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    Machine Learning Engineer - Berlin, Deutschland - Kodex AI

    Kodex AI
    Kodex AI Berlin, Deutschland

    vor 2 Wochen

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    Beschreibung

    Kodex AI is at the cutting-edge of AI technology in the financial industry. We are a VC-funded startup with a vision to revolutionize the financial industry by cutting out tedious manual tasks by up to 90%. We are building an LLM-powered co-pilot that is not only versatile and intelligent but also attuned to the precise needs of the industry.

    Tasks


    We are seeking an experienced Berlin-based Machine Learning Engineer who is enthusiastic about Large Language Models (LLMs) and has a proven track record of producing well-structured, scalable, production-ready code. The ideal candidate will bring a combination of strong technical expertise and a knack for practical solutions.

    You will be working close to the CTO and our compact high-performance team of software developers and data scientists. Your role will be at the intersection of our data science and backend teams. You will be responsible for designing and implementing complex and creative solutions that solve our users' problems by applying LLMs in many different ways. Additionally, you will pair up with our backend team when needed to help deliver key features of our software quickly.

    Our evolving tech stack:

    • python, fastAPI, langchain
    • JavaScript/Typescript, React
    • MySQL, Pinecone
    • Google Cloud, Firebase, Docker, github

    Requirements

    • 3+ years of professional experience in software/ML engineering, preferrably with python
    • Experience with most of our tech stack mentioned above
    • Some experience with LLMs and software/ML engineering around LLMs
    • Ideally experience with web development and B2B SaaS solutions
    • Ideally experience working in early-stage startups
    • Great problem-solving skills, pragmatic mindset and readiness to iterate quickly
    • Willingness and ability to learn new technologies
    • Good English communication and ability to work efficiently with other developers

    Benefits


    You'll join a forward-thinking team that's driven by a passion for disrupting the status quo. We offer a competitive salary, flexible working conditions, and an attractive benefits package, including an Urban Sports Club membership.

    We have a no-bullshit company culture and believe in open communication, continuous improvement through regular feedback and building trust through face-to-face interaction. We work from our beautiful, well-equipped office in the heart of Berlin-Kreuzberg, and from home.

    Join us as we shape the future of the financial industry, using AI to create a smarter world with less tedious work. If you're an LLM enthusiast who loves pushing the boundaries of what's possible, we want to hear from you

    Kodex AI is proud to be an equal opportunity employer. We firmly believe that diversity is a strength, not an obligation. We actively encourage applications from individuals of all backgrounds, cultures, and experiences. We warmly welcome applications from candidates identifying as disabled, queer, people of color, people with a migration background, as well as anyone who identifies as part of a historically marginalized or underrepresented group. We strongly believe that our team should reflect the diverse society that we are part of here in Germany, and we are continually striving to make this a reality. We are eager to listen, learn, and adapt in our quest to create a truly inclusive work environment.

    Our selection process:

    1. CV and application review
    2. A first screening call including a simple coding challenge to see if it could be a fit (30 min)
    3. A technical interview with 2 of our developers including technical questions and a deep-dive into your previous experience min)
    4. A final personal fit call with a non-technical member of the team (30 min)
    5. We move fast and extend a job offer as soon as possible after one reference call, so you can quickly join us and hit the ground running. Welcome to the team


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