to architectural decisions and technical solutions.

● Knowledge of llamaindex, pinecone, langchain, and other frameworks related to LLMs is preferred.

We look forward to receiving your application and meeting you in an initial interview.