Python Software Development - Machine Learning Engineering
(Energie, Wasser und Umwelt, >10.000 Mitarbeiter)
Schlagworte
Skills
Core Competencies:
Professional Experience:
- Efficient and scalable implementation of computationally intensive algorithms.
- Expertise in time series and stock market analytics.
- Proficiency in deep learning and numerical stability implementations.
- Extensive experience with Bayesian optimization and high-dimensional non-linear data analytics.
- Skilled in visualizing, presenting, and documenting complex tasks.
- Strong background in process automation and verification of complex algorithm implementations.
- Proven ability to thrive in a research environment.
- Knowledgeable in reinforcement learning, studied at IAS Darmstadt @ TU Darmstadt.
- Experienced in multi-armed bandits, model predictive control, and probabilistic modelling.
- Up-to-date with current research trends.
- Proficient in feature extraction/creation and application of clustering and classification algorithms.
- Competent with Git/versioning systems.
- Skilled in a variety of tools and frameworks, including Azure, PyTorch, Numpy, Scikit-learn, SciPy, Pandas, Pyro, Stan, Python, FastAPI, Docker, Postgres, SQL, Tensorflow/ Tensorflow Probability, Terraform, and Google Cloud.
Professional Experience:
- Quantitative Analyst/Machine Learning Scientist, Privately Managed Fund: Utilized machine learning techniques for fund management.
- Developer, Analytics Dashboard: Developed an analytics dashboard using Django, Flask, and MongoDB.
- Database Developer: Designed and developed a relational database (PostgreSQL) with API access via FastAPI.
- Machine Learning Engineer: Built a robust stock analytics algorithm for real-time anomaly detection and reporting (PyTorch, Pandas).
- Research Associate: Solved a non-linear optimization task using deep learning architectures for an LED lamp setting optimization project (Tensorflow, Matlab).
- Robotics Data Scientist: Worked extensively with robotics data and implemented classic control and reinforcement learning algorithms.
- Data Scientist, Twitter Sentiment Analysis: Conducted real-time sentiment analysis on Twitter data using spaCy.
- Data Engineer, Multiple Projects: Developed several data pipelines with distributed processing and data provisioning via Rest API access (Google Cloud, FastAPI, Docker, Terraform).
- Time Series Data Specialist: Led numerous projects involving time series data.
Projekthistorie
08/2022
-
bis jetzt
Dynamically scalable grid monitoring software for German electrical grid:
Working on conceptual design, implementation and go-live following DevOps best practices.
Involves Machine Learning approaches and rule based mechanisms.
Working on conceptual design, implementation and go-live following DevOps best practices.
Involves Machine Learning approaches and rule based mechanisms.
08/2023
-
03/2023
Developed an internal SDK for Data Scientist
(Energie, Wasser und Umwelt, >10.000 Mitarbeiter)
Development of a user-friendly Python SDK for accessing internal sensor data, tailored for data scientists. Implemented authentication processes in line with Azure standards.
02/2020
-
08/2022
Machine Learning Scientist/Engineer
(Banken und Finanzdienstleistungen, < 10 Mitarbeiter)
Design, development and evaluation of an investment software with backtesting/analysis functionalities that provide insights in the executed strategies. Moreover, the design of new strategies was part of this project.
Reisebereitschaft
Verfügbar in den Ländern
Deutschland
exali IT-Haftpflicht-Siegel (Sondertarif für Freelancermap-Mitglieder)
Das original exali IT-Haftpflicht-Siegel bestätigt dem Auftraggeber, dass die betreffende Person oder Firma eine aktuell gültige branchenspezifische Berufs- bzw. Betriebshaftpflichtversicherung abgeschlossen hat. Diese Versicherung wurde zum Sondertarif für Freelancermap-Mitglieder abgeschlossen.
Versicherungsbeginn:
26.06.2022
Versicherungsende:
01.07.2024
