Talent Stock Solutions | Jobs | Machine Learning Engineer | BigDataKB.com | 02-04-22

โ€”

by

Job Location: Noida

The roles key objectives include:

  • Work on the deployment of machine learning and deep learning models.
  • Help in accelerating model inference using various compression tools like onnx,

Torchscript, TensorRT, OpenVINO ….etc . Develop and maintain a data streaming

pipeline (both batch and real-time) for data integration and large-scale machine

learning.

  • Deliver best practices recommendations and technical presentations around machine

learning deployment including real-time modeling.

  • Maintain and further enhance the internal model feature store and optimize the feature

engineering script.

  • Full life cycle implementation from requirements analysis, platform selection, technical

architecture design, application design and development, testing, and deployment.

  • Responsible for the end-to-end deployment of predictive models including scoping,

testing, implementation, maintenance, tracking, and optimization of predictive models.

  • Responsible for complete and accurate documentation of all development around

machine learning engineering.

You will need to have:

  • 2+ years of experience implementing and deploying machine learning and deep

learning frameworks through distributions cluster and application programming in

cloud platforms including AWS and GCP.

  • Basic Knowledge of tools/libraries such as TensorFlow, Pytorch, Keras, numpy,

pandas etc.

  • Strong understanding of data structures and algorithms and experience in Python.

Some experience with computer vision(classification, segmentation, object detection)

pipelines

  • Deep experience across systems integration, information management, data

management and architecture, and business analytics.

  • Language: Python, Java, Scala, Unix bash script, REST API process.

Apply Here

Submit CV To All Data Science Job Consultants Across India For Free

๐Ÿ” Explore All Related ITSM Jobs Below! ๐Ÿš€ โœ… Select your preferred “Job Category” in the Job Category Filter ๐ŸŽฏ ๐Ÿ”Ž Hit “Search” to find matching jobs ๐Ÿ”ฅ โž• Click the “+” icon that appears just before the company name to see the Job Detail & Apply Link ๐Ÿ“๐Ÿ’ผ

Comments

Leave a Reply

Your email address will not be published. Required fields are marked *