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Job Description :
Vacancies & Eligibility Criteria:
| Post | Vacancy | Age | Qualification | Pay |
|---|---|---|---|---|
| Data Engineer II, International Seller Growth | N/A | N/A | Any Degree | as per norms |
Dates to Consider:
Last date for Appling Online : ASAP
BASIC QUALIFICATIONS:
· 5+ Years of experience as an ML Engineer / Data engineer in ML domain with proven expertise in at least one database technology such as Hadoop, EMR, Redshift, Spark or Scala and one ML model implementation
· Coding proficiency in Python, Shell & Spark
· Experience with scalable model training leveraging big data platform
· Experience with ML libraries/frameworks such as Tensorflow, AWS Sagemaker, Keras, etc.
· Experience developing and supporting machine learning production system
· Experience with at least one massively parallel processing data technology such as Spark or Hadoop based big data solution
· Experience in building highly available distributed systems of data extraction, ingestion, and processing of large data sets
· Excellent stakeholder management and proven communication skills with both business and technical teams
· A desire to work in a collaborative, intellectually curious environment with a strong “Learn and Be Curious” attitude
· You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions
BASIC QUALIFICATIONS
· 3+ years of experience as a Data Engineer or in a similar role
· Experience with data modeling, data warehousing, and building ETL pipelines
· Experience in SQL
PREFERRED QUALIFICATIONS
· Experience working with AWS cloud environment with a strong understanding of DDB, S3, Redshift, Step functions, etc.
· Experience working with both supervised and unsupervised machine learning models
· Experience working with Orchestration tools such as Apache Airflow
· Experience working with Amazon Sage maker (AWS Machine Learning Platform)
· Experience in operating multilevel abstraction when training and deploying machine learning models
· Knowledge of Advanced Statistics and implementing ML models.
Apply Mode:
Online
How To Apply:
Interested candidates with qualifications may apply online for concerned posts as per the given online application form.
Keeping a print copy for future use is advised.
| Important Link | |
|---|---|
| Apply Online | Click Here |
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