No of Positions: 1
Location: Bengaluru
Tentative Start Date: July 01, 2022
Work From : Offsite
Rate : $ 10 - 16 (Hourly)
Experience : 3 to 5 Year
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