Trust In Soda

Lead Machine Learning Engineer

Job description

    München (81675), Bayern
    Posting date:
    09 Sep 2021
    Job Type:

Role: Lead Machine Learning Engineer
Location: Munich
Salary: €95,000 - €100,000

For our E-Commerce Client specialising in the Automotive Industry we are hiring a Lead Machine Learning Engineer to shape the company's Data Science & Technology Platform to exceed customer experience.
Positioned uniquely between the Data Engineering and Data Science team, the Lead Machine Learning Engineer will play a pivotal role to bring together data infrastructure with machine learning capabilities. You will have a direct impact on customers by building and refining services that are at the foundation of the Data Landscape.
The ideal candidate will have big data experience and will be enthusiastic in delivering optimal user experience. You will also have good knowledge in Data Engineering and Data Science so as to seamlessly collaborate with the two teams that you will be working with to ensure the adoption of priority projects and their ultimate success.

    Design and Oversee the data landscape in close collaboration with your team , ensuring reliability, efficiency and real time processing.
    Collaborate with Tech and Engineering Leads to incorporating novel solutions into the existing system architecture
    Come up with robust solutions to store, ingest, process and analyze high volumes of data from different sources
    Collaborate with your team on the delivery and transformation data to improve company data models
    With your consultative and coaching mindset, support data stakeholders in a cross-functional and dynamic working environment.
    Undertake end-to-end ownership for projects, from data processing, to training, evaluating, to deploying and monitoring
    Deep understanding of business needs and objectives and translate them into Machine Learning solutions with KPI oversight
    Monitor, Automate and Validate data strategies and ML models


    BSc or MSc in Computer Science, Machine Learning or relevant subject along with 5+ years of relevant work experience
    Hands on industrial experience in AWS or other cloud-based platform
    Good knowledge of Big Data and its best practices.
    Proficiency in Python , Scala, SQL and / or Java
    Hands on experience building ETL pipelines
    Solid experience in data modeling and resilient engineering
    Experience with data science and ML libraries and first hand experience in? deploying ,? maintaining , and? updating? models in production.
    Passionate about sharing your knowledge with the rest of the team and working in great collaboration.

In addition if you have experience in large-scale projects where you had to communicate with multiple stakeholders, plus a familiarity of complex software systems, microservice architecture and real time processing as well as Clean Code, Test Driven Development or Pair Programming - this would help you stand out amongst other applicants.

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