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Machine Learning Engineer

Keywords / Skills : Machine Learning, Deep Learning, tensorflow, Bigdata

8 - 15 years
Posted: 2019-07-31

IT/Computers - Software
Other Software/Hardware/EDP
Posted On
31st Jul 2019
Job Description

Hope you are doing good!

This is Megha Shah from Magna Infotech (Quess Company). Please find below job opportunity for your reference. If interested, send your updated resume.

Job Overview:

Must Haves:

Python: numpy, scipy, scikit-learn, pandas, jupyter notebook, XGBoost, word2vec, Gensim

Deep Learning: tensorflow, keras, pytorch

Database: SQL, mySQL, Hive, ETLs

Engineering: Docker, Git

Machine learning libraries and methodologies

Big Data: AWS cloud services (S3, Athena, Lambda, Redshift, ECS, EC2, CodeCommit), Apache Hadoop

OS: expert in linux

Spark, Neo4j

ML Specific:

Data capture, annotations and tagging of training/control sets.

Cleaning data and manipulating to get the most out of the data

Pre-processing and transforming captured data in preparation for training.

Using various Machine learning python & tensorflow libraries to execute model training

Post model training scoring validation and optimisation

Building model from the ground up

Engineering/Computer Software Degree

Good software engineering principles

About Company

About Magna Infotech:
We are the largest IT staff augmentation provider in India, with 10,000+ employees spread across 500+ skill sets. Through our team of 500+ experienced recruiters, we provide the entire range of staff augmentation services to our 300+ clients spread across various industries, including BFSI, IT/ITES Services, Automotive and Engineering, Telecom, Healthcare, and FMCG & Retail.
Magna Infotech is a division of Quess Corp Limited, India’s leading business services provider established in 2007. Headquartered in Bengaluru, Quess Corp has a PAN-India presence with 52 offices across 27 cities, as well as operations in Canada, USA, South America, UAE, Sri Lanka, Malaysia, Singapore, Philippines and Vietnam. It serves 1700+ customers across 5 segments, namely: Global Technology Solutions, People & Services, Integrated Facility Management, Industrials and Internet Business.
For more information, please visit our website:
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