HI,
Skills Required:
- Experience with Python Development
- Applied Statistics
- Experience working with libraries like numpy, pandas, keras, scikit learn, matplotlib and tensorflow
- Experience with developing and training of Deep Learning models
- Experience with application/model deployment on various platforms/servers (Linux is preferable)
- Experience/ good working knowledge of time series analysis techniques and models
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Role: Machine Learning Engineer
Location: Irving,TX
Implementation-TCSClient-CITI
Responsibilities:
As an associate under this role, below are the list of tasks/responsibilities expected to be undertaken
- The candidate would be an integral part of the team regarding all ML/MLOps activities on which they
will primarily focus.
- The candidate will be responsible for the development, training (and retraining as required),
deployment and maintenance of models in production.
- The candidate will be responsible for developing and enhancing python flask applications and
integrating models on the same.
- The candidate will be required to take a pivotal role in deploying new applications and
enhancements/features on existing applications deployed on various platforms
- The candidate will be responsible for working on research and analysis for potential new use cases
including but not limited to analyzing the provided data, performing EDA/pre-processing on the same,
finalizing/optimizing the model, participate in mapping out the end-to-end approach to be taken for
implementation of the same and to communicate and demo the same to clients as required.
- The candidate will be responsible for working with the respective teams for reviewing/validating the
model on a regular basis, submit appropriate documentation/metrics as required for new models and
whenever existing models are changed.
As an associate under this role, below are the list of tasks/responsibilities expected to be undertaken
- The candidate would be an integral part of the team regarding all ML/MLOps activities on which they
will primarily focus.
- The candidate will be responsible for the development, training (and retraining as required),
deployment and maintenance of models in production.
- The candidate will be responsible for developing and enhancing python flask applications and
integrating models on the same.
- The candidate will be required to take a pivotal role in deploying new applications and
enhancements/features on existing applications deployed on various platforms
- The candidate will be responsible for working on research and analysis for potential new use cases
including but not limited to analyzing the provided data, performing EDA/pre-processing on the same,
finalizing/optimizing the model, participate in mapping out the end-to-end approach to be taken for
implementation of the same and to communicate and demo the same to clients as required.
- The candidate will be responsible for working with the respective teams for reviewing/validating the
model on a regular basis, submit appropriate documentation/metrics as required for new models and
whenever existing models are changed.
Skills Required:
- Experience with Python Development
- Applied Statistics
- Experience working with libraries like numpy, pandas, keras, scikit learn, matplotlib and tensorflow
- Experience with developing and training of Deep Learning models
- Experience with application/model deployment on various platforms/servers (Linux is preferable)
- Experience/ good working knowledge of time series analysis techniques and models
- Experience with SQL (intermediate)
- Experience with EAP/Hive is an added advantage
- Knowledge/Experience with Flask Framework would be an added advantage
- Knowledge of Redhat Openshift platform is an added advantage
- Experience with EAP/Hive is an added advantage
- Knowledge/Experience with Flask Framework would be an added advantage
- Knowledge of Redhat Openshift platform is an added advantage
Thivya Jothi
US IT Recruiter | Techorbit
1300 W Walnut Hill Lane, Suite# 260, Irving, TX 75038
E-Mail: jothi@techorbit.com || Contact: 469-9235803
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