Machine Learning Engineer
hace 2 semanas
Kapsch Trafficcom Transportation Sa. is seeking a highly skilled Machine Learning Engineer to join our team.
Responsibilities:
- Design and build software services to power our data products enabling data-driven decisions to improve traffic safety and prediction accuracy.
- Develop, train, and test ML models to perform information retrieval and forecast analysis for mobility and traffic data domain.
- Using large data-sets to develop algorithms capable of learning and eventually making predictions.
- Analyze use cases of ML algorithms, ranking by success probability and applying the outcome to support business decisions.
- Enrich existing ML frameworks and libraries.
- Productize training models and package them into independent software services.
- Continuously improve deployed models by applying state-of-the-art techniques as well as code and data set quality, automating where possible.
Requirements:
- Bachelor/Master Degree in Software Engineering or equivalent practical experience.
- Work experience in product development of ML related software solutions.
- Solid understanding of ML algorithms, proficient in math and statistics.
- Proficient experience with programming languages and data tools.
- Hands-on with Python, Java, Gitlab/Github, Cloud Computing.
- Experience in building up machine learning train and release pipelines.
- Analytical mindset and solution-driven personality.
- Practice and live the agile mindset.
- Good oral and written English.
Desirable:
- Knowledge of time series, geo-data, data version control.
- Experience with Tensorflow, Airflow, Streamlit, Jupyter.
- Practical knowledge of CI/CD tools.
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