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Data Scientist / ML Engineer

No of Positions  No of Positions:   1

location Location: Bengaluru

date Tentative Start Date:   July 01, 2022

Work From Work From : Offsite

rate Rate : $ 10  -  16 (Hourly)

experience Experience : 3 to 5 Year

Job Applicants : 10
Job Views : 143
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Job Category : Information Technology & Services
Duration : 6-12  Month
Key Skills Required Skills
Sagemaker R AWS RDS ML Python Tensorflow Pytorch Xgboost EMR
Description

Data Scientist / ML Engineer

Experience: 3 to 5 Years

Must Have Skills - Sage maker, R, AWS RDS, ML Libraries, AWS, Python

Skill sets:

• Experience using Python, and/ or R

• Experience using ML libraries, such as scikit-learn, TensorFlow, Pytorch, xgboost, etc.

• Experience in designing and building ML training and inference pipelines on AWS by leveraging different features of Sage Maker and other related services of AWS. This includes familiarity with orchestration tools like Sage Maker Pipelines, Airflow, Step Functions, etc.; Model deployment as Sage Maker endpoints; Sage Maker training and Batch jobs.

• Experience in building data ingestion pipelines from different data stores on AWS. Working knowledge of AWS technologies like RDS, EMR, etc.

• Strong communication skills to interface with different levels and disciplines within a customer's organization. Additional qualifications

• Ability to deliver a ML project from beginning to end, including model building, experimentation, and validation.

• Experience in applying machine learning to optimize industrial and manufacturing processes

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