Location: Berlin, Germany
Remote: Depends
Willing to relocate: No (t yet)
Technologies: Python, R-lang, MariaDB, Redshift, BigQuery, hbase, Solr, Spark, docker, jenkins, git, aws, gcloud, a little bit of Scala, C++
Resume/CV: email me
Email: REDACTED_EMAIL
Hi!
I am a trained mathematician/statistician (MSc) and have worked as machine learning engineer/data scientist for a couple of business- and technology-related AI-projects, mainly building and deploying ml-models.
I have experiences in the fields of NLP/text-mining, RNN architectures, time series forecasting, ensemble architectures, additive modeling, Bayesian modeling, Reinforcement Learning with MDPs and nonlinear optimization. My techstack includes python, R, pytorch, tensorflow, jenkins, docker and others. I co-authored papers in the field of Bayesian supervised learning for NIPS and ECML.
I enjoy working in a highly motivated, solution-oriented team which is eager to learn. I look for innovative projects in the fields of applied machine learning and data science who aim to change the world for the better.