Beta Release
8 - 12 Years
Not Disclosed
Full Time
USA, United States of America



Posted on 1 Jun, 2022

Job Description | Role and Responsibilities

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

Candidate Profile | Who Can Apply
  • ML Engineer with Hands on experience in Knowledge based graphs technology
  • Master’s degree in Computer Science, Mathematics or similar field
  • Experience in Knowledge based graphs technology and using reasoners. – ex: neo4j
  • Azure certification and Databricks certification
  • 8+ years of experience in AI & DL methodology
  • AI Frameworks such as Tensorflow, Pytorch, and Keras
  • Expert in Azure Cloud (*Machine Learning*: Event Hub/Streaming Analytics, HDI, DB, Azure ML, Azure Log Analytics, Databricks)
  • Experience with Spark DataFrame and SQL API’s required.  Spark streaming/structured streaming are nice to have
  • Proven experience as a Machine Learning Engineer or similar role
  • Understanding of data structures, data modeling and software architecture
  • Deep knowledge of math, probability, statistics and algorithms
  • Experience with Python and development environment. Ability to write robust code in Python, Java and R
  • Experience with Databricks and Jupyter Notebooks
  • Experience contributing to open source projects.
  • Excellent communication skills
  • Ability to work in a team
  • Industry - IT - Software / Product Development
  • Functional Area - Production / Manufacturing
  • Job Role - Machine Operator
  • Employment type - Full Time
  • Work Mode - Work From Home / WFH

Job Related Keywords
  • BTech/BE - Computers
  • MCA - Computers
  • Any Doctorate - Any Specialization
About Employer
Contact Details
Candidate Can Connect