Machine Learning Engineer

vor 2 Wochen

Hamburg, Hamburg, Deutschland LAIC Intelligence Vollzeit
With the LAIC Advisor, which was developed in-house and based on artificial intelligence, LAIC offers digital and risk-optimized investment solutions for portfolio optimization. Our team of experienced capital market experts, highly specialized software developers and quantitative analysts has developed the transparent, highly technical investment process. This allows us to efficiently process the increasing amount of data and information on the capital markets and translate it into superior investment decisions for our customers.
Based in Hamburg, LAIC is part of LAIQON AG, founded in 1995, an innovative, listed financial house that generates returns for its customers and partners with sustainable and digital investment solutions. To provide support in Hamburg, we are looking for a full-time Machine Learning Engineer (m/f/d)
as soon as possible. Your tasks As a Machine Learning Engineer (m/f/d), you will support the team with the following activities, among others:
  • Development, implementation and optimization of machine learning models
  • Data analysis and preprocessing to identify relevant features
  • Collaborate with data scientists and engineers to integrate ML models into production environments
  • Conducting A/B tests and measuring model performance
  • Ongoing education and research on current ML technologies and techniques
  • Presentation of the results and findings to specialists and managers Work closely with other departments to understand their needs and customize ML solutions
Your profile
  • Completed studies in computer science, statistics, mathematics or a related field
  • In-depth knowledge of Python
  • Experience with machine learning frameworks such as TensorFlow, Keras or PyTorch or even Qiskit
  • A good understanding of statistics and mathematical models
  • Ability to work in a team, analytical thinking and an independent way of working Good communication skills, both verbal and written
Additionally desirable are:
  • Experience with cloud services such as AWS, Google Cloud or Azure
  • Knowledge of big data technologies such as Spark or Hadoop
  • Knowledge of databases and SQL Publications or contributions in relevant ML conferences or journals
our range
  • Discover an innovative corporate culture, room for personal responsibility, individual creative freedom and quick decisions
  • We attach great importance to sustainable and responsible actions
  • Flexible working hours, attractive salary, possibility of mobile working and support for company pension schemes
  • Targeted training and continuing education offerings
  • Modern, innovative working environment in a very central and lucrative location at all of our locations as well as the latest mobile work equipment
  • Subsidy for the Deutschlandticket for comfortable and environmentally friendly commuting
  • Meal allowance (lunchit) for the daily lunch break, free drinks (coffee, water, tea) and free fruit
If this profile applies to you, you can look forward to a versatile and varied workplace. We are looking forward for your online application .

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