Data Science Engineer

Responsibilities:

• Designing and developing machine learning and deep learning systems according to the requirements
• Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability
• Select appropriate datasets and data representation methods
• Deploying models to production
• Independently handle bug fixes and releases to production

Skills and Experience:

• Previous working experience as a Python Developer, Machine learning engineer or similar role
• Python experience in processing, and analyzing data from databases and APIs
• Knowledge and experience  with python package Jupyter Notebook and Jupyter hub 
• Strong computer science fundamentals such as algorithms, data structures, multithreading
• Familiarity with machine learning frameworks (like Keras or PyTorch)
• Object-oriented development, distributed applications, and client-server architecture.
• Design and implement ETL structures and data ingestion pipelines.
• Expand and optimize data pipelines, data flow, and collection for cross-functional teams. 
• Strong experience querying SQL relational databases
• Experience with Version control tools (Git)
• Excellent communication skills, should be able to discuss the requirements effectively with the client and internal teams.

Education and Experience:

• Bachelors or Masters from Premier Institutes preferred.
• Experience 3 -10 years