Machine Learning Operations Engineers İş İlanı
İşveren Hakkında
QUALIFICATIONS AND JOB DESCRIPTION
Are you ready to “Build the Future” with us?
We were established in 2012 to enlighten our customers’ path with the excitement of creating value in the technology world.
As we continue our way as an R&D center since 2017, we continue to be one of the new companies that value people, pursue new technologies with passion, and break grounds in the IT sector with our agile and reliable working culture, and we are looking for a "Machine Learning Operations Engineers" for our Advanced Data Analytics Team.
You will be working collaboratively with Data Scientists and other MLOp Engineers, designing and developing end-to-end automated ML pipelines to maintain deployed machine learning models performances above desired levels. Monitor performance of models in real-time by using Grafana dashboards, trigger automated ML pipelines on a schedule or on model performance degredation. Auto deploy re-trained / re-tuned model through versioning by MLFlow.
REQUIRED
- BS Degree from Computer Engineering, Electrical and Electronics Engineering or a similar department
- Have minimum 2 years of experience in a similar role such as Machine Learning Engineer etc.
- Proficiency in Python (Pandas, Numpy, Scikit-Learn) and SQL including complex queries
- Deliver production grade clean and readable code through ensuring coding principles, additional docstrings etc. (git, version control, code reviews)
- Good knowledge of workflow orchestration tools, Airflow is preferred
- Good knowledge of statistical modelling and model evaluation principles. Understanding model lifecycle
- Experience deploying ML models as a service and containerization (FastAPI, Docker preferred)
- Basic knowledge of linux commands, experience of managing conda environments
NICE TO HAVE
- Basic knowledge of ML lifecycle management tools such as MLFlow or Kubeflow
- Building data pipelines using tools like PySpark or other distributed data processing frameworks
- MSc Degree from related field
- Object-Oriented Programming essentials to implement Scikit-learn compatible custom preprocessing pipeline classes
- Data Structures and Algorithms knowledge
- Basic knowledge of AutoML platforms such as H2O
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