ML Engineer
ML Engineer
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1 Vacancy
Job Description
- Object oriented programming with Python
- Scaling the code for an existing model
- Deploying the scaled model into production
- Identify model drifting and how to retrain a drifted model in production
- Creating CI/CD pipelines to automatically deploy the trained/retrained models into production
- Data processing data design and modelling deploying the model
- Proficiency with a deep learning framework such as TensorFlow or Keras
- Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas
- Experience with solving different flavours of ML problems which includes Computer vision regression predictions etc
- Working in public cloud providers (like GCP AWS)
- Ability to work independently on tasks and deliver with a high-level of quality
- Ability to work in teams and be open to comments and feedback
- Ability to learn quickly and to adapt to a fast-paced environment
- Certifications - GCP and/or AWS professional level
- Your contributions to the community - tech blog StackOverflow etc.
deploying the scaled model into production,proficiency with scikit-learn,tensorflow,proficiency with tensorflow,ci/cd,creating ci/cd pipelines,working in gcp,object oriented programming with python,working in aws,proficiency with keras,modelling,identify model drifting and how to retrain a drifted model in production,data design,experience with predictions,python,experience with regression,data processing,experience with computer vision,keras,gcp,aws,proficiency with pandas,scaling the code for an existing model
Employment Type
Full Time
