Machine Learning Engineer

Location

Berlin, Germany

Category

Senior

Employment type

Full time

Required

7+ years of experience

Your goal

Develops and implements machine learning models to automate tasks and improve productivity

We are looking for a qualified Machine Learning Engineer to develop and deploy machine learning models that solve real-world problems, leveraging data to drive insights and decision-making in various domains.

OUR PERFECT CANDIDATE

  • Experience as a Machine Learning Engineer or similar role;
  • Understanding of data structures, data modeling;
  • Knowledge of math (statistics and algorithms);
  • Knowledge of ML frameworks (TensorFLow (at least Keras) / PyTorch);
  • Knowledge of data-processing engines like ApacheSpark;
  • Most common Python libraries: NumPy, Pandas, Jupyter Notebook, pip/pipx/Anaconda, Numba, etc.;
  • MLOps: deployment and monitoring models on a production systems.

KEY QUALIFICATIONS / RESPONSIBILITIES

  • Estimate tasks provided by Project Manager (PM) or Technology Lead (TL);
  • Complete the tasks assigned by PM or TL within the estimated time;
  • Participate in the Scrum process;
  • Contribute to project development;
  • Conduct technical research;
  • Maintain accurate and up-to-date technical documentation for the project;
  • Prepare reports;
  • Communicate with customers;
  • Contribute to ongoing project improvements.

EMPLOYMENT CONDITIONS FOR THIS ROLE

A friendly team of professionals:

  • Strong technical specialists who are ready to help solve problems.

Professional development:

  • Financial and 1-to-1 meetings to discuss development plans;
  • Individual development plan;
  • Paid conferences and certifications;
  • Lectures and other events where senior specialists share their knowledge with junior and middle specialists;
  • Knowledge bases with useful information for development.

Vertical development:

  • Opportunity to grow and become a coordinator and further a Technology Lead.

Work-life advantages:

  • Flexible working hours;
  • 24 calendar days of vacation per year and paid sick leaves;
  • Financial support.

BENEFITS AND PERKS

  • Worklife atmoshere
  • Team spirit
  • Professional mindset

BENEFITS AND PERKS

Worklife atmoshere

BENEFITS AND PERKS

Team spirit

BENEFITS AND PERKS

Professional mindset

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