Beta Release
USA, United States of America
Views:1210
Applicants:3
Posted on 30 Nov, -0001
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
Overview
- 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
Education
- BTech/BE - Computers
- MCA - Computers
- Any Doctorate - Any Specialization
About Employer
Contact Details
Name - Prashanth Galiveeti
Designation - HR
- prashanth@compunnel.com
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